sentiment-analysis / Dockerfile
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# Use Python base image
FROM python:3.9
# Set working directory
WORKDIR /app
# Copy files
COPY requirements.txt .
COPY main.py .
# Install dependencies
RUN pip install --no-cache-dir -r requirements.txt
# Set cache directory
ENV TRANSFORMERS_CACHE="/app/cache"
# Pre-download the model (to avoid runtime downloads)
RUN python -c "from transformers import pipeline; pipeline('sentiment-analysis', model='distilbert-base-uncased-finetuned-sst-2-english')"
# Expose port for FastAPI
EXPOSE 7860
# Run FastAPI server
CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]