Update app.py

app.py

@@ -111,7 +111,7 @@ def main():
             st.write(f"Fruits Quality Classification:  {predicted_quality}")
 
             if predicted_name.lower() in ["kaki", "tomato", "strawberry", "peeper", "pear", "peach", "papaya", "watermelon", "grape", "banana", "cucumber"] and predicted_quality in ["Mild", "Rotten"]:
-                st.write("Passing the image to Mask Segmentation of Defective Region of Fruit.")
+                st.write("Segmentation of Defective Region of Fruit.")
                 try:
                     predictor, cfg = load_detectron_model(predicted_name)
                     outputs = predictor(cv2.cvtColor(np.array(img), cv2.COLOR_RGB2BGR))