Update app.py

app.py

@@ -13,7 +13,7 @@ def predict(img):
     images_list.append(np.array(img))
     x = np.asarray(images_list)"""
     prediction = model.predict(img)[0]
-    return {class_ames[i]: float(prediction[i]) for i in range(len(class_names))}
+    return {class_names[i]: float(prediction[i]) for i in range(len(class_names))}
 
 image = gr.inputs.Image(shape=(160, 160))
 label = gr.outputs.Label(num_top_classes=2)