diff --git a/.gitignore b/.gitignore
index 4dbf939ed64792ff9f11539e92510cb55e62111f..35e58693279343c7e00e2efa392a6bf0e95b9973 100644
--- a/.gitignore
+++ b/.gitignore
@@ -41,4 +41,4 @@ pip-wheel-metadata
 
 poetry/core/*
 
-public
\ No newline at end of file
+public
diff --git a/Dockerfile b/Dockerfile
index bdae06f38c89a63ac1766658e277e868adfe89c2..cda99b8bad6aad3610428d6dd53035805794c8d2 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,42 +1,4 @@
-FROM debian:bookworm-slim AS ffmpeg
-
-RUN export DEBIAN_FRONTEND=noninteractive \
-    && apt-get -qq update \
-    && apt-get -qq install --no-install-recommends \
-    build-essential \
-    git \
-    pkg-config \
-    yasm \
-    ca-certificates \
-    && rm -rf /var/lib/apt/lists/*
-
-RUN git clone https://github.com/FFmpeg/FFmpeg.git --depth 1 --branch n6.1.1 --single-branch /FFmpeg-6.1.1
-
-WORKDIR /FFmpeg-6.1.1
-
-RUN PATH="$HOME/bin:$PATH" PKG_CONFIG_PATH="$HOME/ffmpeg_build/lib/pkgconfig" ./configure \
-      --prefix="$HOME/ffmpeg_build" \
-      --pkg-config-flags="--static" \
-      --extra-cflags="-I$HOME/ffmpeg_build/include" \
-      --extra-ldflags="-L$HOME/ffmpeg_build/lib" \
-      --extra-libs="-lpthread -lm" \
-      --ld="g++" \
-      --bindir="$HOME/bin" \
-      --disable-doc \
-      --disable-htmlpages \
-      --disable-podpages \
-      --disable-txtpages \
-      --disable-network \
-      --disable-autodetect \
-      --disable-hwaccels \
-      --disable-ffprobe \
-      --disable-ffplay \
-      --enable-filter=copy \
-      --enable-protocol=file \
-      --enable-small && \
-    PATH="$HOME/bin:$PATH" make -j$(nproc) && \
-    make install && \
-    hash -r
+FROM onerahmet/ffmpeg:n7.1 AS ffmpeg
 
 FROM swaggerapi/swagger-ui:v5.9.1 AS swagger-ui
 
@@ -46,15 +8,14 @@ ENV POETRY_VENV=/app/.venv
 
 RUN python3 -m venv $POETRY_VENV \
     && $POETRY_VENV/bin/pip install -U pip setuptools \
-    && $POETRY_VENV/bin/pip install poetry==1.6.1
+    && $POETRY_VENV/bin/pip install poetry==2.1.1
 
 ENV PATH="${PATH}:${POETRY_VENV}/bin"
 
 WORKDIR /app
 
 COPY . /app
-COPY --from=ffmpeg /FFmpeg-6.1.1 /FFmpeg-6.1.1
-COPY --from=ffmpeg /root/bin/ffmpeg /usr/local/bin/ffmpeg
+COPY --from=ffmpeg /usr/local/bin/ffmpeg /usr/local/bin/ffmpeg
 COPY --from=swagger-ui /usr/share/nginx/html/swagger-ui.css swagger-ui-assets/swagger-ui.css
 COPY --from=swagger-ui /usr/share/nginx/html/swagger-ui-bundle.js swagger-ui-assets/swagger-ui-bundle.js
 
diff --git a/Dockerfile.gpu b/Dockerfile.gpu
index b605707d45663f6edee906d86e1cd55cd78e2c09..414c92c0e1392670d96ac3701e2845add3ff3ba7 100644
--- a/Dockerfile.gpu
+++ b/Dockerfile.gpu
@@ -1,48 +1,11 @@
-FROM debian:bookworm-slim AS ffmpeg
-
-RUN export DEBIAN_FRONTEND=noninteractive \
-    && apt-get -qq update \
-    && apt-get -qq install --no-install-recommends \
-    build-essential \
-    git \
-    pkg-config \
-    yasm \
-    ca-certificates \
-    && rm -rf /var/lib/apt/lists/*
-
-RUN git clone https://github.com/FFmpeg/FFmpeg.git --depth 1 --branch n6.1.1 --single-branch /FFmpeg-6.1.1
-
-WORKDIR /FFmpeg-6.1.1
-
-RUN PATH="$HOME/bin:$PATH" PKG_CONFIG_PATH="$HOME/ffmpeg_build/lib/pkgconfig" ./configure \
-      --prefix="$HOME/ffmpeg_build" \
-      --pkg-config-flags="--static" \
-      --extra-cflags="-I$HOME/ffmpeg_build/include" \
-      --extra-ldflags="-L$HOME/ffmpeg_build/lib" \
-      --extra-libs="-lpthread -lm" \
-      --ld="g++" \
-      --bindir="$HOME/bin" \
-      --disable-doc \
-      --disable-htmlpages \
-      --disable-podpages \
-      --disable-txtpages \
-      --disable-network \
-      --disable-autodetect \
-      --disable-hwaccels \
-      --disable-ffprobe \
-      --disable-ffplay \
-      --enable-filter=copy \
-      --enable-protocol=file \
-      --enable-small && \
-    PATH="$HOME/bin:$PATH" make -j$(nproc) && \
-    make install && \
-    hash -r
+FROM onerahmet/ffmpeg:n7.1 AS ffmpeg
 
 FROM swaggerapi/swagger-ui:v5.9.1 AS swagger-ui
 
-FROM nvidia/cuda:11.8.0-cudnn8-runtime-ubuntu22.04
+FROM nvidia/cuda:12.6.3-cudnn-runtime-ubuntu22.04
 
 ENV PYTHON_VERSION=3.10
+
 ENV POETRY_VENV=/app/.venv
 
 RUN export DEBIAN_FRONTEND=noninteractive \
@@ -59,7 +22,7 @@ RUN ln -s -f /usr/bin/python${PYTHON_VERSION} /usr/bin/python3 && \
 
 RUN python3 -m venv $POETRY_VENV \
     && $POETRY_VENV/bin/pip install -U pip setuptools \
-    && $POETRY_VENV/bin/pip install poetry==1.6.1
+    && $POETRY_VENV/bin/pip install poetry==2.1.1
 
 ENV PATH="${PATH}:${POETRY_VENV}/bin"
 
@@ -71,13 +34,12 @@ RUN poetry config virtualenvs.in-project true
 RUN poetry install --no-root
 
 COPY . .
-COPY --from=ffmpeg /FFmpeg-6.1.1 /FFmpeg-6.1.1
-COPY --from=ffmpeg /root/bin/ffmpeg /usr/local/bin/ffmpeg
+COPY --from=ffmpeg /usr/local/bin/ffmpeg /usr/local/bin/ffmpeg
 COPY --from=swagger-ui /usr/share/nginx/html/swagger-ui.css swagger-ui-assets/swagger-ui.css
 COPY --from=swagger-ui /usr/share/nginx/html/swagger-ui-bundle.js swagger-ui-assets/swagger-ui-bundle.js
 
 RUN poetry install
-RUN $POETRY_VENV/bin/pip install torch==1.13.1+cu117 -f https://download.pytorch.org/whl/torch
+RUN $POETRY_VENV/bin/pip install torch==2.6.0 --index-url https://download.pytorch.org/whl/cu121
 
 EXPOSE 9000
 
diff --git a/README.md b/README.md
index b5212835417a04f35bd3969d18ebdf43b7fc0ba7..be4208276eb0b09446c62b27e2165b09518797c6 100644
--- a/README.md
+++ b/README.md
@@ -3,9 +3,9 @@
 ![Build](https://img.shields.io/github/actions/workflow/status/ahmetoner/whisper-asr-webservice/docker-publish.yml.svg)
 ![Licence](https://img.shields.io/github/license/ahmetoner/whisper-asr-webservice.svg)
 
-# Whisper ASR Webservice
+# Whisper ASR Box
 
-Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multitask model that can perform multilingual speech recognition as well as speech translation and language identification. For more details: [github.com/openai/whisper](https://github.com/openai/whisper/)
+Whisper ASR Box is a general-purpose speech recognition toolkit. Whisper Models are trained on a large dataset of diverse audio and is also a multitask model that can perform multilingual speech recognition as well as speech translation and language identification.
 
 ## Features
 
@@ -13,29 +13,79 @@ Current release (v1.7.1) supports following whisper models:
 
 - [openai/whisper](https://github.com/openai/whisper)@[v20240930](https://github.com/openai/whisper/releases/tag/v20240930)
 - [SYSTRAN/faster-whisper](https://github.com/SYSTRAN/faster-whisper)@[v1.1.0](https://github.com/SYSTRAN/faster-whisper/releases/tag/v1.1.0)
+- [whisperX](https://github.com/m-bain/whisperX)@[v3.1.1](https://github.com/m-bain/whisperX/releases/tag/v3.1.1)
 
 ## Quick Usage
 
 ### CPU
 
-```sh
-docker run -d -p 9000:9000 -e ASR_MODEL=base -e ASR_ENGINE=openai_whisper onerahmet/openai-whisper-asr-webservice:latest
+```shell
+docker run -d -p 9000:9000 \
+  -e ASR_MODEL=base \
+  -e ASR_ENGINE=openai_whisper \
+  onerahmet/openai-whisper-asr-webservice:latest
 ```
 
 ### GPU
 
-```sh
-docker run -d --gpus all -p 9000:9000 -e ASR_MODEL=base -e ASR_ENGINE=openai_whisper onerahmet/openai-whisper-asr-webservice:latest-gpu
+```shell
+docker run -d --gpus all -p 9000:9000 \
+  -e ASR_MODEL=base \
+  -e ASR_ENGINE=openai_whisper \
+  onerahmet/openai-whisper-asr-webservice:latest-gpu
 ```
 
-for more information:
+#### Cache
 
-- [Documentation/Run](https://ahmetoner.github.io/whisper-asr-webservice/run)
-- [Docker Hub](https://hub.docker.com/r/onerahmet/openai-whisper-asr-webservice)
+To reduce container startup time by avoiding repeated downloads, you can persist the cache directory:
+
+```shell
+docker run -d -p 9000:9000 \
+  -v $PWD/cache:/root/.cache/ \
+  onerahmet/openai-whisper-asr-webservice:latest
+```
+
+## Key Features
+
+- Multiple ASR engines support (OpenAI Whisper, Faster Whisper, WhisperX)
+- Multiple output formats (text, JSON, VTT, SRT, TSV)
+- Word-level timestamps support
+- Voice activity detection (VAD) filtering
+- Speaker diarization (with WhisperX)
+- FFmpeg integration for broad audio/video format support
+- GPU acceleration support
+- Configurable model loading/unloading
+- REST API with Swagger documentation
+
+## Environment Variables
+
+Key configuration options:
+
+- `ASR_ENGINE`: Engine selection (openai_whisper, faster_whisper, whisperx)
+- `ASR_MODEL`: Model selection (tiny, base, small, medium, large-v3, etc.)
+- `ASR_MODEL_PATH`: Custom path to store/load models
+- `ASR_DEVICE`: Device selection (cuda, cpu)
+- `MODEL_IDLE_TIMEOUT`: Timeout for model unloading
 
 ## Documentation
 
-Explore the documentation by clicking [here](https://ahmetoner.github.io/whisper-asr-webservice).
+For complete documentation, visit:
+[https://ahmetoner.github.io/whisper-asr-webservice](https://ahmetoner.github.io/whisper-asr-webservice)
+
+## Development
+
+```shell
+# Install poetry
+pip3 install poetry
+
+# Install dependencies
+poetry install
+
+# Run service
+poetry run whisper-asr-webservice --host 0.0.0.0 --port 9000
+```
+
+After starting the service, visit `http://localhost:9000` or `http://0.0.0.0:9000` in your browser to access the Swagger UI documentation and try out the API endpoints.
 
