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File size: 525 Bytes
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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() |