finaly

app.py

@@ -1,7 +1,13 @@
-import gradio as gr
-
-def greet(name):
-    return "Hello " + name + "!!"
-
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+__all__={'is_cat', "learn" , "classify_image", 'categories', 'image', 'label', 'examples' ,'intf'}
+from fastai.vision.all import *
+import gradio as gr
+learn= load_learner('model.pkl')
+categories=('Dog','Cat')
+def classify_image(img):
+ pred,idx,probs=learn.predict(img)
+ return dict(zip(categories, map(float,probs)))
+image = gr.components.Image(label="Image Input")
+label= gr.components.Label(label="Image Input")
+examples = ['dog.jpg','cat.jpg','0002a367-38b4-41c3-a47c-b11e104b394b.jpg']
+intf=gr.Interface(fn=classify_image, inputs=image, outputs=label , examples=examples)
+intf.launch(inline= False)