update audio button

app.py

@@ -166,8 +166,8 @@ with demo:
         """Model pipeline consisting of - <br>- [**Whisper**](https://github.com/openai/whisper)for Speech-to-text, <br>- [**Bloom**](https://huggingface.co/bigscience/bloom) for Text-generation, and <br>- [**CoquiTTS**](https://huggingface.co/coqui) for Text-To-Speech. <br><br> Front end is built using [**Gradio Block API**](https://gradio.app/docs/#blocks).<br>All three models are Multilingual, however, there are only these three overlapping languages among them - <u>Spanish (es), French(fr), and English(en). Hence it would be suggested to test this ML-App using these three languages to get the best results</u>. If an English voice input is given then both the textbox on the left-hand side would show the same transcripts. However, if the input is either in _Spanish_ or _French_, then the first textbox would show the language transcript, while the next one would show its English translations.<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 here in English, Spanish or French for best results-')  #type='filepath'
+    with gr.Column(): 
+      in_audio = gr.Audio(source="microphone",  type="filepath", streaming=True, label='Record your voice here in English, Spanish or French for best results-')  #type='filepath'
       b1 = gr.Button("AI response pipeline (Whisper - Bloom - Coqui pipeline)")
       out_transcript = gr.Textbox(label= 'English/Spanish/French Transcript of your Audio using OpenAI Whisper')
       out_translation_en = gr.Textbox(label= 'English Translation of audio using OpenAI Whisper')