NLP_Model / Dockerfile
Sadeep Sachintha
Switch to public Sinhala sentiment analysis model (sinbert-small)
3f2f2b1
# Use an official Python runtime as a parent image
FROM python:3.10-slim
# Set the working directory in the container
WORKDIR /code
# Copy the requirements file into the container
COPY ./requirements.txt /code/requirements.txt
# Install any needed packages specified in requirements.txt
RUN pip install --no-cache-dir -r /code/requirements.txt
# Create a non-root user for security (Hugging Face Spaces requirement)
RUN useradd -m -u 1000 user
USER user
ENV HOME=/home/user \
PATH=/home/user/.local/bin:$PATH
WORKDIR $HOME/app
# Copy the current directory contents into the container
COPY --chown=user . $HOME/app
# Pre-download the Hugging Face model during the build stage
# This saves time and bandwidth during container startup
RUN python -c "from transformers import pipeline; pipeline('sentiment-analysis', model='sinhala-nlp/sinhala-sentiment-analysis-sinbert-small')"
# Make port 7860 available to the world outside this container
EXPOSE 7860
# Run main.py when the container launches
CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "7860"]