Update app.py

app.py

@@ -63,7 +63,7 @@ def create_image(filename):
 def predict(img):
     img = PILImage.create(img)
     _pred, _pred_w_idx, probs = model.predict(img)
-    # gradio doesn't support tensors, so convertings to foloat
+    # gradio doesn't support tensors, so converting to float
     labels_probs = {labels[i]: float(probs[i]) for i, _ in enumerate(labels)}
     return labels_probs
 
@@ -83,6 +83,8 @@ demo = gradio.Interface(
 launch_options = {
     "enable_queue": True,
     "share": False,
+    # thanks Alex for pointing this option to cache examples
+    "cache_example": True,
 }
 
 demo.launch(**launch_options)