 ## Credits
 
diff --git a/app/asr_models/asr_model.py b/app/asr_models/asr_model.py
index fc2205083ed48e5e88267aeb3afa1de2d2e61051..8c625ecf2e8717f5b4f8776db47ede1a71a2ff9f 100644
--- a/app/asr_models/asr_model.py
+++ b/app/asr_models/asr_model.py
@@ -13,6 +13,7 @@ class ASRModel(ABC):
     """
     Abstract base class for ASR (Automatic Speech Recognition) models.
     """
+
     model = None
     model_lock = Lock()
     last_activity_time = time.time()
@@ -28,14 +29,17 @@ class ASRModel(ABC):
         pass
 
     @abstractmethod
-    def transcribe(self,
-                   audio,
-                   task: Union[str, None],
-                   language: Union[str, None],
-                   initial_prompt: Union[str, None],
-                   vad_filter: Union[bool, None],
-                   word_timestamps: Union[bool, None]
-                   ):
+    def transcribe(
+        self,
+        audio,
+        task: Union[str, None],
+        language: Union[str, None],
+        initial_prompt: Union[str, None],
+        vad_filter: Union[bool, None],
+        word_timestamps: Union[bool, None],
+        options: Union[dict, None],
+        output,
+    ):
         """
         Perform transcription on the given audio file.
         """
@@ -52,7 +56,8 @@ class ASRModel(ABC):
         """
         Monitors the idleness of the ASR model and releases the model if it has been idle for too long.
         """
-        if CONFIG.MODEL_IDLE_TIMEOUT <= 0: return
+        if CONFIG.MODEL_IDLE_TIMEOUT <= 0:
+            return
         while True:
             time.sleep(15)
             if time.time() - self.last_activity_time > CONFIG.MODEL_IDLE_TIMEOUT:
diff --git a/app/asr_models/faster_whisper_engine.py b/app/asr_models/faster_whisper_engine.py
index a0b8620281373058002b0d893d5a00ddbe4b2ef4..d7c3c44fb9352857ab5222fd59075a80e5e832ad 100644
--- a/app/asr_models/faster_whisper_engine.py
+++ b/app/asr_models/faster_whisper_engine.py
@@ -32,12 +32,14 @@ class FasterWhisperASR(ASRModel):
             initial_prompt: Union[str, None],
             vad_filter: Union[bool, None],
             word_timestamps: Union[bool, None],
+            options: Union[dict, None],
             output,
     ):
         self.last_activity_time = time.time()
 
         with self.model_lock:
-            if self.model is None: self.load_model()
+            if self.model is None:
+                self.load_model()
 
         options_dict = {"task": task}
         if language:
@@ -90,7 +92,5 @@ class FasterWhisperASR(ASRModel):
             WriteTSV(ResultWriter).write_result(result, file=file)
         elif output == "json":
             WriteJSON(ResultWriter).write_result(result, file=file)
-        elif output == "txt":
-            WriteTXT(ResultWriter).write_result(result, file=file)
         else:
-            return "Please select an output method!"
+            WriteTXT(ResultWriter).write_result(result, file=file)
diff --git a/app/asr_models/mbain_whisperx_engine.py b/app/asr_models/mbain_whisperx_engine.py
new file mode 100644
index 0000000000000000000000000000000000000000..87494a3c788dc7a31c2c548e948a901d8041919f
--- /dev/null
+++ b/app/asr_models/mbain_whisperx_engine.py
@@ -0,0 +1,126 @@
+import time
+from io import StringIO
+from threading import Thread
+from typing import BinaryIO, Union
+
+import whisper
+import whisperx
+from whisperx.utils import ResultWriter, SubtitlesWriter, WriteJSON, WriteSRT, WriteTSV, WriteTXT, WriteVTT
+
+from app.asr_models.asr_model import ASRModel
+from app.config import CONFIG
+
+
+class WhisperXASR(ASRModel):
+    def __init__(self):
+        super().__init__()
+        self.model = {
+            'whisperx': None,
+            'diarize_model': None,
+            'align_model': {}
+        }
+
+    def load_model(self):
+        asr_options = {"without_timestamps": False}
+        self.model['whisperx'] = whisperx.load_model(
+            CONFIG.MODEL_NAME,
+            device=CONFIG.DEVICE,
+            compute_type=CONFIG.MODEL_QUANTIZATION,
+            asr_options=asr_options
+        )
+
+        if CONFIG.HF_TOKEN != "":
+            self.model['diarize_model'] = whisperx.DiarizationPipeline(
+                use_auth_token=CONFIG.HF_TOKEN,
+                device=CONFIG.DEVICE
+            )
+
+        Thread(target=self.monitor_idleness, daemon=True).start()
+
+    def transcribe(
+        self,
+        audio,
+        task: Union[str, None],
+        language: Union[str, None],
+        initial_prompt: Union[str, None],
+        vad_filter: Union[bool, None],
+        word_timestamps: Union[bool, None],
+        options: Union[dict, None],
+        output,
+    ):
+        self.last_activity_time = time.time()
+        with self.model_lock:
+            if self.model is None:
+                self.load_model()
+
+        options_dict = {"task": task}
+        if language:
+            options_dict["language"] = language
+        if initial_prompt:
+            options_dict["initial_prompt"] = initial_prompt
+        with self.model_lock:
+            result = self.model['whisperx'].transcribe(audio, **options_dict)
+            language = result["language"]
+
+        # Load the required model and cache it
+        # If we transcribe models in many different languages, this may lead to OOM propblems
+        if result["language"] in self.model['align_model']:
+            model_x, metadata = self.model['align_model'][result["language"]]
+        else:
+            self.model['align_model'][result["language"]] = whisperx.load_align_model(
+                language_code=result["language"], device=CONFIG.DEVICE
+            )
+            model_x, metadata = self.model['align_model'][result["language"]]
+
+        # Align whisper output
+        result = whisperx.align(
+            result["segments"], model_x, metadata, audio, CONFIG.DEVICE, return_char_alignments=False
+        )
+
+        if options.get("diarize", False) and CONFIG.HF_TOKEN != "":
+            min_speakers = options.get("min_speakers", None)
+            max_speakers = options.get("max_speakers", None)
+            # add min/max number of speakers if known
+            diarize_segments = self.model['diarize_model'](audio, min_speakers, max_speakers)
+            result = whisperx.assign_word_speakers(diarize_segments, result)
+        result["language"] = language
+
+        output_file = StringIO()
+        self.write_result(result, output_file, output)
+        output_file.seek(0)
+
+        return output_file
+
+    def language_detection(self, audio):
+        # load audio and pad/trim it to fit 30 seconds
+        audio = whisper.pad_or_trim(audio)
+
+        # make log-Mel spectrogram and move to the same device as the model
+        mel = whisper.log_mel_spectrogram(audio).to(self.model.device)
+
+        # detect the spoken language
+        with self.model_lock:
+            if self.model is None:
+                self.load_model()
+            _, probs = self.model.detect_language(mel)
+        detected_lang_code = max(probs, key=probs.get)
+
+        return detected_lang_code
+
+    def write_result(self, result: dict, file: BinaryIO, output: Union[str, None]):
+        default_options = {
+            "max_line_width": CONFIG.SUBTITLE_MAX_LINE_WIDTH,
+            "max_line_count": CONFIG.SUBTITLE_MAX_LINE_COUNT,
+            "highlight_words": CONFIG.SUBTITLE_HIGHLIGHT_WORDS
+        }
+
+        if output == "srt":
+            WriteSRT(SubtitlesWriter).write_result(result, file=file, options=default_options)
+        elif output == "vtt":
+            WriteVTT(SubtitlesWriter).write_result(result, file=file, options=default_options)
+        elif output == "tsv":
+            WriteTSV(ResultWriter).write_result(result, file=file, options=default_options)
+        elif output == "json":
+            WriteJSON(ResultWriter).write_result(result, file=file, options=default_options)
+        else:
+            WriteTXT(ResultWriter).write_result(result, file=file, options=default_options)
diff --git a/app/asr_models/openai_whisper_engine.py b/app/asr_models/openai_whisper_engine.py
index c6c37dc9346ec4380d12507259f87b41fdea695e..655d682bd26f12f9de67ed1b6fdd7253e718bd22 100644
--- a/app/asr_models/openai_whisper_engine.py
+++ b/app/asr_models/openai_whisper_engine.py
@@ -16,32 +16,28 @@ class OpenAIWhisperASR(ASRModel):
     def load_model(self):
 
         if torch.cuda.is_available():
-            self.model = whisper.load_model(
-                name=CONFIG.MODEL_NAME,
-                download_root=CONFIG.MODEL_PATH
-            ).cuda()
+            self.model = whisper.load_model(name=CONFIG.MODEL_NAME, download_root=CONFIG.MODEL_PATH).cuda()
         else:
-            self.model = whisper.load_model(
-                name=CONFIG.MODEL_NAME,
-                download_root=CONFIG.MODEL_PATH
-            )
+            self.model = whisper.load_model(name=CONFIG.MODEL_NAME, download_root=CONFIG.MODEL_PATH)
 
         Thread(target=self.monitor_idleness, daemon=True).start()
 
     def transcribe(
-            self,
-            audio,
-            task: Union[str, None],
-            language: Union[str, None],
-            initial_prompt: Union[str, None],
-            vad_filter: Union[bool, None],
-            word_timestamps: Union[bool, None],
-            output,
+        self,
+        audio,
+        task: Union[str, None],
+        language: Union[str, None],
+        initial_prompt: Union[str, None],
+        vad_filter: Union[bool, None],
+        word_timestamps: Union[bool, None],
+        options: Union[dict, None],
+        output,
     ):
         self.last_activity_time = time.time()
 
         with self.model_lock:
-            if self.model is None: self.load_model()
+            if self.model is None:
+                self.load_model()
 
         options_dict = {"task": task}
         if language:
@@ -64,7 +60,8 @@ class OpenAIWhisperASR(ASRModel):
         self.last_activity_time = time.time()
 
         with self.model_lock:
-            if self.model is None: self.load_model()
+            if self.model is None:
+                self.load_model()
 
         # load audio and pad/trim it to fit 30 seconds
         audio = whisper.pad_or_trim(audio)
@@ -89,7 +86,5 @@ class OpenAIWhisperASR(ASRModel):
             WriteTSV(ResultWriter).write_result(result, file=file, options=options)
         elif output == "json":
             WriteJSON(ResultWriter).write_result(result, file=file, options=options)
-        elif output == "txt":
-            WriteTXT(ResultWriter).write_result(result, file=file, options=options)
         else:
-            return "Please select an output method!"
+            WriteTXT(ResultWriter).write_result(result, file=file, options=options)
diff --git a/app/config.py b/app/config.py
index 64202697feb58f622ddf3f8a0270cc38ba851262..ffc8e6c2f3d77e92c846126484ea8ab5b36398b1 100644
--- a/app/config.py
+++ b/app/config.py
@@ -8,9 +8,14 @@ class CONFIG:
     Configuration class for ASR models.
     Reads environment variables for runtime configuration, with sensible defaults.
     """
-    # Determine the ASR engine ('faster_whisper' or 'openai_whisper')
+    # Determine the ASR engine ('faster_whisper', 'openai_whisper' or 'whisperx')
     ASR_ENGINE = os.getenv("ASR_ENGINE", "openai_whisper")
 
+    # Retrieve Huggingface Token
+    HF_TOKEN = os.getenv("HF_TOKEN", "")
+    if ASR_ENGINE == "whisperx" and HF_TOKEN == "":
+        print("You must set the HF_TOKEN environment variable to download the diarization model used by WhisperX.")
+
     # Determine the computation device (GPU or CPU)
     DEVICE = os.getenv("ASR_DEVICE", "cuda" if torch.cuda.is_available() else "cpu")
 
@@ -35,3 +40,8 @@ class CONFIG:
 
     # Default sample rate for audio input. 16 kHz is commonly used in speech-to-text tasks.
     SAMPLE_RATE = int(os.getenv("SAMPLE_RATE", 16000))
+
+    # Subtitle output options for whisperx
+    SUBTITLE_MAX_LINE_WIDTH = int(os.getenv("SUBTITLE_MAX_LINE_WIDTH", 1000))
+    SUBTITLE_MAX_LINE_COUNT = int(os.getenv("SUBTITLE_MAX_LINE_COUNT", 2))
+    SUBTITLE_HIGHLIGHT_WORDS = os.getenv("SUBTITLE_HIGHLIGHT_WORDS", "false").lower() == "true"
diff --git a/app/factory/asr_model_factory.py b/app/factory/asr_model_factory.py
index 0f97fb53ae0a5ca20caec09dc40c388efcdb863a..dbdc294f59c6b28e5fbd37b20eea87b80e03e284 100644
--- a/app/factory/asr_model_factory.py
+++ b/app/factory/asr_model_factory.py
@@ -1,5 +1,6 @@
 from app.asr_models.asr_model import ASRModel
 from app.asr_models.faster_whisper_engine import FasterWhisperASR
+from app.asr_models.mbain_whisperx_engine import WhisperXASR
 from app.asr_models.openai_whisper_engine import OpenAIWhisperASR
 from app.config import CONFIG
 
@@ -11,5 +12,7 @@ class ASRModelFactory:
             return OpenAIWhisperASR()
         elif CONFIG.ASR_ENGINE == "faster_whisper":
             return FasterWhisperASR()
+        elif CONFIG.ASR_ENGINE == "whisperx":
+            return WhisperXASR()
         else:
             raise ValueError(f"Unsupported ASR engine: {CONFIG.ASR_ENGINE}")
diff --git a/app/utils.py b/app/utils.py
index 154dbbb0129e1767fda9f337cbb1e8fe91c4b6e4..ddc8a99f475255eeaa0dfc6375604a58ff589644 100644
--- a/app/utils.py
+++ b/app/utils.py
@@ -1,7 +1,7 @@
 import json
 import os
 from dataclasses import asdict
-from typing import TextIO, BinaryIO
+from typing import BinaryIO, TextIO
 
 import ffmpeg
 import numpy as np
diff --git a/app/webservice.py b/app/webservice.py
index 7158645a467702a07baf8b997ce825712863ccf1..8f4fa6a3f65dc714b9dad4a122d8a0dadc816b3d 100644
--- a/app/webservice.py
+++ b/app/webservice.py
@@ -35,7 +35,6 @@ assets_path = os.getcwd() + "/swagger-ui-assets"
 if path.exists(assets_path + "/swagger-ui.css") and path.exists(assets_path + "/swagger-ui-bundle.js"):
     app.mount("/assets", StaticFiles(directory=assets_path), name="static")
 
