Update app.py

app.py

@@ -368,20 +368,17 @@ with demo:
 
         with gr.Row():
             gr.Markdown('''
-            ### Transcribe youtube link using OpenAI Whisper
-            ##### 1. Using Open AI's Whisper model to seperate audio into segments and generate transcripts.
-            ##### 2. Generating speaker embeddings for each segments.
-            ##### 3. Applying agglomerative clustering on the embeddings to identify the speaker for each segment.
+            
             ''')
             
         with gr.Row():         
             gr.Markdown('''
-                ### You can test by following examples:
+                
                 ''')
         examples = gr.Examples(examples=
-                [ "https://www.youtube.com/watch?v=j7BfEzAFuYc&t=32s", 
-                  "https://www.youtube.com/watch?v=-UX0X45sYe4", 
-                  "https://www.youtube.com/watch?v=7minSgqi-Gw"],
+                [ "", 
+                  "", 
+                  ""],
               label="Examples", inputs=[youtube_url_in])
               
 
@@ -412,7 +409,7 @@ with demo:
                 
         with gr.Row():
             gr.Markdown('''
-            ##### Here you will get transcription  output
+            ##### 
             ##### ''')