Remove hyperlinks from social media section, keep plain text only

app.py

@@ -13,7 +13,6 @@ models = {
     "yolov10x": YOLO("jameslahm/yolov10x"),
 }
 
-
 @spaces.GPU(duration=30)
 def yolov10_inference(image, model_id, image_size, conf_threshold, iou_threshold):
     model = models[model_id]
@@ -26,7 +25,6 @@ def yolov10_inference(image, model_id, image_size, conf_threshold, iou_threshold
     annotated_image = results[0].plot()
     return Image.fromarray(annotated_image[..., ::-1])
 
-
 def app():
     with gr.Blocks():
         with gr.Row():
@@ -70,81 +68,6 @@ def app():
             with gr.Column():
                 output_image = gr.Image(type="pil", label="Annotated Image")
 
-        gr.Examples(
-            examples=[
-                ["dog.jpeg", "yolov10m", 640, 0.25, 0.45],
-                ["huggingface.jpg", "yolov10m", 640, 0.25, 0.45],
-                ["zidane.jpg", "yolov10m", 640, 0.25, 0.45],
-            ],
-            fn=yolov10_inference,
-            inputs=[image, model_id, image_size, conf_threshold, iou_threshold],
-            outputs=[output_image],
-            cache_examples='lazy',
-        )
-
-        yolov10_infer.click(
-            fn=yolov10_inference,
-            inputs=[image, model_id, image_size, conf_threshold, iou_threshold],
-            outputs=[output_image],
-        )
-
-
-gradio_app = gr.Blocks()
-with gradio_app:
-    gr.HTML(
-        """
-    <h1 style='text-align: center'>
-    YOLOv10: Real-Time End-to-End Object Detection
-    </h1>
-    """)
-    gr.HTML(
-        """
-       <h3 style='text-align: center'>
-       Follow me for more!
-       <a href='https://twitter.com/kadirnar_ai' target='_blank'>Twitter</a> | <a href='https://github.com/kadirnar' target='_blank'>Github</a> | <a href='https://www.linkedin.com/in/kadir-nar/' target='_blank'>Linkedin</a>  | <a href='https://www.huggingface.co/kadirnar/' target='_blank'>HuggingFace</a>
-       </h3>
-       """)
-    with gr.Row():
-        with gr.Column():
-            image = gr.Image(type="pil", label="Image")
-            model_id = gr.Dropdown(
-                label="Model",
-                choices=[
-                    "yolov10n",
-                    "yolov10s",
-                    "yolov10m",
-                    "yolov10b",
-                    "yolov10l",
-                    "yolov10x",
-                ],
-                value="yolov10m",
-            )
-            image_size = gr.Slider(
-                label="Image Size",
-                minimum=320,
-                maximum=1280,
-                step=32,
-                value=640,
-            )
-            conf_threshold = gr.Slider(
-                label="Confidence Threshold",
-                minimum=0.0,
-                maximum=1.0,
-                step=0.05,
-                value=0.25,
-            )
-            iou_threshold = gr.Slider(
-                label="IoU Threshold",
-                minimum=0.0,
-                maximum=1.0,
-                step=0.05,
-                value=0.45,
-            )
-            yolov10_infer = gr.Button(value="Detect Objects")
-
-        with gr.Column():
-            output_image = gr.Image(type="pil", label="Annotated Image")
-
     gr.Examples(
         examples=[
             ["dog.jpeg", "yolov10m", 640, 0.25, 0.45],
@@ -163,5 +86,41 @@ with gradio_app:
         outputs=[output_image],
     )
 
+gradio_app = gr.Blocks()
+
+with gradio_app:
+    with gr.Row():
+        with gr.Column():
+            gr.HTML(
+                """
+            <h1 style='text-align: center'>
+            YOLOv10: Real-Time End-to-End Object Detection
+            </h1>
+            """
+            )
+            gr.HTML(
+                """
+                <h3 style='text-align: center'>
+                <a href='https://arxiv.org/abs/2405.14458' target='_blank'>arXiv</a> | <a href='https://github.com/THU-MIG/yolov10' target='_blank'>github</a>
+                </h3>
+                """
+            )
+            gr.HTML(
+                """
+            <h3 style='text-align: center'>
+            Follow me for more!
+            </h3>
+            """
+            )
+            gr.HTML(
+                """
+                <div style='text-align: center;'>
+                Twitter | Github | Linkedin | HuggingFace
+                </div>
+                """
+            )
+
+    app()
+
 if __name__ == "__main__":
     gradio_app.launch()