-
     def swagger_monkey_patch(*args, **kwargs):
         return get_swagger_ui_html(
             *args,
@@ -45,7 +44,6 @@ if path.exists(assets_path + "/swagger-ui.css") and path.exists(assets_path + "/
             swagger_js_url="/assets/swagger-ui-bundle.js",
         )
 
-
     applications.get_swagger_ui_html = swagger_monkey_patch
 
 
@@ -56,23 +54,49 @@ async def index():
 
 @app.post("/asr", tags=["Endpoints"])
 async def asr(
-        audio_file: UploadFile = File(...),  # noqa: B008
-        encode: bool = Query(default=True, description="Encode audio first through ffmpeg"),
-        task: Union[str, None] = Query(default="transcribe", enum=["transcribe", "translate"]),
-        language: Union[str, None] = Query(default=None, enum=LANGUAGE_CODES),
-        initial_prompt: Union[str, None] = Query(default=None),
-        vad_filter: Annotated[
-            bool | None,
-            Query(
-                description="Enable the voice activity detection (VAD) to filter out parts of the audio without speech",
-                include_in_schema=(True if CONFIG.ASR_ENGINE == "faster_whisper" else False),
-            ),
-        ] = False,
-        word_timestamps: bool = Query(default=False, description="Word level timestamps"),
-        output: Union[str, None] = Query(default="txt", enum=["txt", "vtt", "srt", "tsv", "json"]),
+    audio_file: UploadFile = File(...),  # noqa: B008
+    encode: bool = Query(default=True, description="Encode audio first through ffmpeg"),
+    task: Union[str, None] = Query(default="transcribe", enum=["transcribe", "translate"]),
+    language: Union[str, None] = Query(default=None, enum=LANGUAGE_CODES),
+    initial_prompt: Union[str, None] = Query(default=None),
+    vad_filter: Annotated[
+        bool | None,
+        Query(
+            description="Enable the voice activity detection (VAD) to filter out parts of the audio without speech",
+            include_in_schema=(True if CONFIG.ASR_ENGINE == "faster_whisper" else False),
+        ),
+    ] = False,
+    word_timestamps: bool = Query(
+        default=False,
+        description="Word level timestamps",
+        include_in_schema=(True if CONFIG.ASR_ENGINE == "faster_whisper" else False),
+    ),
+    diarize: bool = Query(
+        default=False,
+        description="Diarize the input",
+        include_in_schema=(True if CONFIG.ASR_ENGINE == "whisperx" and CONFIG.HF_TOKEN != "" else False),
+    ),
+    min_speakers: Union[int, None] = Query(
+        default=None,
+        description="Min speakers in this file",
+        include_in_schema=(True if CONFIG.ASR_ENGINE == "whisperx" else False),
+    ),
+    max_speakers: Union[int, None] = Query(
+        default=None,
+        description="Max speakers in this file",
+        include_in_schema=(True if CONFIG.ASR_ENGINE == "whisperx" else False),
+    ),
+    output: Union[str, None] = Query(default="txt", enum=["txt", "vtt", "srt", "tsv", "json"]),
 ):
     result = asr_model.transcribe(
-        load_audio(audio_file.file, encode), task, language, initial_prompt, vad_filter, word_timestamps, output
+        load_audio(audio_file.file, encode),
+        task,
+        language,
+        initial_prompt,
+        vad_filter,
+        word_timestamps,
+        {"diarize": diarize, "min_speakers": min_speakers, "max_speakers": max_speakers},
+        output,
     )
     return StreamingResponse(
         result,
@@ -86,12 +110,15 @@ async def asr(
 
 @app.post("/detect-language", tags=["Endpoints"])
 async def detect_language(
-        audio_file: UploadFile = File(...),  # noqa: B008
-        encode: bool = Query(default=True, description="Encode audio first through FFmpeg"),
+    audio_file: UploadFile = File(...),  # noqa: B008
+    encode: bool = Query(default=True, description="Encode audio first through FFmpeg"),
 ):
     detected_lang_code, confidence = asr_model.language_detection(load_audio(audio_file.file, encode))
-    return {"detected_language": tokenizer.LANGUAGES[detected_lang_code], "language_code": detected_lang_code,
-            "confidence": confidence}
+    return {
+        "detected_language": tokenizer.LANGUAGES[detected_lang_code],
+        "language_code": detected_lang_code,
+        "confidence": confidence,
+    }
 
 
 @click.command()
@@ -110,10 +137,7 @@ async def detect_language(
     help="Port for the webservice (default: 9000)",
 )
 @click.version_option(version=projectMetadata["Version"])
-def start(
-        host: str,
-        port: Optional[int] = None
-):
+def start(host: str, port: Optional[int] = None):
     uvicorn.run(app, host=host, port=port)
 
 
diff --git a/docker-compose.gpu.yml b/docker-compose.gpu.yml
index 82eb1c503378f968ee73fd3243d81657151d392b..a865ee56d48423aef26cf651d2192f49ae913db8 100644
--- a/docker-compose.gpu.yml
+++ b/docker-compose.gpu.yml
@@ -18,12 +18,7 @@ services:
       - "9000:9000"
     volumes:
       - ./app:/app/app
-      - cache-pip:/root/.cache/pip
-      - cache-poetry:/root/.cache/poetry
-      - cache-whisper:/root/.cache/whisper
+      - cache-whisper:/root/.cache
 
 volumes:
-  cache-pip:
-  cache-poetry:
   cache-whisper:
-  cache-faster-whisper:
diff --git a/docker-compose.yml b/docker-compose.yml
index fdf1addf8572c4892a80271b1d64e9d24d36d1c3..2fab6cbf04b893cf4c5af652f4382f85acc171a8 100644
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -11,12 +11,7 @@ services:
       - "9000:9000"
     volumes:
       - ./app:/app/app
-      - cache-pip:/root/.cache/pip
-      - cache-poetry:/root/.cache/poetry
-      - cache-whisper:/root/.cache/whisper
+      - cache-whisper:/root/.cache
 
 volumes:
-  cache-pip:
-  cache-poetry:
   cache-whisper:
-  cache-faster-whisper:
diff --git a/docs/.overrides/main.html b/docs/.overrides/main.html
index fec62393a7dea9561cbfbe0532ca0d4b4b457319..94d9808cc760156cb7ab46e326c0267f3406125e 100644
--- a/docs/.overrides/main.html
+++ b/docs/.overrides/main.html
@@ -1,12 +1 @@
 {% extends "base.html" %}
-
-{% block announce %}
-
-For updates follow <strong>@ahmetoner</strong> on
-<a rel="me" href="https://github.com/ahmetoner">
-    <span class="twemoji github">
-      {% include ".icons/fontawesome/brands/github.svg" %}
-    </span>
-    <strong>GitHub</strong>
-</a>
-{% endblock %}
\ No newline at end of file
diff --git a/docs/build.md b/docs/build.md
index 96fa96c6fa2b51dc94f348818c29b00f2a63357e..6f315aadaa1f5afb9c7c6ef0690e6e01fe8ffc93 100644
--- a/docs/build.md
+++ b/docs/build.md
@@ -2,65 +2,60 @@
 
 Install poetry with following command:
 
-```sh
+```shell
 pip3 install poetry
 ```
 
-Install torch with following command:
-
-```sh
-# just for GPU:
-pip3 install torch==1.13.1+cu117 -f https://download.pytorch.org/whl/torch
-```
-
-### Run
+### Installation
 
 Install packages:
 
-```sh
+```shell
 poetry install
 ```
 
+!!! Note
+    By default, this will install the CPU version of PyTorch. For GPU support, you'll need to install the appropriate CUDA version of PyTorch separately:
+    ```shell
+    # For CUDA support (example for CUDA 11.8):
+    pip3 install torch==2.6.0 --index-url https://download.pytorch.org/whl/cu121
+    ```
+
+### Run
+
 Starting the Webservice:
 
-```sh
+```shell
 poetry run whisper-asr-webservice --host 0.0.0.0 --port 9000
 ```
 
 ### Build
 
-=== ":octicons-file-code-16: `Poetry`"
-
-    Build .whl package
-    
-    ```sh
-    poetry build
-    ```
 === ":octicons-file-code-16: `Docker`"
 
     With `Dockerfile`:
 
     === ":octicons-file-code-16: `CPU`"
     
-        ```sh
+        ```shell
         # Build Image
         docker build -t whisper-asr-webservice .
         
         # Run Container
         docker run -d -p 9000:9000 whisper-asr-webservice
-        # or
-        docker run -d -p 9001:9000 -e ASR_MODEL=base whisper-asr-webservice3
+        # or with specific model
+        docker run -d -p 9000:9000 -e ASR_MODEL=base whisper-asr-webservice
         ```
     
     === ":octicons-file-code-16: `GPU`"
     
-        ```sh
+        ```shell
         # Build Image
         docker build -f Dockerfile.gpu -t whisper-asr-webservice-gpu .
         
         # Run Container
         docker run -d --gpus all -p 9000:9000 whisper-asr-webservice-gpu
-        # or
+        # or with specific model
         docker run -d --gpus all -p 9000:9000 -e ASR_MODEL=base whisper-asr-webservice-gpu
         ```
 
@@ -68,12 +63,19 @@ poetry run whisper-asr-webservice --host 0.0.0.0 --port 9000
     
     === ":octicons-file-code-16: `CPU`"
     
-        ```sh
+        ```shell
         docker-compose up --build
         ```
     
     === ":octicons-file-code-16: `GPU`"
     
-        ```sh
-        docker-compose up --build -f docker-compose.gpu.yml
+        ```shell
+        docker-compose -f docker-compose.gpu.yml up --build
         ```
+=== ":octicons-file-code-16: `Poetry`"
+
+    Build .whl package
+    
+    ```shell
+    poetry build
+    ```
\ No newline at end of file
diff --git a/docs/endpoints.md b/docs/endpoints.md
index 8446abb98074983a868997a48bc520e6ed7e312c..e62f723bd413bf161821826007371bf9c06b85d7 100644
--- a/docs/endpoints.md
+++ b/docs/endpoints.md
@@ -19,14 +19,18 @@ There are 2 endpoints available:
 
 ### Request URL Query Params
 
-| Name            | Values                                         |
-|-----------------|------------------------------------------------|
-| audio_file      | File                                           |
-| output          | `text` (default), `json`, `vtt`, `srt`, `tsv` |
-| task            | `transcribe`, `translate`                      |
-| language        | `en` (default is auto recognition)             |
-| word_timestamps | false (default)                                |
-| encode          | true (default)                                 |
+| Name            | Values                                         | Description                                                    |
+|-----------------|------------------------------------------------|----------------------------------------------------------------|
+| audio_file      | File                                           | Audio or video file to transcribe                              |
+| output          | `text` (default), `json`, `vtt`, `srt`, `tsv` | Output format                                                  |
+| task            | `transcribe`, `translate`                      | Task type - transcribe in source language or translate to English |
+| language        | `en` (default is auto recognition)             | Source language code (see supported languages)                 |
+| word_timestamps | false (default)                                | Enable word-level timestamps (Faster Whisper only)             |
+| vad_filter      | false (default)                                | Enable voice activity detection filtering (Faster Whisper only) |
+| encode          | true (default)                                 | Encode audio through FFmpeg before processing                  |
+| diarize         | false (default)                                | Enable speaker diarization (WhisperX only)                     |
+| min_speakers    | null (default)                                 | Minimum number of speakers for diarization (WhisperX only)     |
+| max_speakers    | null (default)                                 | Maximum number of speakers for diarization (WhisperX only)     |
 
 Example request with cURL
 
@@ -40,11 +44,57 @@ curl -X POST -H "content-type: multipart/form-data" -F "audio_file=@/path/to/fil
 - **segments**: Contains an entry per segment. Each entry provides `timestamps`, `transcript`, `token ids`, `word level timestamps` and other metadata
 - **language**: Detected or provided language (as a language code)
 
+### Response Formats
+
+The API supports multiple output formats:
+
+- **text**: Plain text transcript (default)
+- **json**: Detailed JSON with segments, timestamps, and metadata
+- **vtt**: WebVTT subtitle format
+- **srt**: SubRip subtitle format  
+- **tsv**: Tab-separated values with timestamps
+
+### Supported Languages
+
+The service supports all languages supported by Whisper. Some common language codes:
+
+- Turkish (tr)
+- English (en)
+- Spanish (es)
+- French (fr)
+- German (de)
+- Italian (it)
+- Portuguese (pt)
+- And many more...
+
+See the [Whisper documentation](https://github.com/openai/whisper#available-models-and-languages) for the full list of supported languages.
+
+### Speaker Diarization
+
+When using the WhisperX engine with diarization enabled (`diarize=true`), the output will include speaker labels for each segment. This requires:
+
+1. WhisperX engine to be configured
+2. Valid Hugging Face token set in HF_TOKEN
+3. Sufficient memory for diarization models
+
+You can optionally specify `min_speakers` and `max_speakers` if you know the expected number of speakers.
+
 ## Language detection service /detect-language
 
 Detects the language spoken in the uploaded file. Only processes first 30 seconds.
 
 Returns a json with following fields:
 
-- **detected_language**: "english"
-- **language_code**: "en"
+- **detected_language**: Human readable language name (e.g. "english")
+- **language_code**: ISO language code (e.g. "en")
+- **confidence**: Confidence score between 0 and 1 indicating detection reliability
+
+Example response:
+
+```json
+{
+    "detected_language": "english",
+    "language_code": "en",
+    "confidence": 0.98
+}
+```
diff --git a/docs/environmental-variables.md b/docs/environmental-variables.md
index d786927b8f861b806517443e7110eae85f7e7e33..70d9f3d8961145142891260bd89ee21d9220a703 100644
--- a/docs/environmental-variables.md
+++ b/docs/environmental-variables.md
@@ -1,34 +1,49 @@
 ### Configuring the `Engine`
 
 === ":octicons-file-code-16: `openai_whisper`"
-```sh
-export ASR_ENGINE=openai_whisper
-```
+
+    ```shell
+    export ASR_ENGINE=openai_whisper
+    ```
+
 === ":octicons-file-code-16: `faster_whisper`"
-```sh
-export ASR_ENGINE=faster_whisper
-```
+
+    ```shell
+    export ASR_ENGINE=faster_whisper
+    ```
+
+=== ":octicons-file-code-16: `whisperx`"
+
+    ```shell
+    export ASR_ENGINE=whisperx
+    ```
 
 ### Configuring the `Model`
 
-```sh
+```shell
 export ASR_MODEL=base
 ```
 
