fix(gradio): fix type in input'

app.py

@@ -23,10 +23,11 @@ def predict(input_img) -> tuple[np.ndarray | PIL.Image.Image | str, list[tuple[n
 
 gradio_app = gr.Interface(
     predict,
-    inputs=gr.Image(label="Update your watermaked image", sources=['upload'], type="pil"),
+    inputs=gr.Image(label="Upload your watermaked image", sources=['upload'], type="pil"),
     # output displays the image with the bounding boxes
     outputs=gr.AnnotatedImage(),
     title="Detect Watermark in Images",
+    description="This demo use a YoloV8 Nano model from Ultralytics, fine-tuned on the PITA Dataset for watermarked images",
     examples=[
         os.path.join(os.path.dirname(__file__), "samples/example_text1.jpg"),
         os.path.join(os.path.dirname(__file__), "samples/example_text2.jpg"),