Update app.py

app.py

@@ -49,8 +49,8 @@ example_images = ["healthy.jpg", "unhealthy.jpg"]
 interface = gr.Interface(fn=predict, 
                          inputs="image", 
                          outputs=[gr.Textbox(label="Prediction"), gr.Textbox(label="Confidence")],
-                         title="Healthy vs Unhealthy Rice Plant Classifier",
-                         description="Upload a rice plant image to classify either it is healthy or unhealthy.",
+                         title="Sheath Rot Disease Detection in Rice",
+                         description="This AI-powered interface utilizes a Convolutional Neural Network (CNN) model to detect sheath rot disease in rice plants. By analyzing uploaded images of rice crops, the model classifies them as either healthy or infected with sheath rot disease. This tool aims to support farmers and agronomists in early disease detection, allowing for timely intervention and improved crop management. Simply upload a rice plant image to get an instant diagnosis and help safeguard your yield from disease-related losses.",
                          examples=example_images 
                         )