Dockerfile

FROM python:3.10-slim

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

# Set working directory
WORKDIR /home/user/app

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

# Install PyTorch first (matching the version used in Hugging Face)
RUN pip install --no-cache-dir torch==2.8.0 torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu

# Install mmcv-full with pre-built wheel (this is the key optimization)
RUN pip install --no-cache-dir mmcv-full -f https://download.openmmlab.com/mmcv/dist/cpu/torch2.8/index.html

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

# Copy the application code
COPY . .

# Create necessary directories
RUN mkdir -p models/musetalk models/musetalkV15 models/syncnet models/dwpose models/face-parse-bisent models/sd-vae models/whisper

# Set environment variables
ENV PYTHONPATH=/home/user/app
ENV HF_HOME=/home/user/app/.cache/huggingface

# Expose port
EXPOSE 7860

# Run the application
CMD ["python", "app.py"]