Download Dockerfile from Janmejay1198/TFReceiptLinearPredictor: direct link, hf CLI and curl.
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615 Bytes
| FROM python:3.9-slim | |
| # Set the working directory in the container | |
| WORKDIR /app | |
| # Copy the current directory contents into the container at /app | |
| COPY . /app | |
| # Install any needed packages specified in requirements.txt | |
| RUN pip install --no-cache-dir -r requirements.txt | |
| # Make port 5000 available to the world outside this container | |
| EXPOSE 5000 | |
| # Run train.py to train the model | |
| RUN python model_train.py | |
| # Run inference.py to generate model predictions | |
| RUN python inference.py | |
| # Define environment variable | |
| ENV FLASK_APP=app.py | |
| # Run app.py when the container launches | |
| CMD ["flask", "run", "--host=0.0.0.0"] |