SIH-ML-Backend / Dockerfile
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Update Dockerfile
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# Use an official Python runtime as a parent image
FROM python:3.10
# Set the working directory in the container
WORKDIR /code
# Set the home directory for Hugging Face cache to a writable location
ENV HF_HOME="/data/huggingface-cache"
# 1. Copy and install requirements first to leverage Docker layer caching
COPY ./requirements.txt /code/requirements.txt
RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
# 2. Copy the rest of your application code
COPY . /code/
# 3. Create directories and set correct permissions
# This ensures the app has permission to write to the cache and ChromaDB folders
RUN mkdir -p /data/chroma_db /data/huggingface-cache && \
chown -R 1000:1000 /code /data
# 4. Run the one-time setup script to populate the database
# REMEMBER to remove this line after the first successful deployment
# Switch to a non-root user for better security
USER 1000
# 5. Run the application
# Note: We are using 'app:app' which assumes your main file is named 'app.py'
CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]