Create app.py

app.py

@@ -1,17 +0,0 @@
-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)