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# Use the official PyTorch image as the base | |
FROM pytorch/pytorch:2.3.1-cuda12.1-cudnn8-runtime | |
# Labels | |
LABEL maintainer="Jacob Schmieder" | |
LABEL email="[email protected]" | |
LABEL version="0.1.1.dev" | |
LABEL description="Scraibe is a tool for automatic speech recognition and speaker diarization. \ | |
It is based on the Hugging Face Transformers library and the Pyannote library. \ | |
It is designed to be used with the Whisper model, a lightweight model for automatic \ | |
speech recognition and speaker diarization." | |
LABEL url="https://github.com/JSchmie/ScrAIbe" | |
# Set up a new user named "hyathi" with user ID 1000 | |
RUN useradd -m -u 1000 hyathi | |
RUN usermod -aG sudo hyathi | |
# Install sudo and add user to sudoers group | |
RUN apt update -y && apt install -y sudo | |
# Allow the user to run apt commands without a password prompt by modifying sudoers file | |
RUN echo "hyathi ALL=(ALL) NOPASSWD: /usr/bin/apt, /bin/rm" >> /etc/sudoers | |
# Switch to the new user | |
USER hyathi | |
# Set home to the user's home directory | |
ENV HOME=/home/hyathi \ | |
PATH=/home/hyathi/.local/bin:$PATH | |
# Set the working directory | |
WORKDIR $HOME/app | |
# Environment dependencies | |
ENV TRANSFORMERS_CACHE=$HOME/app/models | |
ENV HF_HOME=$HOME/app/models | |
ENV AUTOT_CACHE=$HOME/app/models | |
ENV PYANNOTE_CACHE=$HOME/app/models/pyannote | |
# Copy all necessary files | |
COPY requirements.txt $HOME/app/requirements.txt | |
COPY README.md $HOME/app/README.md | |
COPY scraibe $HOME/app/scraibe | |
# Installing all necessary dependencies and running the application with a personalized Hugging-Face-Token | |
RUN sudo apt update -y && sudo apt upgrade -y && \ | |
sudo apt install -y libsm6 libxrender1 libfontconfig1 && \ | |
sudo apt clean && \ | |
sudo rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/* | |
# Update Conda and install libsndfile | |
# RUN sudo conda update --all && \ | |
# sudo conda install -c conda-forge libsndfile && \ | |
# sudo conda clean --all -y | |
# Install Python dependencies from requirements.txt | |
RUN pip install --no-cache-dir -r requirements.txt | |
WORKDIR $HOME/app | |
RUN ls | |
# Expose the port for the app | |
EXPOSE 7860 | |
# Run the application | |
CMD ["uvicorn", "app.app:app", "--host", "127.0.0.1", "--port", "7860", "--reload"] | |