-Available ASR_MODELs are `tiny`, `base`, `small`, `medium`, `large`, `large-v1`, `large-v2`, `large-v3`, `turbo` and `large-v3-turbo`.
+Available ASR_MODELs are:
+
+- Standard models: `tiny`, `base`, `small`, `medium`, `large-v1`, `large-v2`, `large-v3` (or `large`), `large-v3-turbo` (or `turbo`)
+- English-optimized models: `tiny.en`, `base.en`, `small.en`, `medium.en`
+- Distilled models: `distil-large-v2`, `distil-medium.en`, `distil-small.en`, `distil-large-v3` (only for whisperx and faster-whisper)
 
 For English-only applications, the `.en` models tend to perform better, especially for the `tiny.en` and `base.en`
 models. We observed that the difference becomes less significant for the `small.en` and `medium.en` models.
 
+The distilled models offer improved inference speed while maintaining good accuracy.
+
 ### Configuring the `Model Path`
 
-```sh
+```shell
 export ASR_MODEL_PATH=/data/whisper
 ```
 
 ### Configuring the `Model Unloading Timeout`
 
-```sh
+```shell
 export MODEL_IDLE_TIMEOUT=300
 ```
 
@@ -37,10 +52,47 @@ Defaults to `0`. After no activity for this period (in seconds), unload the mode
 
 ### Configuring the `SAMPLE_RATE`
 
-```sh
+```shell
 export SAMPLE_RATE=16000
 ```
 
 Defaults to `16000`. Default sample rate for audio input. `16 kHz` is commonly used in `speech-to-text` tasks.
 
+### Configuring Device and Quantization
+
+```shell
+export ASR_DEVICE=cuda  # or 'cpu'
+export ASR_QUANTIZATION=float32  # or 'float16', 'int8'
+```
+
+The `ASR_DEVICE` defaults to `cuda` if GPU is available, otherwise `cpu`. 
+
+The `ASR_QUANTIZATION` defines the precision for model weights:
+
+- `float32`: 32-bit floating-point precision (higher precision, slower inference)
+- `float16`: 16-bit floating-point precision (lower precision, faster inference)
+- `int8`: 8-bit integer precision (lowest precision, fastest inference)
+
+Defaults to `float32` for GPU, `int8` for CPU.
+
+### Configuring Subtitle Options (WhisperX)
+
+```shell
+export SUBTITLE_MAX_LINE_WIDTH=1000
+export SUBTITLE_MAX_LINE_COUNT=2
+export SUBTITLE_HIGHLIGHT_WORDS=false
+```
+
+These options only apply when using the WhisperX engine:
+
+- `SUBTITLE_MAX_LINE_WIDTH`: Maximum width of subtitle lines (default: 1000)
+- `SUBTITLE_MAX_LINE_COUNT`: Maximum number of lines per subtitle (default: 2)
+- `SUBTITLE_HIGHLIGHT_WORDS`: Enable word highlighting in subtitles (default: false)
+
+### Hugging Face Token
+
+```shell
+export HF_TOKEN=your_token_here
+```
 
+Required when using the WhisperX engine to download the diarization model.
diff --git a/docs/index.md b/docs/index.md
index 45f40ecfb391404c8babceef91a7c9610cdba45d..a7d7cddc78be5337ad177350656600d82f88f275 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -6,18 +6,19 @@ Current release (v1.7.1) supports following whisper models:
 
 - [openai/whisper](https://github.com/openai/whisper)@[v20240930](https://github.com/openai/whisper/releases/tag/v20240930)
 - [SYSTRAN/faster-whisper](https://github.com/SYSTRAN/faster-whisper)@[v1.1.0](https://github.com/SYSTRAN/faster-whisper/releases/tag/v1.1.0)
+- [whisperX](https://github.com/m-bain/whisperX)@[v3.1.1](https://github.com/m-bain/whisperX/releases/tag/v3.1.1)
 
 ## Quick Usage
 
 === ":octicons-file-code-16: `CPU`"
 
-    ```sh
+    ```shell
     docker run -d -p 9000:9000 -e ASR_MODEL=base -e ASR_ENGINE=openai_whisper onerahmet/openai-whisper-asr-webservice:latest
     ```
 
 === ":octicons-file-code-16: `GPU`"
 
-    ```sh
+    ```shell
     docker run -d --gpus all -p 9000:9000 -e ASR_MODEL=base -e ASR_ENGINE=openai_whisper onerahmet/openai-whisper-asr-webservice:latest-gpu
     ```
 
diff --git a/docs/run.md b/docs/run.md
index 161168cc589c5737017e69c735accec373375e26..75db423d0b7b92bb4ad1ade3e0cd293845e3a715 100644
--- a/docs/run.md
+++ b/docs/run.md
@@ -6,9 +6,12 @@ Docker Hub: <https://hub.docker.com/r/onerahmet/openai-whisper-asr-webservice>
 
 === ":octicons-file-code-16: `CPU`"
 
-    ```sh
+    ```shell
     docker pull onerahmet/openai-whisper-asr-webservice:latest
-    docker run -d -p 9000:9000 -e ASR_MODEL=base -e ASR_ENGINE=openai_whisper onerahmet/openai-whisper-asr-webservice:latest
+    docker run -d -p 9000:9000 \
+      -e ASR_MODEL=base \
+      -e ASR_ENGINE=openai_whisper \
+      onerahmet/openai-whisper-asr-webservice:latest
     ```
 
 === ":octicons-file-code-16: `CPU (macOS)`"
@@ -17,38 +20,57 @@ Docker Hub: <https://hub.docker.com/r/onerahmet/openai-whisper-asr-webservice>
     > 
     > The `:latest` image tag provides both amd64 and arm64 architectures:
     
-    ```sh
+    ```shell
     docker pull onerahmet/openai-whisper-asr-webservice:latest
-    docker run -d -p 9000:9000 -e ASR_MODEL=base -e ASR_ENGINE=openai_whisper onerahmet/openai-whisper-asr-webservice:latest
+    docker run -d -p 9000:9000 \
+      -e ASR_MODEL=base \
+      -e ASR_ENGINE=openai_whisper \
+      onerahmet/openai-whisper-asr-webservice:latest
     ```
 
 === ":octicons-file-code-16: `GPU`"
 
-    ```sh
+    ```shell
     docker pull onerahmet/openai-whisper-asr-webservice:latest-gpu
-    docker run -d --gpus all -p 9000:9000 -e ASR_MODEL=base -e ASR_ENGINE=openai_whisper onerahmet/openai-whisper-asr-webservice:latest-gpu
+    docker run -d --gpus all -p 9000:9000 \
+      -e ASR_MODEL=base \
+      -e ASR_ENGINE=openai_whisper \
+      onerahmet/openai-whisper-asr-webservice:latest-gpu
     ```
 
+### Environment Variables
+
+The following environment variables can be used to configure the service:
+
+- `ASR_MODEL`: Whisper model to use (tiny, base, small, medium, large) [default: base]
+- `ASR_ENGINE`: ASR engine to use (openai_whisper, faster_whisper) [default: openai_whisper]
+- `ASR_MODEL_PATH`: Custom path to store/load model files [optional]
+
 > Interactive Swagger API documentation is available at <http://localhost:9000/docs>
 
 ![Swagger UI](assets/images/swagger-ui.png)
 
 ## Cache
 
-The ASR model is downloaded each time you start the container, using the large model this can take some time.
-If you want to decrease the time it takes to start your container by skipping the download, you can store the cache directory (`~/.cache/whisper` or `/root/.cache/whisper`) to a persistent storage.
-Next time you start your container the ASR Model will be taken from the cache instead of being downloaded again.
+The ASR model is downloaded each time you start the container. Using the large model can take significant time to download.
+To reduce container startup time by avoiding repeated downloads, you can persist the cache directory to local storage.
+The model will then be loaded from the cache instead of being downloaded again on subsequent container starts.
 
-**Important this will prevent you from receiving any updates to the models.**
+**Important: Using a persistent cache will prevent you from receiving model updates.**
 
 === ":octicons-file-code-16: `Default cache dir`"
 
-    ```sh
-    docker run -d -p 9000:9000 -v $PWD/yourlocaldir:/root/.cache/whisper onerahmet/openai-whisper-asr-webservice:latest
+    ```shell
+    docker run -d -p 9000:9000 \
+      -v $PWD/cache:/root/.cache \
+      onerahmet/openai-whisper-asr-webservice:latest
     ```
 
 === ":octicons-file-code-16: `With ASR_MODEL_PATH`"
 
