Update app.py

app.py

@@ -1,15 +1,18 @@
 from fastai.vision.all import *
 import gradio as gr
+learner = load_learner('export.pkl')
+
+
+labels = learner.dls.vocab
+
+def predict(img):
+  img = PILImage.create(img)
+  pred, pred_idx, probs = learner.predict(img)
+  return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
-learn_inf = load_learner('export.pkl')
-def classify_image(img):
-    pred,pred_idx,probs = learn_inf.predict(img)
-    return dict(zip(pred, map(float, probs[pred_idx])))
-    
 image = gr.inputs.Image(shape=(224, 224))
 label = gr.outputs.Label()
 examples = ['1.jpg', '2.jpg', '3.jpg']
 
 
-iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
-iface.launch(inline=False)
+gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(224, 224)), outputs=gr.outputs.Label(num_top_classes=3), examples=examples).launch(share=True, debug=True)