Update app.py

Revert previous change

app.py

@@ -1,19 +1,17 @@
-import gradio as gr
-import os
+def video_identity(video):    
+    return video
 
-def video_identity(video, text):    
-    # You can use both the video and the text input in your function
-    return video, text
+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> 
+"""
 
 demo = gr.Interface(video_identity,                     
-                    [gr.Video(), gr.Textbox(label="Text 2", info="Text to compare", lines=3, value="")],                     
+                    gr.Video(),                     
                     "playable_video",                     
-                    examples=[[
-                        os.path.join(os.path.dirname(__file__), "video/test_video.mp4"),
-                        ""
-                    ]],                     
-                    cache_examples=True             
-                    )
+                    cache_examples=True)
 
 if __name__ == "__main__":    
-    demo.launch()
+    demo.launch(share=True)