-    ```sh
-    docker run -d -p 9000:9000 -e ASR_MODEL_PATH=/data/whisper -v $PWD/yourlocaldir:/data/whisper onerahmet/openai-whisper-asr-webservice:latest
+    ```shell
+    docker run -d -p 9000:9000 \
+      -e ASR_MODEL_PATH=/data/whisper \
+      -v $PWD/cache:/data/whisper \
+      onerahmet/openai-whisper-asr-webservice:latest
     ```
diff --git a/mkdocs.yml b/mkdocs.yml
index 5bcc8a1d651650d522c8ea6be33e4d54b056cd97..c14b4c2a32ee9a25a855a0887d96180fac1290dc 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -5,7 +5,7 @@ site_dir: public
 site_description: "OpenAI Whisper ASR Webservice API"
 repo_url: "https://github.com/ahmetoner/whisper-asr-webservice"
 repo_name: "ahmetoner/whisper-asr-webservice"
-copyright: Copyright &copy; 2023
+copyright: Copyright &copy; 2025
 edit_uri: edit/main/docs/
 
 validation:
@@ -14,14 +14,13 @@ validation:
   unrecognized_links: warn
 
 nav:
-  - Home:
-      - Whisper ASR Webservice: index.md
-      - Run: run.md
-      - Endpoints: endpoints.md
-      - Environmental Variables: environmental-variables.md
-      - Build: build.md
-      - Changelog: changelog.md
-      - Licence: licence.md
+  - Overview: index.md
+  - Installation & Usage: run.md
+  - API Endpoints: endpoints.md
+  - Configuration: environmental-variables.md
+  - Development: build.md
+  - Changelog: changelog.md
+  - License: licence.md
   - Releases: https://github.com/ahmetoner/whisper-asr-webservice/releases
   - Docker Hub: https://hub.docker.com/r/onerahmet/openai-whisper-asr-webservice
 
@@ -39,13 +38,38 @@ theme:
     - content.tooltips
     - navigation.footer
     - navigation.indexes
-    - navigation.sections
-    - navigation.tabs
-    - navigation.tabs.sticky
+    # - navigation.sections # important
     - navigation.top
+    # - navigation.tabs
+    # - navigation.tabs.sticky
     - search.highlight
     - search.suggest
     - toc.follow
+    - toc.integrate
+  palette:
+    # System preference
+    - media: "(prefers-color-scheme)"
+      toggle:
+        icon: material/brightness-auto
+        name: Switch to light mode
+    # Light mode
+    - media: "(prefers-color-scheme: light)"
+      scheme: default
+      primary: custom
+      accent: teal
+      toggle:
+        icon: material/brightness-7
+        name: Switch to dark mode
+    # Dark mode
+    - media: "(prefers-color-scheme: dark)"
+      scheme: slate
+      primary: black
+      accent: lime
+      toggle:
+        icon: material/brightness-4
+        name: Switch to system preference
+
+
 
 extra_css:
   - assets/css/extra.css
@@ -80,6 +104,7 @@ plugins:
   - search
 
 extra:
+  generator: false 
   social:
     - icon: fontawesome/brands/github
       link: https://github.com/ahmetoner
diff --git a/poetry.lock b/poetry.lock
index 2b4f5de337cf20c909f94cdf546b56d8cf497ecc..8455b866443f9f03684309367eb56627e171df5c 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,171 @@
-# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.1.1 and should not be changed by hand.
+
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+optional = false
+python-versions = ">=3.9"
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+]
+
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+version = "3.11.12"
+description = "Async http client/server framework (asyncio)"
+optional = false
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+]
+
+[package.dependencies]
+aiohappyeyeballs = ">=2.3.0"
+aiosignal = ">=1.1.2"
+async-timeout = {version = ">=4.0,<6.0", markers = "python_version < \"3.11\""}
+attrs = ">=17.3.0"
+frozenlist = ">=1.1.1"
+multidict = ">=4.5,<7.0"
+propcache = ">=0.2.0"
+yarl = ">=1.17.0,<2.0"
+
+[package.extras]
+speedups = ["Brotli ; platform_python_implementation == \"CPython\"", "aiodns (>=3.2.0) ; sys_platform == \"linux\" or sys_platform == \"darwin\"", "brotlicffi ; platform_python_implementation != \"CPython\""]
+
+[[package]]
+name = "aiosignal"
+version = "1.3.2"
+description = "aiosignal: a list of registered asynchronous callbacks"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
+files = [
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+    {file = "aiosignal-1.3.2.tar.gz", hash = "sha256:a8c255c66fafb1e499c9351d0bf32ff2d8a0321595ebac3b93713656d2436f54"},
+]
+
+[package.dependencies]
+frozenlist = ">=1.1.0"
+
+[[package]]
+name = "alembic"
+version = "1.14.1"
+description = "A database migration tool for SQLAlchemy."
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
+files = [
+    {file = "alembic-1.14.1-py3-none-any.whl", hash = "sha256:1acdd7a3a478e208b0503cd73614d5e4c6efafa4e73518bb60e4f2846a37b1c5"},
+    {file = "alembic-1.14.1.tar.gz", hash = "sha256:496e888245a53adf1498fcab31713a469c65836f8de76e01399aa1c3e90dd213"},
+]
+
+[package.dependencies]
+Mako = "*"
+SQLAlchemy = ">=1.3.0"
+typing-extensions = ">=4"
+
+[package.extras]
+tz = ["backports.zoneinfo ; python_version < \"3.9\"", "tzdata"]
+
+[[package]]
+name = "antlr4-python3-runtime"
+version = "4.9.3"
+description = "ANTLR 4.9.3 runtime for Python 3.7"
+optional = false
+python-versions = "*"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
+files = [
+    {file = "antlr4-python3-runtime-4.9.3.tar.gz", hash = "sha256:f224469b4168294902bb1efa80a8bf7855f24c99aef99cbefc1bcd3cce77881b"},
+]
 
 [[package]]
 name = "anyio"
@@ -6,6 +173,8 @@ version = "3.7.1"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
 files = [
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     {file = "anyio-3.7.1.tar.gz", hash = "sha256:44a3c9aba0f5defa43261a8b3efb97891f2bd7d804e0e1f56419befa1adfc780"},
@@ -18,15 +187,72 @@ sniffio = ">=1.1"
 
 [package.extras]
 doc = ["Sphinx", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme (>=1.2.2)", "sphinxcontrib-jquery"]
-test = ["anyio[trio]", "coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "mock (>=4)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
+test = ["anyio[trio]", "coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "mock (>=4) ; python_version < \"3.8\"", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17) ; python_version < \"3.12\" and platform_python_implementation == \"CPython\" and platform_system != \"Windows\""]
 trio = ["trio (<0.22)"]
 
+[[package]]
+name = "asteroid-filterbanks"
+version = "0.4.0"
+description = "Asteroid's filterbanks"
+optional = false
+python-versions = ">=3.6"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
+files = [
+    {file = "asteroid-filterbanks-0.4.0.tar.gz", hash = "sha256:415f89d1dcf2b13b35f03f7a9370968ac4e6fa6800633c522dac992b283409b9"},
+    {file = "asteroid_filterbanks-0.4.0-py3-none-any.whl", hash = "sha256:4932ac8b6acc6e08fb87cbe8ece84215b5a74eee284fe83acf3540a72a02eaf5"},
+]
+
+[package.dependencies]
+numpy = "*"
+torch = ">=1.8.0"
+typing-extensions = "*"
+
+[package.extras]
+all = ["librosa", "scipy"]
+
+[[package]]
+name = "async-timeout"
+version = "5.0.1"
+description = "Timeout context manager for asyncio programs"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version < \"3.11\" and platform_machine != \"arm64\" and platform_machine != \"x86_64\" or python_version < \"3.11\" and sys_platform != \"linux\" and sys_platform != \"darwin\" or python_version < \"3.11\" and sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\") or python_version < \"3.11\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") and (sys_platform == \"darwin\" or sys_platform == \"linux\")"
+files = [
+    {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"},
+    {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"},
+]
+
+[[package]]
+name = "attrs"
+version = "25.1.0"
+description = "Classes Without Boilerplate"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
+files = [
+    {file = "attrs-25.1.0-py3-none-any.whl", hash = "sha256:c75a69e28a550a7e93789579c22aa26b0f5b83b75dc4e08fe092980051e1090a"},
+    {file = "attrs-25.1.0.tar.gz", hash = "sha256:1c97078a80c814273a76b2a298a932eb681c87415c11dee0a6921de7f1b02c3e"},
+]
+
+[package.extras]
+benchmark = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
+cov = ["cloudpickle ; platform_python_implementation == \"CPython\"", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
+dev = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pre-commit-uv", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
+docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier (<24.7)"]
+tests = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
+tests-mypy = ["mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\""]
+
 [[package]]
 name = "av"
 version = "11.0.0"
 description = "Pythonic bindings for FFmpeg's libraries."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
 files = [
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@@ -76,75 +302,98 @@ files = [
 ]
 
 [[package]]
-name = "babel"
-version = "2.15.0"
-description = "Internationalization utilities"
+name = "certifi"
+version = "2022.12.7"
+description = "Python package for providing Mozilla's CA Bundle."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.6"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
 files = [
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-    {file = "babel-2.15.0.tar.gz", hash = "sha256:8daf0e265d05768bc6c7a314cf1321e9a123afc328cc635c18622a2f30a04413"},
+    {file = "certifi-2022.12.7-py3-none-any.whl", hash = "sha256:4ad3232f5e926d6718ec31cfc1fcadfde020920e278684144551c91769c7bc18"},
+    {file = "certifi-2022.12.7.tar.gz", hash = "sha256:35824b4c3a97115964b408844d64aa14db1cc518f6562e8d7261699d1350a9e3"},
 ]
 
-[package.extras]
-dev = ["freezegun (>=1.0,<2.0)", "pytest (>=6.0)", "pytest-cov"]
-
 [[package]]
-name = "black"
-version = "24.10.0"
-description = "The uncompromising code formatter."
+name = "cffi"
+version = "1.17.1"
+description = "Foreign Function Interface for Python calling C code."
 optional = false
-python-versions = ">=3.9"
+python-versions = ">=3.8"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
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 ]
 
 [package.dependencies]
-click = ">=8.0.0"
-mypy-extensions = ">=0.4.3"
-packaging = ">=22.0"
-pathspec = ">=0.9.0"
-platformdirs = ">=2"
-tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
-typing-extensions = {version = ">=4.0.1", markers = "python_version < \"3.11\""}
-
-[package.extras]
-colorama = ["colorama (>=0.4.3)"]
-d = ["aiohttp (>=3.10)"]
-jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"]
-uvloop = ["uvloop (>=0.15.2)"]
-
-[[package]]
-name = "certifi"
-version = "2022.12.7"
-description = "Python package for providing Mozilla's CA Bundle."
-optional = false
-python-versions = ">=3.6"
-files = [
-    {file = "certifi-2022.12.7-py3-none-any.whl", hash = "sha256:4ad3232f5e926d6718ec31cfc1fcadfde020920e278684144551c91769c7bc18"},
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-]
+pycparser = "*"
 
 [[package]]
 name = "charset-normalizer"
@@ -152,6 +401,8 @@ version = "3.1.0"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = false
 python-versions = ">=3.7.0"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
 files = [
     {file = "charset-normalizer-3.1.0.tar.gz", hash = "sha256:34e0a2f9c370eb95597aae63bf85eb5e96826d81e3dcf88b8886012906f509b5"},
     {file = "charset_normalizer-3.1.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e0ac8959c929593fee38da1c2b64ee9778733cdf03c482c9ff1d508b6b593b2b"},
@@ -236,6 +487,8 @@ version = "8.1.3"
 description = "Composable command line interface toolkit"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
 files = [
     {file = "click-8.1.3-py3-none-any.whl", hash = "sha256:bb4d8133cb15a609f44e8213d9b391b0809795062913b383c62be0ee95b1db48"},
     {file = "click-8.1.3.tar.gz", hash = "sha256:7682dc8afb30297001674575ea00d1814d808d6a36af415a82bd481d37ba7b8e"},
@@ -250,6 +503,8 @@ version = "0.4.6"
 description = "Cross-platform colored terminal text."
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
+groups = ["main"]
+markers = "platform_system == \"Windows\" and platform_machine != \"arm64\" and platform_machine != \"x86_64\" or platform_system == \"Windows\" and sys_platform != \"linux\" and sys_platform != \"darwin\" or platform_system == \"Windows\" and sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\") or platform_system == \"Windows\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") and (sys_platform == \"darwin\" or sys_platform == \"linux\") or sys_platform == \"win32\""
 files = [
     {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
     {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
@@ -261,6 +516,8 @@ version = "15.0.1"
 description = "Colored terminal output for Python's logging module"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
 files = [
     {file = "coloredlogs-15.0.1-py2.py3-none-any.whl", hash = "sha256:612ee75c546f53e92e70049c9dbfcc18c935a2b9a53b66085ce9ef6a6e5c0934"},
     {file = "coloredlogs-15.0.1.tar.gz", hash = "sha256:7c991aa71a4577af2f82600d8f8f3a89f936baeaf9b50a9c197da014e5bf16b0"},
@@ -272,12 +529,108 @@ humanfriendly = ">=9.1"
 [package.extras]
 cron = ["capturer (>=2.4)"]
 
+[[package]]
+name = "colorlog"
+version = "6.9.0"
+description = "Add colours to the output of Python's logging module."
+optional = false
+python-versions = ">=3.6"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
+files = [
+    {file = "colorlog-6.9.0-py3-none-any.whl", hash = "sha256:5906e71acd67cb07a71e779c47c4bcb45fb8c2993eebe9e5adcd6a6f1b283eff"},
+    {file = "colorlog-6.9.0.tar.gz", hash = "sha256:bfba54a1b93b94f54e1f4fe48395725a3d92fd2a4af702f6bd70946bdc0c6ac2"},
+]
+
+[package.dependencies]
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+[package.extras]
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+mypy = ["contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.11.1)", "types-Pillow"]
