Lega.AI / Dockerfile
CoderNoah
Initial commit
8b7e8f0
# Use Python 3.11 as Hugging Face Spaces supports it well
FROM python:3.11-slim
# Set working directory
WORKDIR /app
# Set environment variables for Python
ENV PYTHONUNBUFFERED=1 \
PYTHONDONTWRITEBYTECODE=1 \
PIP_NO_CACHE_DIR=1 \
PIP_DISABLE_PIP_VERSION_CHECK=1
# Install system dependencies
RUN apt-get update && apt-get install -y \
build-essential \
curl \
git \
&& rm -rf /var/lib/apt/lists/*
# Copy requirements first for better layer caching
COPY requirements.txt .
# Install Python dependencies
RUN pip install --no-cache-dir -r requirements.txt
# Copy the application code
COPY . .
# Create necessary directories
RUN mkdir -p data/chroma_db uploads data .streamlit && \
touch data/app.log && \
chmod -R 777 data uploads .streamlit
# Expose the port that Streamlit runs on
EXPOSE 7860
# Set the default port for Hugging Face Spaces
ENV STREAMLIT_SERVER_PORT=7860
ENV STREAMLIT_SERVER_ADDRESS=0.0.0.0
ENV STREAMLIT_CONFIG_DIR=/app/.streamlit
ENV XDG_CONFIG_HOME=/app
# Health check
HEALTHCHECK CMD curl --fail http://localhost:7860/_stcore/health
# Command to run the application
CMD ["streamlit", "run", "main.py", "--server.port=7860", "--server.address=0.0.0.0", "--server.headless=true", "--server.fileWatcherType=none"]