Improving readability of app.py

app.py

@@ -2,16 +2,13 @@ import streamlit as st
 from audio_recorder_streamlit import audio_recorder
 from groq import Groq
 import os
-from dotenv import load_dotenv
 from langchain_groq import ChatGroq
 from langchain_core.output_parsers import StrOutputParser
 from langchain_core.prompts import ChatPromptTemplate
 import edge_tts
 import asyncio
-
+from dotenv import load_dotenv
 load_dotenv()
-client = Groq(api_key=os.getenv('GROQ_API_KEY'))
-model = 'whisper-large-v3'
 
 #Front end using streamlit
 def frontend():
@@ -48,6 +45,7 @@ def data_to_file(recorded_audio):
 
 #Function for audio to text
 def audio_to_text(audio_path):
+    client = Groq(api_key=os.getenv('GROQ_API_KEY'))
     with open(audio_path, 'rb') as file:
         transcription = client.audio.translations.create(
             file=(audio_path, file.read()),
@@ -76,7 +74,8 @@ def answer(user_question):
 # Audio conversion
 async def convert_audio(text):
     filename = "output.mp3"
-    communicte = edge_tts.Communicate(text, "en-IN-NeerjaNeural")
+    voice = "fr-FR-VivienneMultilingualNeural"
+    communicte = edge_tts.Communicate(text, voice)
     await communicte.save(filename)
 
 frontend()