update

app.py

@@ -79,7 +79,7 @@ def driver_fun(audio) :
   print(f"data : {data} ")
   max_match_score = max(data)
   indx_score = data.index(max_match_score)
-  joke = max_match_score[indx_score]
+  joke = data[indx_score]
   #if translation 
   #For now only taking in English text for Bloom prompting as inference model is not high spec
   #text_generated = lang_model_response(transcribe, lang)
@@ -134,7 +134,7 @@ demo = gr.Blocks()
 with demo:
   gr.Markdown("<h1><center>AI Assistant - Voice to Joke</center></h1>")
   gr.Markdown(
-        """Model pipeline consisting of - <br>- [**Whisper**](https://github.com/openai/whisper) for Speech-to-text, <br>- [**CoquiTTS**](https://huggingface.co/coqui)  for Text-To-Speech. <br>- Front end is built using [**Gradio Block API**](https://gradio.app/docs/#blocks).<br><br>Both CoquiTTS and Whisper are Multilingual, there are several overlapping languages between them. Hence it would be suggested to test this ML-App using these two languages to get the best results</u>.<br>If you want to reuse the App, simply click on the small cross button in the top right corner of your voice record panel, and then press record again!
+        """work in porgress<br><br><br>Model pipeline consisting of - <br>- [**Whisper**](https://github.com/openai/whisper) for Speech-to-text, <br>- [**CoquiTTS**](https://huggingface.co/coqui)  for Text-To-Speech. <br>- Front end is built using [**Gradio Block API**](https://gradio.app/docs/#blocks).<br><br>Both CoquiTTS and Whisper are Multilingual, there are several overlapping languages between them. Hence it would be suggested to test this ML-App using these two languages to get the best results</u>.<br>If you want to reuse the App, simply click on the small cross button in the top right corner of your voice record panel, and then press record again!
         """)
   with gr.Row():
     with gr.Column():