Dockerfile

# Use a slimmer official Python image
FROM python:3.9-slim

# Set working directory
WORKDIR /app

# Install system dependencies for PyPDF2, python-pptx, etc.
RUN apt-get update && apt-get install -y --no-install-recommends \
    gcc \
    && rm -rf /var/lib/apt/lists/*

# Copy requirements file and install Python dependencies
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt

# Set a writable cache directory for Hugging Face models
ENV HF_HOME=/app/hf_cache
RUN mkdir -p /app/hf_cache

# Pre-download T5-Base model and tokenizer
RUN python -c "from transformers import T5Tokenizer, T5ForConditionalGeneration; T5Tokenizer.from_pretrained('t5-base'); T5ForConditionalGeneration.from_pretrained('t5-base')"

# Copy the entire application
COPY . .

# Expose the application port
EXPOSE 7860

# Run Gunicorn with logging
CMD ["gunicorn", "-w", "2", "-b", "0.0.0.0:7860", "--log-level", "info", "app:app"]