+test = ["Pillow", "contourpy[test-no-images]", "matplotlib"]
+test-no-images = ["pytest", "pytest-cov", "pytest-rerunfailures", "pytest-xdist", "wurlitzer"]
+
 [[package]]
 name = "ctranslate2"
 version = "4.1.0"
 description = "Fast inference engine for Transformer models"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
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@@ -311,12 +664,56 @@ numpy = "*"
 pyyaml = ">=5.3,<7"
 setuptools = "*"
 
+[[package]]
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+description = "Composable style cycles"
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+
+[[package]]
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+optional = false
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 [[package]]
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 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version < \"3.11\" and platform_machine != \"arm64\" and platform_machine != \"x86_64\" or python_version < \"3.11\" and sys_platform != \"linux\" and sys_platform != \"darwin\" or python_version < \"3.11\" and sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\") or python_version < \"3.11\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") and (sys_platform == \"darwin\" or sys_platform == \"linux\")"
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@@ -327,23 +724,25 @@ test = ["pytest (>=6)"]
 
 [[package]]
 name = "fastapi"
-version = "0.115.6"
+version = "0.115.8"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
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+groups = ["main"]
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+starlette = ">=0.40.0,<0.46.0"
 typing-extensions = ">=4.8.0"
 
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 name = "faster-whisper"
@@ -351,6 +750,8 @@ version = "1.1.0"
 description = "Faster Whisper transcription with CTranslate2"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
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@@ -374,6 +775,8 @@ version = "0.2.0"
 description = "Python bindings for FFmpeg - with complex filtering support"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
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@@ -391,6 +794,8 @@ version = "3.11.0"
 description = "A platform independent file lock."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
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@@ -406,37 +811,334 @@ version = "23.3.3"
 description = "The FlatBuffers serialization format for Python"
 optional = false
 python-versions = "*"
+groups = ["main"]
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 ]
 
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+test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard"]
+tqdm = ["tqdm"]
+
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 version = "0.18.3"
 description = "Clean single-source support for Python 3 and 2"
 optional = false
 python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
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 ]
 
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 ]
 
-[package.dependencies]
-python-dateutil = ">=2.8.1"
-
 [package.extras]
-dev = ["flake8", "markdown", "twine", "wheel"]
+docs = ["Sphinx", "furo"]
+test = ["objgraph", "psutil"]
 
 [[package]]
 name = "h11"
@@ -444,6 +1146,8 @@ version = "0.14.0"
 description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
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@@ -455,6 +1159,8 @@ version = "0.6.4"
 description = "A collection of framework independent HTTP protocol utils."
 optional = false
 python-versions = ">=3.8.0"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
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@@ -510,6 +1216,8 @@ version = "0.13.4"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.7.0"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
 files = [
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@@ -540,6 +1248,8 @@ version = "10.0"
 description = "Human friendly output for text interfaces using Python"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
 files = [
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     {file = "humanfriendly-10.0.tar.gz", hash = "sha256:6b0b831ce8f15f7300721aa49829fc4e83921a9a301cc7f606be6686a2288ddc"},
@@ -548,254 +1258,465 @@ files = [
 [package.dependencies]
 pyreadline3 = {version = "*", markers = "sys_platform == \"win32\" and python_version >= \"3.8\""}
 
+[[package]]
+name = "hyperpyyaml"
+version = "1.2.2"
+description = "Extensions to YAML syntax for better python interaction"
+optional = false
+python-versions = "*"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
+files = [
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+    {file = "HyperPyYAML-1.2.2.tar.gz", hash = "sha256:bdb734210d18770a262f500fe5755c7a44a5d3b91521b06e24f7a00a36ee0f87"},
+]
+
+[package.dependencies]
+pyyaml = ">=5.1"
+"ruamel.yaml" = ">=0.17.28"
+
 [[package]]
 name = "idna"
 version = "3.4"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
 python-versions = ">=3.5"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
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 ]
 
 [[package]]
-name = "iniconfig"
-version = "2.0.0"
-description = "brain-dead simple config-ini parsing"
+name = "jinja2"
+version = "3.1.5"
+description = "A very fast and expressive template engine."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
+files = [
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+]
+
+[package.dependencies]
+MarkupSafe = ">=2.0"
+
+[package.extras]
+i18n = ["Babel (>=2.7)"]
+
+[[package]]
+name = "joblib"
+version = "1.4.2"
+description = "Lightweight pipelining with Python functions"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
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 ]
 
 [[package]]
-name = "jinja2"
-version = "3.1.4"
-description = "A very fast and expressive template engine."
+name = "julius"
+version = "0.2.7"
+description = "Nice DSP sweets: resampling, FFT Convolutions. All with PyTorch, differentiable and with CUDA support."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.6.0"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
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 ]
 
 [package.dependencies]
-MarkupSafe = ">=2.0"
+torch = ">=1.7.0"
 
 [package.extras]
-i18n = ["Babel (>=2.7)"]
+dev = ["coverage", "flake8", "mypy", "onnxruntime", "pdoc3", "resampy (==0.2.2)"]
 
 [[package]]
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-description = "lightweight wrapper around basic LLVM functionality"
+name = "kiwisolver"
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 optional = false
-python-versions = ">=3.9"
+python-versions = ">=3.10"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
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-regex = ">=2022.4"
-requests = ">=2.26,<3.0"
+contourpy = ">=1.0.1"
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+fonttools = ">=4.22.0"
+kiwisolver = ">=1.3.1"
+numpy = ">=1.23"
+packaging = ">=20.0"
+pillow = ">=8"
+pyparsing = ">=2.3.1"
+python-dateutil = ">=2.7"
 
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 ]
 
 [[package]]
@@ -804,6 +1725,8 @@ version = "9.1.0"
 description = "More routines for operating on iterables, beyond itertools"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
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@@ -815,6 +1738,8 @@ version = "1.3.0"
 description = "Python library for arbitrary-precision floating-point arithmetic"
 optional = false
 python-versions = "*"
+groups = ["main"]
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 [package.extras]
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 docs = ["sphinx"]
-gmpy = ["gmpy2 (>=2.1.0a4)"]
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 tests = ["pytest (>=4.6)"]
 
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+description = "A flexible configuration library"
+optional = false
+python-versions = ">=3.6"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
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+[package.dependencies]
+antlr4-python3-runtime = "==4.9.*"
+PyYAML = ">=5.1.0"
+
 [[package]]
 name = "onnxruntime"
 version = "1.14.1"
 description = "ONNX Runtime is a runtime accelerator for Machine Learning models"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
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@@ -962,6 +2254,8 @@ version = "20240930"
 description = "Robust Speech Recognition via Large-Scale Weak Supervision"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
 files = [
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 ]
@@ -973,72 +2267,336 @@ numpy = "*"
 tiktoken = "*"
 torch = "*"
 tqdm = "*"
+triton = {version = ">=2.0.0", markers = "platform_machine == \"x86_64\" and sys_platform == \"linux\" or sys_platform == \"linux2\""}
 
 [package.extras]
 dev = ["black", "flake8", "isort", "pytest", "scipy"]
 
+[[package]]
+name = "optuna"
+version = "4.2.1"
+description = "A hyperparameter optimization framework"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
+files = [
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+    {file = "optuna-4.2.1.tar.gz", hash = "sha256:2ecd74cdc8aaf5dda1f2b9e267999bab21def9a33e0a4f415ecae0c468c401e0"},
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+
+[package.dependencies]
+alembic = ">=1.5.0"
+colorlog = "*"
+numpy = "*"
+packaging = ">=20.0"
+PyYAML = "*"
+sqlalchemy = ">=1.4.2"
+tqdm = "*"
+
+[package.extras]
+benchmark = ["asv (>=0.5.0)", "cma", "virtualenv"]
+checking = ["black", "blackdoc", "flake8", "isort", "mypy", "mypy_boto3_s3", "types-PyYAML", "types-redis", "types-setuptools", "types-tqdm", "typing_extensions (>=3.10.0.0)"]
+document = ["ase", "cmaes (>=0.10.0)", "fvcore", "kaleido (<0.4)", "lightgbm", "matplotlib (!=3.6.0)", "pandas", "pillow", "plotly (>=4.9.0)", "scikit-learn", "sphinx", "sphinx-copybutton", "sphinx-gallery", "sphinx-notfound-page", "sphinx_rtd_theme (>=1.2.0)", "torch", "torchvision"]
+optional = ["boto3", "cmaes (>=0.10.0)", "google-cloud-storage", "grpcio", "matplotlib (!=3.6.0)", "pandas", "plotly (>=4.9.0)", "protobuf (>=5.28.1)", "redis", "scikit-learn (>=0.24.2)", "scipy", "torch ; python_version <= \"3.12\""]
+test = ["coverage", "fakeredis[lua]", "grpcio", "kaleido (<0.4)", "moto", "protobuf (>=5.28.1)", "pytest", "scipy (>=1.9.2)", "torch ; python_version <= \"3.12\""]
+
 [[package]]
 name = "packaging"
 version = "23.1"
 description = "Core utilities for Python packages"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
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 ]
 
 [[package]]
-name = "paginate"
-version = "0.5.6"
-description = "Divides large result sets into pages for easier browsing"
+name = "pandas"
+version = "2.2.3"
+description = "Powerful data structures for data analysis, time series, and statistics"
 optional = false
-python-versions = "*"
+python-versions = ">=3.9"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
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 description = ""
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 python-versions = ">=3.7"
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@@ -1116,35 +2830,35 @@ email = ["email-validator (>=1.0.3)"]
 
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 python-versions = ">=3.8"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
 files = [
-    {file = "pygments-2.18.0-py3-none-any.whl", hash = "sha256:b8e6aca0523f3ab76fee51799c488e38782ac06eafcf95e7ba832985c8e7b13a"},
-    {file = "pygments-2.18.0.tar.gz", hash = "sha256:786ff802f32e91311bff3889f6e9a86e81505fe99f2735bb6d60ae0c5004f199"},
+    {file = "pygments-2.19.1-py3-none-any.whl", hash = "sha256:9ea1544ad55cecf4b8242fab6dd35a93bbce657034b0611ee383099054ab6d8c"},
+    {file = "pygments-2.19.1.tar.gz", hash = "sha256:61c16d2a8576dc0649d9f39e089b5f02bcd27fba10d8fb4dcc28173f7a45151f"},
 ]
 
 [package.extras]
 windows-terminal = ["colorama (>=0.4.6)"]
 
 [[package]]
-name = "pymdown-extensions"
-version = "10.12"
-description = "Extension pack for Python Markdown."
+name = "pyparsing"
+version = "3.2.1"
+description = "pyparsing module - Classes and methods to define and execute parsing grammars"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
 files = [
-    {file = "pymdown_extensions-10.12-py3-none-any.whl", hash = "sha256:49f81412242d3527b8b4967b990df395c89563043bc51a3d2d7d500e52123b77"},
-    {file = "pymdown_extensions-10.12.tar.gz", hash = "sha256:b0ee1e0b2bef1071a47891ab17003bfe5bf824a398e13f49f8ed653b699369a7"},
+    {file = "pyparsing-3.2.1-py3-none-any.whl", hash = "sha256:506ff4f4386c4cec0590ec19e6302d3aedb992fdc02c761e90416f158dacf8e1"},
+    {file = "pyparsing-3.2.1.tar.gz", hash = "sha256:61980854fd66de3a90028d679a954d5f2623e83144b5afe5ee86f43d762e5f0a"},
 ]
 
-[package.dependencies]
-markdown = ">=3.6"
-pyyaml = "*"
-
 [package.extras]
-extra = ["pygments (>=2.12)"]
+diagrams = ["jinja2", "railroad-diagrams"]
 
 [[package]]
 name = "pyreadline3"
@@ -1152,39 +2866,21 @@ version = "3.4.1"
 description = "A python implementation of GNU readline."
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "sys_platform == \"win32\""
 files = [
     {file = "pyreadline3-3.4.1-py3-none-any.whl", hash = "sha256:b0efb6516fd4fb07b45949053826a62fa4cb353db5be2bbb4a7aa1fdd1e345fb"},
     {file = "pyreadline3-3.4.1.tar.gz", hash = "sha256:6f3d1f7b8a31ba32b73917cefc1f28cc660562f39aea8646d30bd6eff21f7bae"},
 ]
 
-[[package]]
-name = "pytest"
-version = "8.3.4"
-description = "pytest: simple powerful testing with Python"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "pytest-8.3.4-py3-none-any.whl", hash = "sha256:50e16d954148559c9a74109af1eaf0c945ba2d8f30f0a3d3335edde19788b6f6"},
-    {file = "pytest-8.3.4.tar.gz", hash = "sha256:965370d062bce11e73868e0335abac31b4d3de0e82f4007408d242b4f8610761"},
