Update app.py

app.py

@@ -1,13 +1,3 @@
 import gradio as gr
 
-def predict_and_label(inp):
-    print("Warning: you need to extract a face and resize it to (224, 224) before accurate results can be achieved!")
-    iface = gr.Interface.load("models/ongkn/attraction-classifier")
-    result = iface.predict(inp)
-    # Assuming result is a dictionary with class labels as keys and probabilities as values
-    max_label = max(result, key=result.get)
-    print(max_label)
-    return result
-
-iface = gr.Interface(fn=predict_and_label, inputs=gr.inputs.Image(), outputs="label")
-iface.launch()
+gr.Interface.load("models/ongkn/attraction-classifier").launch()