Update app.py

app.py

@@ -140,7 +140,7 @@ with gr.Blocks() as iface:
                             MediaPipe Pose is a versatile machine learning library designed for high-accuracy real-time posture estimation. Mediapipe Pose uses a deep learning model to detect body landmarks and infer body posture.
                             
                             - **Real-Time Performance**: Capable of processing video frames at real-time speeds, making it suitable for live video analysis.
-                            - **Accuracy and Precision**: Detects 33 body landmarks, including important joints and key points, enabling detailed posture and movement analysis.
+                            - **Accuracy and Precision**: Detects body landmarks, including important joints and key points, enabling detailed posture and movement analysis.
                             - **Integration**: Easily integrates with other machine learning frameworks and tools, enhancing its versatility for various applications.
                             
                             ## Voice Analysis
@@ -225,16 +225,18 @@ with gr.Blocks() as iface:
         outputs=results_group
     )
     
-    example_video_1.click(
-    lambda: "appendix/Bill Clinton and Jim Lehrer.mp4",
-    None,
-    video_input,
+    example_btn_1.click(
+        set_video_path,
+        inputs=[],
+        outputs=[video_input],
+        _js="() => 'appendix/Bill Clinton and Jim Lehrer.mp4'"
     )
 
-    example_video_2.click(
-    lambda: "appendix/Wade_Wilson_Penalty_Phase_Trial.mp4",
-    None,
-    video_input,
+    example_btn_2.click(
+        set_video_path,
+        inputs=[],
+        outputs=[video_input],
+        _js="() => 'appendix/Wade_Wilson_Penalty_Phase_Trial.mp4'"
     )
 
 if __name__ == "__main__":