fixed gradio interface

app.py

@@ -12,14 +12,19 @@ model.load_state_dict(state_dict)
 model.eval()
 
 def predict(inp):
+    print("***********Inference****************")
     res = inference_img(model, inp) 
-
+    print("***********Inference finish****************")
+    
     return res
 
+print("MODEL LOADED")
+print("************************************")
 
-gr.Interface(fn=predict, 
+iface = gr.Interface(fn=predict, 
              inputs=gr.Image(type="numpy"),
              outputs=gr.Image(type="numpy"),
-             examples=["./logo.jpeg"]).launch(share=True)
+             examples=["./logo.jpeg"])
+print("****************Interface created******************")
 
 iface.launch()