Spaces:
Sleeping
Sleeping
File size: 1,110 Bytes
2fa269c 81fe8c1 1bef953 81fe8c1 2fa269c 1bef953 2fa269c 81fe8c1 c6e26f4 1bef953 81fe8c1 1bef953 81fe8c1 1bef953 c6e26f4 81fe8c1 2fa269c 1bef953 81fe8c1 2fa269c 1bef953 81fe8c1 |
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 |
# Use the PyTorch image as the base
FROM pytorch/pytorch:2.0.0-cuda11.7-cudnn8-runtime
# Create a new user with user ID 1000
RUN useradd -m -u 1000 user
# Set environment variables
ENV HF_HOME=/home/user/cache
ENV PATH="/home/user/.local/bin:$PATH"
# Switch to the new user
USER user
WORKDIR /home/user/app
# Create the cache directory with correct ownership and permissions
RUN mkdir -p /home/user/cache && chmod -R 777 /home/user/cache
# Copy application files with ownership set to the new user
COPY --chown=user . /home/user/app
# Install Python dependencies, including uvicorn
RUN pip install --no-cache-dir -r requirements.txt uvicorn
# Debugging: Check if uvicorn is installed and print its location
RUN which uvicorn || echo "uvicorn is not installed!"
RUN pip show uvicorn || echo "uvicorn package details not found!"
RUN echo $PATH
# Expose the application port
EXPOSE 7860
# Debugging: Print Python version and installed packages
RUN python --version
RUN pip list
# Run the application
CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]
|