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# Use a lightweight Python image | |
FROM python:3.9-slim | |
# Set the working directory inside the container | |
WORKDIR /app | |
# Copy requirements file and install dependencies | |
COPY requirements.txt . | |
RUN pip install --no-cache-dir -r requirements.txt | |
# Ensure necessary libraries for Hugging Face and document processing | |
RUN apt-get update && apt-get install -y \ | |
libgl1-mesa-glx \ | |
libglib2.0-0 \ | |
&& rm -rf /var/lib/apt/lists/* | |
# Copy application files | |
COPY . . | |
# Expose the port Flask runs on | |
EXPOSE 7860 | |
# Set environment variables for better CPU performance | |
ENV TOKENIZERS_PARALLELISM=false \ | |
TRANSFORMERS_OFFLINE=1 \ | |
HF_DATASETS_OFFLINE=1 | |
# Run the application using Gunicorn with multiple workers | |
CMD ["gunicorn", "-w", "2", "-b", "0.0.0.0:7860", "app:app"] | |