Update app.py

app.py

@@ -19,8 +19,9 @@ def predict(img):
         cropped_face = img[y : y + h, x : x + w]
         # Convert the cropped image to a PIL image
         pil_image = Image.fromarray(cv2.cvtColor(cropped_face, cv2.COLOR_BGR2RGB))
-    pred = model(pil_image)
-    return {o["label"]: o["score"] for o in pred}
+        pred = model(pil_image)
+        return {o["label"]: o["score"] for o in pred}
+    return RuntimeError("No faces detected.")
 
 
 demo = gr.Interface(