-]
-
-[package.dependencies]
-colorama = {version = "*", markers = "sys_platform == \"win32\""}
-exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""}
-iniconfig = "*"
-packaging = "*"
-pluggy = ">=1.5,<2"
-tomli = {version = ">=1", markers = "python_version < \"3.11\""}
-
-[package.extras]
-dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
-
 [[package]]
 name = "python-dateutil"
 version = "2.9.0.post0"
 description = "Extensions to the standard Python datetime module"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
 files = [
     {file = "python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3"},
     {file = "python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427"},
@@ -1199,23 +2895,97 @@ version = "1.0.0"
 description = "Read key-value pairs from a .env file and set them as environment variables"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
 files = [
     {file = "python-dotenv-1.0.0.tar.gz", hash = "sha256:a8df96034aae6d2d50a4ebe8216326c61c3eb64836776504fcca410e5937a3ba"},
     {file = "python_dotenv-1.0.0-py3-none-any.whl", hash = "sha256:f5971a9226b701070a4bf2c38c89e5a3f0d64de8debda981d1db98583009122a"},
 ]
 
 [package.extras]
-cli = ["click (>=5.0)"]
+cli = ["click (>=5.0)"]
+
+[[package]]
+name = "python-multipart"
+version = "0.0.20"
+description = "A streaming multipart parser for Python"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
+files = [
+    {file = "python_multipart-0.0.20-py3-none-any.whl", hash = "sha256:8a62d3a8335e06589fe01f2a3e178cdcc632f3fbe0d492ad9ee0ec35aab1f104"},
+    {file = "python_multipart-0.0.20.tar.gz", hash = "sha256:8dd0cab45b8e23064ae09147625994d090fa46f5b0d1e13af944c331a7fa9d13"},
+]
+
+[[package]]
+name = "pytorch-lightning"
+version = "2.5.0.post0"
+description = "PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate."
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
+files = [
+    {file = "pytorch_lightning-2.5.0.post0-py3-none-any.whl", hash = "sha256:c86bf4fded58b386f312f75337696a9b2d57077b858b3b9524400a03a0179b3a"},
+    {file = "pytorch_lightning-2.5.0.post0.tar.gz", hash = "sha256:347235bf8573b4ebcf507a0dd755fcb9ce58c420c77220a9756a6edca0418532"},
+]
+
+[package.dependencies]
+fsspec = {version = ">=2022.5.0", extras = ["http"]}
+lightning-utilities = ">=0.10.0"
+packaging = ">=20.0"
+PyYAML = ">=5.4"
+torch = ">=2.1.0"
+torchmetrics = ">=0.7.0"
+tqdm = ">=4.57.0"
+typing-extensions = ">=4.4.0"
+
+[package.extras]
+all = ["bitsandbytes (>=0.42.0) ; sys_platform == \"darwin\"", "bitsandbytes (>=0.44.0) ; sys_platform == \"linux\" or sys_platform == \"win32\"", "deepspeed (>=0.8.2,<=0.9.3) ; platform_system != \"Windows\" and platform_system != \"Darwin\"", "hydra-core (>=1.2.0)", "ipython[all] (<8.15.0)", "jsonargparse[signatures] (>=4.27.7)", "lightning-utilities (>=0.8.0)", "matplotlib (>3.1)", "omegaconf (>=2.2.3)", "requests (<2.32.0)", "rich (>=12.3.0)", "tensorboardX (>=2.2)", "torchmetrics (>=0.10.0)", "torchvision (>=0.16.0)"]
+deepspeed = ["deepspeed (>=0.8.2,<=0.9.3) ; platform_system != \"Windows\" and platform_system != \"Darwin\""]
+dev = ["bitsandbytes (>=0.42.0) ; sys_platform == \"darwin\"", "bitsandbytes (>=0.44.0) ; sys_platform == \"linux\" or sys_platform == \"win32\"", "cloudpickle (>=1.3)", "coverage (==7.3.1)", "deepspeed (>=0.8.2,<=0.9.3) ; platform_system != \"Windows\" and platform_system != \"Darwin\"", "fastapi", "hydra-core (>=1.2.0)", "ipython[all] (<8.15.0)", "jsonargparse[signatures] (>=4.27.7)", "lightning-utilities (>=0.8.0)", "matplotlib (>3.1)", "numpy (>=1.17.2)", "omegaconf (>=2.2.3)", "onnx (>=1.12.0)", "onnxruntime (>=1.12.0)", "pandas (>1.0)", "psutil (<5.9.6)", "pytest (==7.4.0)", "pytest-cov (==4.1.0)", "pytest-random-order (==1.1.0)", "pytest-rerunfailures (==12.0)", "pytest-timeout (==2.1.0)", "requests (<2.32.0)", "rich (>=12.3.0)", "scikit-learn (>0.22.1)", "tensorboard (>=2.9.1)", "tensorboardX (>=2.2)", "torchmetrics (>=0.10.0)", "torchvision (>=0.16.0)", "uvicorn"]
+examples = ["ipython[all] (<8.15.0)", "lightning-utilities (>=0.8.0)", "requests (<2.32.0)", "torchmetrics (>=0.10.0)", "torchvision (>=0.16.0)"]
+extra = ["bitsandbytes (>=0.42.0) ; sys_platform == \"darwin\"", "bitsandbytes (>=0.44.0) ; sys_platform == \"linux\" or sys_platform == \"win32\"", "hydra-core (>=1.2.0)", "jsonargparse[signatures] (>=4.27.7)", "matplotlib (>3.1)", "omegaconf (>=2.2.3)", "rich (>=12.3.0)", "tensorboardX (>=2.2)"]
+strategies = ["deepspeed (>=0.8.2,<=0.9.3) ; platform_system != \"Windows\" and platform_system != \"Darwin\""]
+test = ["cloudpickle (>=1.3)", "coverage (==7.3.1)", "fastapi", "numpy (>=1.17.2)", "onnx (>=1.12.0)", "onnxruntime (>=1.12.0)", "pandas (>1.0)", "psutil (<5.9.6)", "pytest (==7.4.0)", "pytest-cov (==4.1.0)", "pytest-random-order (==1.1.0)", "pytest-rerunfailures (==12.0)", "pytest-timeout (==2.1.0)", "scikit-learn (>0.22.1)", "tensorboard (>=2.9.1)", "uvicorn"]
+
+[[package]]
+name = "pytorch-metric-learning"
+version = "2.8.1"
+description = "The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch."
+optional = false
+python-versions = ">=3.0"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
+files = [
+    {file = "pytorch-metric-learning-2.8.1.tar.gz", hash = "sha256:fcc4d3b4a805e5fce25fb2e67505c47ba6fea0563fc09c5655ea1f08d1e8ed93"},
+    {file = "pytorch_metric_learning-2.8.1-py3-none-any.whl", hash = "sha256:aba6da0508d29ee9661a67fbfee911cdf62e65fc07e404b167d82871ca7e3e88"},
+]
+
+[package.dependencies]
+numpy = "*"
+scikit-learn = "*"
+torch = ">=1.6.0"
+tqdm = "*"
+
+[package.extras]
+dev = ["black", "flake8", "isort", "nbqa"]
+docs = ["mkdocs-material"]
+with-hooks = ["faiss-gpu (>=1.6.3)", "record-keeper (>=0.9.32)", "tensorboard"]
+with-hooks-cpu = ["faiss-cpu (>=1.6.3)", "record-keeper (>=0.9.32)", "tensorboard"]
 
 [[package]]
-name = "python-multipart"
-version = "0.0.20"
-description = "A streaming multipart parser for Python"
+name = "pytz"
+version = "2025.1"
+description = "World timezone definitions, modern and historical"
 optional = false
-python-versions = ">=3.8"
+python-versions = "*"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
 files = [
-    {file = "python_multipart-0.0.20-py3-none-any.whl", hash = "sha256:8a62d3a8335e06589fe01f2a3e178cdcc632f3fbe0d492ad9ee0ec35aab1f104"},
-    {file = "python_multipart-0.0.20.tar.gz", hash = "sha256:8dd0cab45b8e23064ae09147625994d090fa46f5b0d1e13af944c331a7fa9d13"},
+    {file = "pytz-2025.1-py2.py3-none-any.whl", hash = "sha256:89dd22dca55b46eac6eda23b2d72721bf1bdfef212645d81513ef5d03038de57"},
+    {file = "pytz-2025.1.tar.gz", hash = "sha256:c2db42be2a2518b28e65f9207c4d05e6ff547d1efa4086469ef855e4ab70178e"},
 ]
 
 [[package]]
@@ -1224,6 +2994,8 @@ version = "6.0"
 description = "YAML parser and emitter for Python"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
 files = [
     {file = "PyYAML-6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d4db7c7aef085872ef65a8fd7d6d09a14ae91f691dec3e87ee5ee0539d516f53"},
     {file = "PyYAML-6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9df7ed3b3d2e0ecfe09e14741b857df43adb5a3ddadc919a2d94fbdf78fea53c"},
@@ -1267,26 +3039,14 @@ files = [
     {file = "PyYAML-6.0.tar.gz", hash = "sha256:68fb519c14306fec9720a2a5b45bc9f0c8d1b9c72adf45c37baedfcd949c35a2"},
 ]
 
-[[package]]
-name = "pyyaml-env-tag"
-version = "0.1"
-description = "A custom YAML tag for referencing environment variables in YAML files. "
-optional = false
-python-versions = ">=3.6"
-files = [
-    {file = "pyyaml_env_tag-0.1-py3-none-any.whl", hash = "sha256:af31106dec8a4d68c60207c1886031cbf839b68aa7abccdb19868200532c2069"},
-    {file = "pyyaml_env_tag-0.1.tar.gz", hash = "sha256:70092675bda14fdec33b31ba77e7543de9ddc88f2e5b99160396572d11525bdb"},
-]
-
-[package.dependencies]
-pyyaml = "*"
-
 [[package]]
 name = "regex"
 version = "2023.3.23"
 description = "Alternative regular expression module, to replace re."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
 files = [
     {file = "regex-2023.3.23-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:845a5e2d84389c4ddada1a9b95c055320070f18bb76512608374aca00d22eca8"},
     {file = "regex-2023.3.23-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:87d9951f5a538dd1d016bdc0dcae59241d15fa94860964833a54d18197fcd134"},
@@ -1356,6 +3116,8 @@ version = "2.28.2"
 description = "Python HTTP for Humans."
 optional = false
 python-versions = ">=3.7, <4"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
 files = [
     {file = "requests-2.28.2-py3-none-any.whl", hash = "sha256:64299f4909223da747622c030b781c0d7811e359c37124b4bd368fb8c6518baa"},
     {file = "requests-2.28.2.tar.gz", hash = "sha256:98b1b2782e3c6c4904938b84c0eb932721069dfdb9134313beff7c83c2df24bf"},
@@ -1372,30 +3134,293 @@ socks = ["PySocks (>=1.5.6,!=1.5.7)"]
 use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
 [[package]]
-name = "ruff"
-version = "0.8.3"
-description = "An extremely fast Python linter and code formatter, written in Rust."
+name = "rich"
+version = "13.9.4"
+description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
+optional = false
+python-versions = ">=3.8.0"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
+files = [
+    {file = "rich-13.9.4-py3-none-any.whl", hash = "sha256:6049d5e6ec054bf2779ab3358186963bac2ea89175919d699e378b99738c2a90"},
+    {file = "rich-13.9.4.tar.gz", hash = "sha256:439594978a49a09530cff7ebc4b5c7103ef57baf48d5ea3184f21d9a2befa098"},
+]
+
+[package.dependencies]
+markdown-it-py = ">=2.2.0"
+pygments = ">=2.13.0,<3.0.0"
+typing-extensions = {version = ">=4.0.0,<5.0", markers = "python_version < \"3.11\""}
+
+[package.extras]
+jupyter = ["ipywidgets (>=7.5.1,<9)"]
+
+[[package]]
+name = "ruamel-yaml"
+version = "0.18.10"
+description = "ruamel.yaml is a YAML parser/emitter that supports roundtrip preservation of comments, seq/map flow style, and map key order"
+optional = false
+python-versions = ">=3.7"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
+files = [
+    {file = "ruamel.yaml-0.18.10-py3-none-any.whl", hash = "sha256:30f22513ab2301b3d2b577adc121c6471f28734d3d9728581245f1e76468b4f1"},
+    {file = "ruamel.yaml-0.18.10.tar.gz", hash = "sha256:20c86ab29ac2153f80a428e1254a8adf686d3383df04490514ca3b79a362db58"},
+]
+
+[package.dependencies]
+"ruamel.yaml.clib" = {version = ">=0.2.7", markers = "platform_python_implementation == \"CPython\" and python_version < \"3.13\""}
+
+[package.extras]
+docs = ["mercurial (>5.7)", "ryd"]
+jinja2 = ["ruamel.yaml.jinja2 (>=0.2)"]
+
+[[package]]
+name = "ruamel-yaml-clib"
+version = "0.2.12"
+description = "C version of reader, parser and emitter for ruamel.yaml derived from libyaml"
+optional = false
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 python-versions = ">=3.8"
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+aioodbc = ["aioodbc", "greenlet (!=0.4.17)"]
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+mysql = ["mysqlclient (>=1.4.0)"]
+mysql-connector = ["mysql-connector-python"]
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+postgresql-psycopg = ["psycopg (>=3.0.7)"]
+postgresql-psycopg2binary = ["psycopg2-binary"]
+postgresql-psycopg2cffi = ["psycopg2cffi"]
+postgresql-psycopgbinary = ["psycopg[binary] (>=3.0.7)"]
+pymysql = ["pymysql"]
+sqlcipher = ["sqlcipher3_binary"]
+
 [[package]]
 name = "starlette"
 version = "0.41.3"
 description = "The little ASGI library that shines."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
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@@ -1455,17 +3659,69 @@ full = ["httpx (>=0.22.0)", "itsdangerous", "jinja2", "python-multipart (>=0.0.7
 
 [[package]]
 name = "sympy"
-version = "1.11.1"
+version = "1.13.1"
 description = "Computer algebra system (CAS) in Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
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+]
+
+[package.dependencies]
+mpmath = ">=1.1.0,<1.4"
+
+[package.extras]
+dev = ["hypothesis (>=6.70.0)", "pytest (>=7.1.0)"]
+
+[[package]]
+name = "tabulate"
+version = "0.9.0"
+description = "Pretty-print tabular data"
+optional = false
+python-versions = ">=3.7"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
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+[package.extras]
+widechars = ["wcwidth"]
+
+[[package]]
+name = "tensorboardx"
+version = "2.6.2.2"
+description = "TensorBoardX lets you watch Tensors Flow without Tensorflow"
+optional = false
+python-versions = "*"
+groups = ["main"]
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 [package.dependencies]
-mpmath = ">=0.19"
+numpy = "*"
+packaging = "*"
+protobuf = ">=3.20"
+
+[[package]]
+name = "threadpoolctl"
+version = "3.5.0"
+description = "threadpoolctl"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
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+]
 
 [[package]]
 name = "tiktoken"
@@ -1473,6 +3729,8 @@ version = "0.3.3"
 description = "tiktoken is a fast BPE tokeniser for use with OpenAI's models"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
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@@ -1518,6 +3776,8 @@ version = "0.13.3"
 description = "Fast and Customizable Tokenizers"
 optional = false
 python-versions = "*"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
 files = [
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@@ -1566,116 +3826,240 @@ dev = ["black (==22.3)", "datasets", "numpy", "pytest", "requests"]
 docs = ["setuptools-rust", "sphinx", "sphinx-rtd-theme"]
 testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests"]
 
-[[package]]
-name = "tomli"
-version = "2.0.1"
-description = "A lil' TOML parser"
-optional = false
-python-versions = ">=3.7"
-files = [
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-]
-
 [[package]]
 name = "torch"
-version = "1.13.1"
+version = "2.6.0"
