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ec591aa a9cce6e ec591aa | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | # 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"]
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