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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 classifies images into 3 Classes [Depth-Accepted: the image is accepted to Measure Trench Depth Quality] [Width-Accepted: the image is accepted to Measure Trench Width Quality] [Not-Accepted: the image is not accepted]").launch() |