Jaikinator
46 lines
1.6 KiB
Docker
46 lines
1.6 KiB
Docker
#pytorch Image
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FROM pytorch/pytorch:1.11.0-cuda11.3-cudnn8-runtime
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# Labels
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LABEL maintainer="Jacob Schmieder"
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LABEL email="Jacob.Schmieder@dbfz.de"
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LABEL version="0.1.1.dev"
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LABEL description="Scraibe is a tool for automatic speech recognition and speaker diarization. \
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It is based on the Hugging Face Transformers library and the Pyannote library. \
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It is designed to be used with the Whisper model, a lightweight model for automatic \
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speech recognition and speaker diarization."
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LABEL url="https://github.com/JSchmie/ScrAIbe"
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# Install dependencies
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WORKDIR /app
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ARG model_name=medium
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#Enviorment Dependncies
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ENV TRANSFORMERS_CACHE /app/models
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ENV HF_HOME /app/models
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ENV AUTOT_CACHE /app/models
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ENV PYANNOTE_CACHE /app/models/pyannote
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#Copy all necessary files
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COPY requirements.txt /app/requirements.txt
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COPY README.md /app/README.md
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COPY models /app/models
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COPY scraibe /app/scraibe
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COPY setup.py /app/setup.py
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#Installing all necessary Dependencies and Running the Application with a personalised Hugging-Face-Token
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RUN apt update && apt-get install -y libsm6 libxrender1 libfontconfig1
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RUN conda update --all
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RUN conda install pip
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RUN conda install -y ffmpeg
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RUN conda install -c conda-forge libsndfile
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RUN pip install torchaudio==0.11.0+cu113 -f https://download.pytorch.org/whl/torch_stable.html
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RUN pip install -r requirements.txt
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RUN pip install markupsafe==2.0.1 --force-reinstall
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RUN python3 -m 'scraibe.cli' --whisper-model-name $model_name
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# Expose port
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EXPOSE 7860
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# Run the application
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ENTRYPOINT ["python3", "-m", "scraibe.cli" ,"--whisper-model-name", "$model_name"] |