Dockerfile

# Use Python 3.10 base image (required for outetts)
FROM python:3.10-slim

# Set working directory
WORKDIR /app

# Set environment variables
ENV PYTHONPATH="${PYTHONPATH}:/app:/app/yarngpt"
ENV HF_HOME="/tmp/huggingface"
ENV PYTHONUNBUFFERED=1

# Install system dependencies
RUN apt-get update && apt-get install -y \
    git \
    wget \
    curl \
    build-essential \
    ffmpeg \
    && apt-get clean \
    && 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 yarngpt folder and other files
COPY yarngpt/ ./yarngpt/
COPY main.py .
COPY start.sh .

# Try to install yarngpt from PyPI as backup
RUN pip install yarngpt || echo "PyPI installation failed, using local copy"

# Create model download script
RUN echo 'import os\n\
import requests\n\
from pathlib import Path\n\
\n\
def download_file(url, filepath):\n\
    print(f"Downloading {filepath}...")\n\
    response = requests.get(url, stream=True)\n\
    response.raise_for_status()\n\
    with open(filepath, "wb") as f:\n\
        for chunk in response.iter_content(chunk_size=8192):\n\
            f.write(chunk)\n\
    print(f"Downloaded {filepath}")\n\
\n\
# Create directories\n\
Path("/tmp/huggingface/hub").mkdir(parents=True, exist_ok=True)\n\
\n\
print("Model files will be downloaded during startup...")\n\
print("Setup complete!")' > download_models.py

# Run the download script
RUN python download_models.py

# Make start script executable
RUN chmod +x start.sh

# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=60s --retries=3 \
    CMD curl -f http://localhost:7860/health || exit 1

# Expose port
EXPOSE 7860

# Start the application
CMD ["./start.sh"]