 description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
 optional = false
-python-versions = ">=3.7.0"
+python-versions = ">=3.9.0"
+groups = ["main"]
+markers = "platform_machine == \"arm64\" and (sys_platform == \"darwin\" or sys_platform == \"linux\") or sys_platform == \"darwin\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\")"
 files = [
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 ]
 
 [package.dependencies]
-typing-extensions = "*"
+filelock = "*"
+fsspec = "*"
+jinja2 = "*"
+networkx = "*"
+nvidia-cublas-cu12 = {version = "12.4.5.8", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cuda-cupti-cu12 = {version = "12.4.127", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cuda-nvrtc-cu12 = {version = "12.4.127", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cuda-runtime-cu12 = {version = "12.4.127", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cudnn-cu12 = {version = "9.1.0.70", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cufft-cu12 = {version = "11.2.1.3", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-curand-cu12 = {version = "10.3.5.147", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cusolver-cu12 = {version = "11.6.1.9", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cusparse-cu12 = {version = "12.3.1.170", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
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+nvidia-nvtx-cu12 = {version = "12.4.127", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
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 [package.source]
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-url = "https://download.pytorch.org/whl/cpu/torch-1.13.1-cp310-none-macosx_10_9_x86_64.whl"
+url = "https://download.pytorch.org/whl/cpu/torch-2.6.0-cp310-none-macosx_11_0_arm64.whl"
 
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-version = "1.13.1"
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-python-versions = ">=3.7.0"
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 [package.dependencies]
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 [package.extras]
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+url = "https://download.pytorch.org/whl/cpu/torch-2.6.0%2Bcpu-cp310-cp310-linux_x86_64.whl"
 
 [[package]]
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-version = "1.13.1"
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 [package.dependencies]
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 [package.extras]
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 [package.source]
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+url = "https://download.pytorch.org/whl/cpu/torch-2.6.0%2Bcpu-cp310-cp310-manylinux_2_28_aarch64.whl"
 
 [[package]]
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+version = "2.6.0+cpu"
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 [package.dependencies]
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 [package.extras]
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+url = "https://download.pytorch.org/whl/cpu/torch-2.6.0%2Bcpu-cp310-cp310-win_amd64.whl"
 
 [[package]]
-name = "torch"
-version = "1.13.1+cpu"
-description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
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 [package.extras]
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-[package.source]
-type = "url"
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+
+[[package]]
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+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
+files = [
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+
+[package.extras]
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+detection = ["pycocotools (>2.0.0)", "torchvision (>=0.15.1)"]
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+image = ["scipy (>1.0.0)", "torch-fidelity (<=0.4.0)", "torchvision (>=0.15.1)"]
+multimodal = ["piq (<=0.8.0)", "transformers (>=4.42.3)"]
+text = ["ipadic (>=1.0.0)", "mecab-python3 (>=1.0.6)", "nltk (>3.8.1)", "regex (>=2021.9.24)", "sentencepiece (>=0.2.0)", "tqdm (<4.68.0)", "transformers (>4.4.0)"]
+typing = ["mypy (==1.14.0)", "torch (==2.5.1)", "types-PyYAML", "types-emoji", "types-protobuf", "types-requests", "types-setuptools", "types-six", "types-tabulate"]
+visual = ["SciencePlots (>=2.0.0)", "matplotlib (>=3.6.0)"]
 
 [[package]]
 name = "tqdm"
@@ -1683,6 +4067,8 @@ version = "4.67.1"
 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
 files = [
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@@ -1698,15 +4084,139 @@ notebook = ["ipywidgets (>=6)"]
 slack = ["slack-sdk"]
 telegram = ["requests"]
 
+[[package]]
+name = "transformers"
+version = "4.29.0"
+description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
+optional = false
+python-versions = ">=3.7.0"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
+files = [
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+    {file = "transformers-4.29.0.tar.gz", hash = "sha256:b5dff9ce3708dc6639d892435fa69c51dee5c89870f888fa59ef0fc3baa3d8c7"},
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+
+[package.dependencies]
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+packaging = ">=20.0"
+pyyaml = ">=5.1"
+regex = "!=2019.12.17"
+requests = "*"
+tokenizers = ">=0.11.1,<0.11.3 || >0.11.3,<0.14"
+tqdm = ">=4.27"
+
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+python-versions = ">=2"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
 files = [
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 [[package]]
@@ -1715,14 +4225,16 @@ version = "1.26.15"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
 files = [
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-secure = ["certifi", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "ipaddress", "pyOpenSSL (>=0.14)", "urllib3-secure-extra"]
+brotli = ["brotli (>=1.0.9) ; (os_name != \"nt\" or python_version >= \"3\") and platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; (os_name != \"nt\" or python_version >= \"3\") and platform_python_implementation != \"CPython\"", "brotlipy (>=0.6.0) ; os_name == \"nt\" and python_version < \"3\""]
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 socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
 
 [[package]]
@@ -1731,6 +4243,8 @@ version = "0.34.0"
 description = "The lightning-fast ASGI server."
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
+markers = "platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\" or (sys_platform == \"darwin\" or sys_platform == \"linux\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") or sys_platform == \"linux\" and (platform_machine == \"arm64\" or platform_machine == \"x86_64\" or platform_machine == \"aarch64\")"
 files = [
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@@ -1744,12 +4258,12 @@ httptools = {version = ">=0.6.3", optional = true, markers = "extra == \"standar
 python-dotenv = {version = ">=0.13", optional = true, markers = "extra == \"standard\""}
 pyyaml = {version = ">=5.1", optional = true, markers = "extra == \"standard\""}
 typing-extensions = {version = ">=4.0", markers = "python_version < \"3.11\""}
-uvloop = {version = ">=0.14.0,<0.15.0 || >0.15.0,<0.15.1 || >0.15.1", optional = true, markers = "(sys_platform != \"win32\" and sys_platform != \"cygwin\") and platform_python_implementation != \"PyPy\" and extra == \"standard\""}
+uvloop = {version = ">=0.14.0,<0.15.0 || >0.15.0,<0.15.1 || >0.15.1", optional = true, markers = "sys_platform != \"win32\" and sys_platform != \"cygwin\" and platform_python_implementation != \"PyPy\" and extra == \"standard\""}
 watchfiles = {version = ">=0.13", optional = true, markers = "extra == \"standard\""}
 websockets = {version = ">=10.4", optional = true, markers = "extra == \"standard\""}
 
 [package.extras]
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 [[package]]
 name = "uvloop"
@@ -1757,6 +4271,8 @@ version = "0.17.0"
 description = "Fast implementation of asyncio event loop on top of libuv"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "(platform_machine == \"arm64\" or sys_platform == \"darwin\") and (platform_machine == \"arm64\" or platform_machine == \"x86_64\") and platform_python_implementation != \"PyPy\" and (sys_platform == \"darwin\" or sys_platform == \"linux\") or (sys_platform != \"linux\" or platform_machine != \"arm64\" and platform_machine != \"aarch64\" and platform_machine != \"x86_64\") and (platform_machine != \"arm64\" and platform_machine != \"x86_64\" or sys_platform != \"linux\" and sys_platform != \"darwin\") and (sys_platform != \"win\" or platform_machine != \"amd64\") and sys_platform != \"win32\" and sys_platform != \"cygwin\" and platform_python_implementation != \"PyPy\" or sys_platform == \"linux\" and platform_python_implementation != \"PyPy\" and (platform_machine == \"aarch64\" or platform_machine == \"x86_64\") or sys_platform == \"win\" and platform_machine == \"amd64\" and platform_python_implementation != \"PyPy\""
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+    {file = "yarl-1.18.3-py3-none-any.whl", hash = "sha256:b57f4f58099328dfb26c6a771d09fb20dbbae81d20cfb66141251ea063bd101b"},
+    {file = "yarl-1.18.3.tar.gz", hash = "sha256:ac1801c45cbf77b6c99242eeff4fffb5e4e73a800b5c4ad4fc0be5def634d2e1"},
+]
+
+[package.dependencies]
+idna = ">=2.0"
+multidict = ">=4.0"
+propcache = ">=0.2.0"
+
 [metadata]
-lock-version = "2.0"
-python-versions = "^3.10"
-content-hash = "ecee871583f0f6a382aa54e3d56027ca899b86784b1ba5a119930f52a3beb7c3"
+lock-version = "2.1"
+python-versions = "<3.13,>=3.10"
+content-hash = "b183ceab703bbdc385619eb96470e22ebb936fb81c66fda728c60ba460760a37"
diff --git a/pyproject.toml b/pyproject.toml
index d97aed2b3b0eb2daf805a11133f2e89391cd5301..c32fbd92aa6c9c61e39829734cd44d509ac1299f 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -17,32 +17,33 @@ url = "https://download.pytorch.org/whl/cpu"
 priority = "explicit"
 
 [tool.poetry.dependencies]
-python = "^3.10"
+python = "<3.13,>=3.10"
+fastapi = "^0.115.8"
 uvicorn = { extras = ["standard"], version = "^0.34.0" }
-tqdm = "^4.67.1"
 python-multipart = "^0.0.20"
 ffmpeg-python = "^0.2.0"
-fastapi = "^0.115.6"
-llvmlite = "^0.43.0"
-numba = "^0.60.0"
+numpy = "<2.0.0"
 openai-whisper = "^20240930"
 faster-whisper = "^1.1.0"
+whisperx = "^3.3.1"
+tqdm = "^4.67.1"
+llvmlite = "^0.44.0"
+numba = "^0.61.0"
 torch = [
-  { markers = "sys_platform == 'darwin' and platform_machine == 'arm64'", url = "https://download.pytorch.org/whl/cpu/torch-1.13.1-cp310-none-macosx_11_0_arm64.whl" },
-  { markers = "sys_platform == 'linux' and platform_machine == 'arm64'", url = "https://download.pytorch.org/whl/cpu/torch-1.13.1-cp310-none-macosx_11_0_arm64.whl" },
-  { markers = "sys_platform == 'darwin' and platform_machine == 'x86_64'", url = "https://download.pytorch.org/whl/cpu/torch-1.13.1-cp310-none-macosx_10_9_x86_64.whl" },
-  { markers = "sys_platform == 'linux' and platform_machine == 'aarch64'", url = "https://download.pytorch.org/whl/torch-1.13.1-cp310-cp310-manylinux2014_aarch64.whl" },
-  { markers = "sys_platform == 'linux' and platform_machine == 'x86_64'", url = "https://download.pytorch.org/whl/cpu/torch-1.13.1%2Bcpu-cp310-cp310-linux_x86_64.whl" },
-  { markers = "sys_platform == 'win' and platform_machine == 'amd64'", url = "https://download.pytorch.org/whl/cpu/torch-1.13.1%2Bcpu-cp310-cp310-win_amd64.whl" },
+  { markers = "sys_platform == 'darwin' and platform_machine == 'arm64'", url = "https://download.pytorch.org/whl/cpu/torch-2.6.0-cp310-none-macosx_11_0_arm64.whl" },
+  { markers = "sys_platform == 'linux' and platform_machine == 'arm64'", url = "https://download.pytorch.org/whl/cpu/torch-2.6.0-cp310-none-macosx_11_0_arm64.whl" },
+  { markers = "sys_platform == 'darwin' and platform_machine == 'x86_64'", url = "https://download.pytorch.org/whl/cpu/torch-2.6.0-cp310-none-macosx_11_0_arm64.whl" },
+  { markers = "sys_platform == 'linux' and platform_machine == 'aarch64'", url = "https://download.pytorch.org/whl/cpu/torch-2.6.0%2Bcpu-cp310-cp310-manylinux_2_28_aarch64.whl" },
+  { markers = "sys_platform == 'linux' and platform_machine == 'x86_64'", url = "https://download.pytorch.org/whl/cpu/torch-2.6.0%2Bcpu-cp310-cp310-linux_x86_64.whl" },
+  { markers = "sys_platform == 'win' and platform_machine == 'amd64'", url = "https://download.pytorch.org/whl/cpu/torch-2.6.0%2Bcpu-cp310-cp310-win_amd64.whl" },
 ]
 
-[tool.poetry.dev-dependencies]
+[poetry.group.dev.dependencies]
 pytest = "^8.3.4"
-ruff = "^0.8.3"
-black = "^24.10.0"
-mkdocs = "^1.6.1"
-mkdocs-material = "^9.5.49"
-pymdown-extensions = "^10.12"
+ruff = "^0.9.6"
+black = "^25.1.0"
+mkdocs-material = "^9.6.4"
+pymdown-extensions = "^10.14.3"
 
 [build-system]
 requires = ["poetry-core>=1.0.0"]
@@ -53,21 +54,20 @@ skip-string-normalization = true
 line-length = 120
 
 [tool.ruff]
-# Same as Black.
 line-length = 120
 
 [tool.ruff.lint]
 select = [
-  "E", # pycodestyle errors (settings from FastAPI, thanks, @tiangolo!)
-  "W", # pycodestyle warnings
-  "F", # pyflakes
-  "I", # isort
-  "C", # flake8-comprehensions
-  "B", # flake8-bugbear
+    "E",  # pycodestyle errors
+    "W",  # pycodestyle warnings
+    "F",  # pyflakes
+    "I",  # isort
+    "C",  # flake8-comprehensions
+    "B",  # flake8-bugbear
 ]
 ignore = [
-  "E501", # line too long, handled by black
-  "C901", # too complex
+    "E501",  # line too long, handled by black
+    "C901",  # too complex
 ]
 
 [tool.ruff.lint.isort]
@@ -75,10 +75,10 @@ order-by-type = true
 relative-imports-order = "closest-to-furthest"
 extra-standard-library = ["typing"]
 section-order = [
-  "future",
-  "standard-library",
-  "third-party",
-  "first-party",
-  "local-folder",
+    "future",
+    "standard-library",
+    "third-party",
+    "first-party",
+    "local-folder",
 ]
 known-first-party = []