Update app.py

app.py

@@ -69,10 +69,6 @@ def process_and_predict(url=None,
     keypoint_radius=5
 )
 
-    # Convert the resulting visualization to a PIL Image
-    # output_image_pil = Image.fromarray(output_image.astype('uint8'), 'RGB')
-
-    # Return the PIL Image directly
     return output_image, skeleton_image
 
 # Define the Gradio interface
@@ -89,12 +85,11 @@ iface = gr.Interface(
         gr.components.Image(label="Skeleton Only")
     ],
     title="YOLO-NAS-Pose Demo",
-    title3="Upload an image, enter an image URL, or use your webcam to use a pretrained YOLO-NAS-Pose L for inference. Get more hands-on with the [starter notebook for inference](https://bit.ly/yn-pose-inference), and learn how to fine-tune your own model with the [fine-tuning notebook](https://bit.ly/yn-pose-fine-tuning).",
+    description="Upload an image, enter an image URL, or use your webcam to use a pretrained YOLO-NAS-Pose L for inference. Get more hands-on with the [starter notebook for inference](https://bit.ly/yn-pose-inference), and learn how to fine-tune your own model with the [fine-tuning notebook](https://bit.ly/yn-pose-fine-tuning).",
     live=True,
     allow_flagging=False,
     
     )
 
 # Launch the interface
-iface.launch()
-
+iface.launch()