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8d1d8b8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 | # Use a slim Python base image
FROM python:3.10-slim
# Create a non-root user 'user' with UID 1000
# This is required by Hugging Face Spaces
RUN useradd -m -u 1000 user
# Set environment variables
ENV PYTHONDONTWRITEBYTECODE=1
ENV PYTHONUNBUFFERED=1
ENV HOME=/home/user
ENV PATH=$HOME/.local/bin:$PATH
# Install system dependencies required for OpenCV, audio processing, etc.
RUN apt-get update && apt-get install -y \
libgl1 \
libglib2.0-0 \
libsndfile1 \
&& rm -rf /var/lib/apt/lists/*
# Set the working directory
WORKDIR $HOME/app
# Change ownership of the app directory to the 'user'
RUN chown -R user:user $HOME/app
# Switch to the non-root user
USER user
# Copy requirements and install them
COPY --chown=user:user requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
# Copy the download script and execute it to cache models
# This bakes the downloaded models directly into the Docker image layers
COPY --chown=user:user download_models.py .
ARG HUGGING_FACE_TOKEN
ENV HUGGING_FACE_TOKEN=$HUGGING_FACE_TOKEN
RUN python download_models.py
# Copy the rest of the application code
COPY --chown=user:user app ./app
COPY --chown=user:user frontend ./frontend
# Expose port (HF Spaces routes traffic to 7860 by default)
EXPOSE 7860
# Command to run the application (assuming FastAPI via Uvicorn)
CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "7860"]
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