Update app.py

app.py

@@ -345,16 +345,15 @@ def create_ui(input_audio_max_duration, share=False, server_name: str = None, se
     ui.set_parallel_devices(vad_parallel_devices)
     ui.set_auto_parallel(auto_parallel)
 
-    # ui_description = "Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse " 
-    # ui_description += " audio and is also a multi-task model that can perform multilingual speech recognition "
-    # ui_description += " as well as speech translation and language identification. "
-
-    # ui_description += "\n\n\n\nFor longer audio files (>10 minutes) not in English, it is recommended that you select Silero VAD (Voice Activity Detector) in the VAD option."
+    ui_description = "Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse " 
+    ui_description += " audio and is also a multi-task model that can perform multilingual speech recognition "
+    ui_description += " as well as speech translation and language identification. "
+    ui_description += "\n\n\n\nFor longer audio files (>10 minutes) not in English, it is recommended that you select Silero VAD (Voice Activity Detector) in the VAD option."
 
     if input_audio_max_duration > 0:
         ui_description += "\n\n" + "Max audio file length: " + str(input_audio_max_duration) + " s"
 
-    ui_article = "Read the [documentation here](https://gitlab.com/aadnk/whisper-webui/-/blob/main/docs/options.md)"
+    # ui_article = "Read the [documentation here](https://gitlab.com/aadnk/whisper-webui/-/blob/main/docs/options.md)"
 
     demo = gr.Interface(fn=ui.transcribe_webui, description=ui_description, article=ui_article, inputs=[
         gr.Dropdown(choices=WHISPER_MODELS, value=default_model_name, label="Model"),