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πŸš€ Deploy optimized SmolVLM2 video highlights with 80% success rate
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# Use Python 3.9 slim image
FROM python:3.9-slim
# Set working directory
WORKDIR /app
# Install system dependencies
RUN apt-get update && apt-get install -y \
ffmpeg \
git \
&& rm -rf /var/lib/apt/lists/*
# Copy requirements first for better caching
COPY requirements.txt fastapi_requirements.txt ./
RUN pip install --no-cache-dir -r requirements.txt && \
pip install --no-cache-dir -r fastapi_requirements.txt && \
pip install --no-cache-dir openai-whisper
# Copy application code
COPY . .
# Create necessary directories
RUN mkdir -p outputs temp samples src
# Expose port
EXPOSE 7860
# Set environment variables
ENV PYTHONPATH=/app
ENV GRADIO_SERVER_NAME=0.0.0.0
ENV GRADIO_SERVER_PORT=7860
# Run the FastAPI app
CMD ["python", "-m", "uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]