Update app.py

app.py

@@ -1,21 +1,15 @@
-
-
 from fastai.vision.all import *
 import gradio as gr
 
-def what_ball(x): return x in ['soccer ball','basketball ball','golf ball','tennis ball','volleyball ball','Cricket ball']
+learn=load_learner('sportball.pkl')
 
-# %% ../app2.ipynb 3
-learn=load_learner('model.pkl')
+categories = ['basketball','cricket','volleyball','soccer','tennis','golf']
 
-# %% ../app2.ipynb 5
-categories = ['soccer ball','basketball ball','golf ball','tennis ball','volleyball ball','Cricket ball']
 def classify_image(img):
     pred, idx, probs = learn.predict(img)
     return dict(zip(categories, map(float, probs)))
 
-# %% ../app2.ipynb 7
-image = gr.inputs.Image(shape=(192,192))
+image = gr.inputs.Image(shape=(192, 192))
 label = gr.outputs.Label()
 examples = [
     'soccer_ball.jpg',
@@ -25,9 +19,6 @@ examples = [
     'golf_ball.jpg',
     'cricket_ball.jpg'
 ]
-intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
-intf.launch(inline=False)
-iface = gr.Interface(fn= classify_image, inputs=image, outputs=label, examples = examples,  title = "Sports Ball Recognition App", description = "This app can recognize different types of sport balls.")
-iface.launch(inline = False)
 
-# inline = False, share = True
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples, title = "Sports Ball Recognition App", description = "This app can recognize different types of sport balls.")
+intf.launch(inline=False)