INNER CODE UNIT · Python

res

featurestoreorg/serverless-ml-course · src/04-module/app.py:26

    res = model.predict(np.asarray(input_list).reshape(1, -1)) 
    # We add '[0]' to the result of the transformed 'res', because 'res' is a list, and we only want 
    # the first element.
    flower_url = "https://raw.githubusercontent.com/featurestoreorg/serverless-ml-course/main/src/01-module/assets/" + res[0] + ".png"
    img = Image.open(requests.get(flower_url, stream=True).raw)            
    return img
        
demo = gr.Interface(
    fn=iris,
    title="Iris Flower Predictive Analytics",
    description="Experiment with sepal/petal lengths/widths to predict which flower it is.",
    allow_flagging="never",
    inputs=[
        gr.inputs.Number(default=1.0, label="sepal length (cm)"),
        gr.inputs.Number(default=1.0, label="sepal width (cm)"),
        gr.inputs.Number(default=1.0, label="petal length (cm)"),
        gr.inputs.Number(default=1.0, label="petal width (cm)"),
        ],

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