update

app.py

@@ -105,18 +105,18 @@ def tts(text, language):
 
 demo = gr.Blocks()
 with demo:
-  gr.Markdown("<h1><center>Multilingual AI Assistant - Voice to Joke</center></h1>")
+  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>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!
+        """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(): 
       in_audio = gr.Audio(source="microphone",  type="filepath", label='Record your voice command here in English -')  #type='filepath'
       b1 = gr.Button("AI Response")
-      out_transcript = gr.Textbox(label= 'English/Spanish/French Transcript of your Audio using OpenAI Whisper')
+      out_transcript = gr.Textbox(label= 'Transcript of your Audio using OpenAI Whisper')
       #out_translation_en = gr.Textbox(label= 'English Translation of audio using OpenAI Whisper')
     with gr.Column():
-      out_audio = gr.Audio(label='AI response in Audio form in English language')  
+      out_audio = gr.Audio(label='Audio response form CoquiTTS')  
       #out_generated_text = gr.Textbox(label= 'AI response to your query in your preferred language using Bloom! ')
       #out_generated_text_en = gr.Textbox(label= 'AI response to your query in English using Bloom! ')