app.py

import gradio as gr
from model import predict_fruit_type

def predict(img):
    return predict_fruit_type(img)
    

interface_options = {
    "title": "Fruit Classifier Demo",
    "description": "Yoooo this is my college assignment. A VGG-16 model that predicts the fruit type.",
    # "interpretation": "default",
    "layout": "horizontal",
    "examples": [
        "./blue_berry_1.jpg", "./avacado_1.jpg",
        "./dragon_fruit_1.jpg", './cranberry_1.jpg',
        './jackfruit_1.jpg', './muskmelon_1.jpg',
        './pineapple_1.jpg', './banana_1.jpg',
        './orange_1.jpg', './watermelon_1.jpg',
    ],
    "allow_flagging": "never",
}

demo = gr.Interface(
    fn=predict,
    inputs=gr.inputs.Image(shape=(480, 480)),
    outputs=gr.outputs.Textbox(type="auto", label=None),
    **interface_options,
)

demo.launch(share=False)