FROM python:3.10

# Set the working directory
WORKDIR /python-docker

# Copy the requirements file and install dependencies
COPY requirements.txt requirements.txt
RUN apt-get update && apt-get install -y git ffmpeg

# Install Python dependencies without caching
RUN pip install --no-cache-dir -r requirements.txt

# Create cache directories for Hugging Face and set permissions
RUN mkdir -p /python-docker/.cache/huggingface && \
    chown -R 1000:1000 /python-docker/.cache

# Set the TRANSFORMERS_CACHE environment variable to the writable cache directory
ENV TRANSFORMERS_CACHE=/python-docker/.cache/huggingface

# Install Whisper model to ensure it's available
RUN python -c "from transformers import pipeline; pipeline('automatic-speech-recognition', model='openai/whisper-small')"

# Copy the entire application with appropriate permissions
COPY --chown=1000:1000 . .

# Expose the port the app runs on
EXPOSE 8001

# Set the command to run the application
CMD ["uvicorn", "fastapi_app:app", "--host", "0.0.0.0", "--port", "8001"]