| # Use the official Python image. Adjust the version if needed. | |
| FROM python:3.10-slim | |
| # Set the working directory in the container | |
| WORKDIR /code | |
| # Copy just the requirements file first to leverage Docker cache | |
| COPY ./requirements.txt /code/requirements.txt | |
| # Install dependencies | |
| # --no-cache-dir can reduce image size, --upgrade pip is good practice | |
| RUN pip install --no-cache-dir --upgrade pip && \ | |
| pip install --no-cache-dir -r requirements.txt | |
| # Copy the rest of the application code into the container | |
| # This includes app.py and your asd_classifier_model.pkl file | |
| COPY . /code/ | |
| # Expose the port FastAPI will run on (Hugging Face default is 7860) | |
| EXPOSE 7860 | |
| # Command to run the application using uvicorn | |
| # Ensure 'app:app' matches your filename (app.py) and FastAPI instance ('app') | |
| # Use 0.0.0.0 to listen on all network interfaces, port 7860 | |
| CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"] | |