Update app.py

app.py

@@ -50,7 +50,6 @@ def load_model(model_path):
     model.load_state_dict(new_state_dict, strict=False)
     model.eval()
     return model
-
     except Exception as e:
         logging.error(f"Failed to load model: {e}")
         raise
@@ -104,7 +103,7 @@ demo = gr.Interface(
     fn=predict_from_image_url,
     inputs="text",
     outputs="json",
-    title="Crop anomaly Classification",
+    title="Maize Disease Classification",
     description="Enter a URL to an image for classification (Fall Army Worm, Phosphorus Deficiency, or Bacterial Leaf Blight).",
 )