Update app.py

app.py

@@ -18,7 +18,7 @@ def predict_image(image_input):
     model = YOLO("best.pt")
     #run predict
     outputs = model.predict(source=image_input)
-    results = output[0].cpu().numpy()
+    results = outputs[0].cpu().numpy()
 
     for i, det in enumerate(results.boxes.xyxy):
            cv2.rectangle(image, (int(det[0]), int(det[1])), (int(det[2]), int(det[3])), color=(0, 0, 255), thickness=2, lineType=cv2.Line_AA)