Update app.py

app.py

@@ -9,7 +9,7 @@ load_model = tf.keras.models.load_model('./resnet50_food_model')
 
 def predict(img):
     img = img.reshape(-1,224,224,3)
-    prediction=model.predict(img)[0]
+    prediction= load_model.predict(img)[0]
 
     return {labels[i]: float(prediction[i]) for i in range(2)}