# Dockerfile

# Use an official Python runtime as a parent image
FROM python:3.11

# Set the working directory in the container
WORKDIR /app

# Set a writable cache directory for Hugging Face models
ENV HF_HOME=/app/cache
ENV TRANSFORMERS_CACHE=/app/cache

# Copy and install requirements first to leverage Docker layer caching
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt

# --- FIX: Create the cache directory and set its permissions ---
# This ensures the directory exists and is writable by any user.
RUN mkdir -p /app/cache && \
    chmod -R 777 /app/cache

RUN apt-get update && apt-get install -y ffmpeg \
    && rm -rf /var/lib/apt/lists/*

# Copy the rest of your application code into the container
COPY . .

# Make port 7860 available to the world outside this container
EXPOSE 7860

# Command to run your application using gunicorn with eventlet for SocketIO
CMD ["gunicorn", "--worker-class", "eventlet", "--bind", "0.0.0.0:7860", "app.app:app"]