Dockerfile

# Base image with CUDA support (uses PyTorch image for convenience)
FROM pytorch/pytorch:2.0.1-cuda11.7-cudnn8-runtime

ENV DEBIAN_FRONTEND=noninteractive
ENV TZ=Etc/UTC

# Install system packages
RUN apt-get update && apt-get install -y \
    git \
    ffmpeg && \
    rm -rf /var/lib/apt/lists/*

# Set working directory
WORKDIR /app

# Copy requirements and install Python dependencies
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt

# Copy application code
COPY app.py .

# Expose port for FastAPI
EXPOSE 7860

# Start the FastAPI server using Uvicorn
CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]