doen

app.py

@@ -1,14 +1,21 @@
-__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')
-def is_cat(x): return x[0].isupper()
-categories=('Dog','Cat')
+
+def is_cat(x):
+    return x[0].isupper()
+
+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)))
+    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)  
+label = gr.components.Label(label="Image Output")
+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)