Aurator_Coaching / Dockerfile
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# Production Dockerfile for Public Speaking Coach API
# Optimized for Hugging Face Spaces or any cloud deployment
FROM python:3.11-slim
# Set environment variables
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 \
ffmpeg \
libsndfile1 \
git \
&& rm -rf /var/lib/apt/lists/*
# Set working directory
ENV OMP_NUM_THREADS=1
WORKDIR /app
# Copy requirements first (for better caching)
COPY requirements.txt .
# Install Python dependencies
RUN pip install --no-cache-dir -r requirements.txt
RUN pip install uvicorn
# Copy application code
COPY kid_coach_pipeline.py .
COPY main.py .
# Create directory for temporary files
RUN mkdir -p /tmp/uploads
# Expose port
EXPOSE 7860
# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=60s --retries=3 \
CMD python -c "import requests; requests.get('http://localhost:7860/health')"
# Run the application
# Use port 7860 for Hugging Face Spaces compatibility
CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]