Update app.py

app.py

@@ -1,22 +1,19 @@
 import gradio as gr
 import os
 
-def video_identity(video):    
-    return video
-
-instructions = """
-<b>Instructions:</b><br>
-Step 1: Upload the example video to get the relevant timeframes that require haptics, the text query should be 'explosion'  <a href="https://portal.vision.cognitive.azure.com/demo/video-summary-and-frame-locator">Azure Cognitive Services Video Summary and Frame Locator</a> with explosions as the query.<br>
-Step 2: Download the generated audio from <a href="https://phonebrrdemonstration2.blob.core.windows.net/audio3second0001/3_second_explosion_00001.flac">this ai-generated haptic audio</a>.
-Step 3: Mix the Audio using any app of your choice and master the audio with <a href="https://aimastering.com/">ai-mastering program</a> 
-"""
+def video_identity(video, text):    
+    # You can use both the video and the text input in your function
+    return video, text
 
 demo = gr.Interface(video_identity,                     
-                    gr.Video(),                     
+                    [gr.Video(), gr.Textbox(label="Text 2", info="Text to compare", lines=3, value="")],                     
                     "playable_video",                     
-                    examples=[os.path.join(os.path.dirname(__file__),                                      
-                                     "video/test_video.mp4")],                     
-                    cache_examples=True)
+                    examples=[[
+                        os.path.join(os.path.dirname(__file__), "video/test_video.mp4"),
+                        ""
+                    ]],                     
+                    cache_examples=True             
+                    )
 
 if __name__ == "__main__":    
-    demo.launch(share=True)
+    demo.launch()