app.py

import gradio as gr
import skimage

labels = []
def predict(img):
    img = PILImage.create(img)
    pred,pred_idx,probs = detector.predict(img)
    return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
title = "Geometric Shape Classifier"
description = "A geometric shape setector."
examples = ['A.jpg']
interpretation='default'
enable_queue=True

gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(512, 512)),outputs=gr.outputs.Label(num_top_classes=3),title=title,description=description,examples=examples,interpretation=interpretation,enable_queue=enable_queue).launch()