Update app.py

app.py

@@ -9,7 +9,7 @@ def predict(input_img):
     return input_img, {p["label"]: p["score"] for p in predictions} #Use dictionary to identify hotdog P in first loop is lebel hotdog with the score as output, another one is not hotdog
 
 gradio_app = gr.Interface(
-    predict, #Call Predict function
+    predict, #Call Predict function after click submit
     inputs=gr.Image(label="Select hot dog candidate", sources=['upload', 'webcam'], type="pil"), #Receive 3 parameters are lebel, source, type of image for input
     outputs=[gr.Image(label="Processed Image"), gr.Label(label="Result", num_top_classes=2)], #Receive another 3 parameters for output
     title="Hot Dog? Or Not?",