Update app.py

app.py

@@ -7,17 +7,21 @@ import numpy as np
 
 model = YOLO('best (1).pt')
 
+ # for i, r in enumerate(results):
+      
+ #    # Plot results image
+ #      im_bgr = r.plot()  
+ #      im_rgb = im_bgr[..., ::-1]  # Convert BGR to RGB
+
 def response(image):
   print(image)
   results = model(image)
   text=""  
-  for i, r in enumerate(results):
+  for r in results:
       
       conf = results.boxes.conf
       cls = results.boxes.cls
-    # Plot results image
-      im_bgr = r.plot()  
-      im_rgb = im_bgr[..., ::-1]  # Convert BGR to RGB
+  
       text += f"Detected {cls} with confidence {conf} at \n"
         
     # im_rgb = Image.fromarray(im_rgb)