updated app.py

app.py

@@ -6,11 +6,11 @@ learn = load_learner('movements_05_02_22_4pm.pkl')
 
 def predict(img):
     labels = learn.dls.vocab
-    im = PILImage.create(img)
-    pred,pred_idx,probs = learn.predict(im)
-    return {label: float(prob) for (label,prob) in zip(labels,probs)}
+    img = PILImage.create(img)
+    pred,pred_idx,probs = learn.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
-examples = [f"Image{n:02d}.jpg" for n in range(25)]
+examples = [f"Image{n:02d}.jpg" for n in range(20)]
 
 gr.Interface(fn=predict,
              inputs=gr.inputs.Image(shape=((512,512))),