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# Use a lightweight base image with Python | |
FROM python:3.11-slim | |
# Set environment variables for Hugging Face cache | |
ENV TRANSFORMERS_CACHE=/tmp/huggingface/cache | |
ENV HF_HOME=/tmp/huggingface/home | |
# Create necessary directories for caching | |
RUN mkdir -p $TRANSFORMERS_CACHE $HF_HOME | |
# Set the working directory | |
WORKDIR /app | |
# Install necessary dependencies | |
COPY requirements.txt . | |
RUN pip install --upgrade pip && \ | |
pip install --no-cache-dir -r requirements.txt && \ | |
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu | |
# Copy your model files (ensure this path is correct) | |
COPY flan-t5-small /models/flan-t5-small | |
# Copy your application code | |
COPY ./app . | |
# Expose the port the app runs on | |
EXPOSE 5005 | |
# Command to run your application | |
CMD ["uvicorn", "app.server:app", "--host", "0.0.0.0", "--port", "5005"] | |