Dockerfile

FROM python:3.10-slim

WORKDIR /app

# Install required system dependencies
RUN apt-get update && apt-get install -y \
    build-essential \
    git \
    && rm -rf /var/lib/apt/lists/*

# Copy requirements first for better caching
COPY requirements.txt .

# Install Python dependencies
RUN pip install --no-cache-dir -r requirements.txt

# Create cache directories with proper permissions
RUN mkdir -p /.cache && chmod 777 /.cache
RUN mkdir -p /root/.cache && chmod 777 /root/.cache
RUN mkdir -p /app/.cache && chmod 777 /app/.cache

# Create models directory for Hugging Face
RUN mkdir -p /app/models && chmod 777 /app/models
ENV TRANSFORMERS_CACHE=/app/models

# Copy the rest of the application
COPY . .

# Create necessary directories with proper permissions
RUN mkdir -p data/documents data/vector_db && \
    chmod -R 777 data

# Set environment variables
ENV TOKENIZERS_PARALLELISM=false
ENV HF_HOME=/app/.cache
ENV XDG_CACHE_HOME=/app/.cache
ENV HUGGINGFACEHUB_API_TOKEN=""
ENV HF_API_KEY=""
ENV LLM_MODEL="google/flan-t5-small"
ENV EMBEDDING_MODEL="sentence-transformers/all-MiniLM-L6-v2"

# Expose the port required by Hugging Face Spaces
EXPOSE 7860

# Set the entrypoint command to run the Streamlit app on port 7860
CMD ["streamlit", "run", "app/ui/streamlit_app.py", "--server.port=7860", "--server.address=0.0.0.0"]