Upload app.py

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app.py

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+import gradio as gr
+from fastai.vision.all import *
+
+learn = load_learner('model_beeOrWasp.pkl')
+
+labels = ('Bee', 'Wasp')
+def predict(img):
+  pred, pred_idx, prob = learn.predict(img)
+  return dict(zip(labels, map(float, prob)))
+  
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+examples = ['bee.jpg', 'wasp.jpg']
+
+intf = gr.Interface(fn=predict,inputs=image,outputs=label)
+intf.launch(inline=False, share=True)