momentarly disabled error correction codes

app.py

@@ -29,13 +29,13 @@ def run_prediction(image: gr.Image, selected_model: str)-> tuple[torch.Tensor]:
     
     if selected_model is None:
         return (gr.update(value=None, visible=False),  gr.update(value=f"❌ No model selected for prediction.", visible=True))
-    try:
-        model = loadModel(selected_model, device) 
-        image = hfImageToTensor(image, width=1024, height=512)
-        prediction = predict(image, model)
-        prediction = postprocessing(prediction)
-    except Exception as e:
-            return (gr.update(value=None, visible=False),  gr.update(value=f"❌ {str(e)}.", visible=True))
+    # try:
+    model = loadModel(selected_model, device) 
+    image = hfImageToTensor(image, width=1024, height=512)
+    prediction = predict(image, model)
+    prediction = postprocessing(prediction)
+    # except Exception as e:
+    # return (gr.update(value=None, visible=False),  gr.update(value=f"❌ {str(e)}.", visible=True))
     return (gr.update(value=prediction, visible=True), gr.update(value="", visible=False))
 
 # Gradio UI