app.py

import gradio as gr


def greet(name):
    return "Start " + name + "!"
    
demo = gr.Interface(
    fn=greet,
    inputs=gr.Textbox(lines=2, placeholder="Name Here..."),
    outputs="text",
)
#demo.launch()


gr.Interface.load("models/omarhkh/resnet-50-finetuned-omar", title="This application is to classify images into 3 Classes \n Depth-Accepted: the image is accepted to Measure Trench Depth Quality \n \n Width-Accepted: the image is accepted to Measure Trench Width Quality \n Not-Accepted: the image is not accepted").launch()