Update app.py

app.py

@@ -41,9 +41,12 @@ def load_labels() -> list[str]:
 model = load_model()
 labels = load_labels()
 
-
-def predict(image: PIL.Image.Image, score_threshold: float) -> tuple[dict[str, float], dict[str, float], str]:
+#PIL.Image.Image
+def predict(image: str, score_threshold: float) -> tuple[dict[str, float], dict[str, float], str]:
     _, height, width, _ = model.input_shape
+    response = requests.get(image)
+    image = 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)
     image = image.numpy()