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# Dockerfile
# 1. Choose a base Python image
FROM python:3.9-slim
# 2. Set the working directory inside the container
WORKDIR /code
# 3. (Optional but recommended) Install system dependencies if needed
# Example: If yt-dlp needs ffmpeg for specific audio conversions later
RUN apt-get update && apt-get install -y --no-install-recommends ffmpeg && apt-get clean && rm -rf /var/lib/apt/lists/*
# 4. Copy the requirements file first (for Docker layer caching)
COPY ./requirements.txt /code/requirements.txt
# 5. Install Python dependencies
RUN pip install --no-cache-dir --upgrade pip
RUN pip install --no-cache-dir --requirement /code/requirements.txt
# 6. Copy the rest of your application code into the container
COPY . /code/
# For larger projects, you might copy specific files instead of '.'
# 7. Expose the port the application will run on (HF Spaces expects 7860 usually)
EXPOSE 7860
# 8. Specify the command to run your application using uvicorn
# main: the Python file name (main.py)
# app: the FastAPI instance variable name inside main.py (app = FastAPI())
# --host 0.0.0.0: Makes the server accessible from outside the container
# --port 7860: The port to listen on
CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"] |