commit

app.py

@@ -1,20 +1,6 @@
-import fastai
 import gradio as gr
 
-def is_what_car(x):
-  return x[0]
+def greet(name):
+  return f"Hello {name}!"
 
-  learn = load_learner('modelq.pkl')
-
-  categories = ('porsche', 'mercedes', 'bentley', 'opel')
-
-def cassify_image(img):
-    pred,idx,probs = learn.predict(img)
-    return dict(zip(categories, map(float,probs)))
-
-image = gr.inputs.Image(shape=(192,192))
-label = gr.outputs.Label()
-examples = ['gt3.jpg', 'continental.jpg']
-
-intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
-intf.launch(inline=False)(base)
+gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples).launch(inline=False)(base)