rag-model-evaluation / Dockerfile
Mã Lương Khánh
Initial commit: RAG model evaluation system
8248295
# Dockerfile for Hugging Face Spaces deployment
FROM python:3.10-slim
WORKDIR /app
# Install system dependencies
RUN apt-get update && apt-get install -y \
build-essential \
&& 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
# Copy application code
COPY app.py .
COPY cacul.py .
COPY questions_answers.csv .
COPY templates/ ./templates/
# Create data directory for persistent storage
RUN mkdir -p /data
# Create initial empty CSV files if they don't exist
RUN touch votes_results.csv model_comparison_results.csv
# Expose port 7860 for Hugging Face Spaces
EXPOSE 7860
# Set environment variables
ENV PYTHONUNBUFFERED=1
ENV FLASK_APP=app.py
# Run Flask application on port 7860
CMD ["python", "-c", "from app import app; app.run(host='0.0.0.0', port=7860, debug=False)"]