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app.py
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import gradio as gr
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from fastai.vision.all import *
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learn=load_learner("resnet_finetuned.pkl")
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def classify_images(im):
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pred,idx,probs=learn.predict(im)
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s='Your submitted case has Prostate cancer of IUPC Grade '+pred
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return s
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img=gr.Image(shape=(512,512),source="upload")
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label=gr.Label()
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examples=["0.jpeg","2.jpeg","4.jpeg"]
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intf=gr.Interface(title="PCa Detection ProtoType",description="This is Protorype for our model presiction",fn=classify_images,inputs=img,outputs=label,examples=examples)
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intf.launch(inline=False)
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