Dockerfile

# Use Python 3.9 as the base image
FROM python:3.9

# Set the working directory
WORKDIR /app

# Install system dependencies (FFmpeg is required for audio processing)
RUN apt-get update && apt-get install -y ffmpeg

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

# Copy the rest of the application code
COPY . .

# Create a cache directory for Hugging Face models and set permissions
# This prevents permission errors when the model tries to download
RUN mkdir -p /app/cache && chmod 777 /app/cache
ENV TRANSFORMERS_CACHE=/app/cache
ENV HF_HOME=/app/cache

# Expose the port (Hugging Face Spaces uses 7860)
EXPOSE 7860

# Command to run the application using Uvicorn
CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]