Update app.py

app.py

@@ -46,7 +46,7 @@ labels = load_labels()
 def predict(url: str, score_threshold: float) -> tuple[dict[str, float], dict[str, float], str]:
     _, height, width, _ = model.input_shape
     response = requests.get(url)
-    img = Image.open(BytesIO(response.content))
+    image = PIL.Image.open(BytesIO(response.content))
 
     image = np.asarray(image)
     image = tf.image.resize(image, size=(height, width), method=tf.image.ResizeMethod.AREA, preserve_aspect_ratio=True)