Update app.py

app.py

@@ -17,14 +17,7 @@ def predict_image(img):
         im_array = r.plot()
         im = Image.fromarray(im_array[..., ::-1])
         
-        # Extract class names and confidences
-        class_names = [model.names[int(cls)] for cls in r.boxes.cls]
-        confidences = r.boxes.conf.tolist()
-        
-        # Create a formatted string of results
-        result_text = "\n".join([f"{name}: {conf:.2f}" for name, conf in zip(class_names, confidences)])
-        
-    return im, result_text
+    return im
 
 iface = gr.Interface(
     fn=predict_image,