first commit

app.py

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

requirements.txt

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+fastai

resnet_finetuned.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:89323337f698a49b6f9088550e64caf1da15322d46796032ef1c08c8dad238ad
+size 102989965