use whisper-large-v3-turbo

app.py

@@ -24,7 +24,7 @@ def transcribe_audio(audio, api_key):
     try:
         # Use Distil-Whisper English powered by Groq for transcription
         completion = client.audio.transcriptions.create(
-            model="distil-whisper-large-v3-en",
+            model="whisper-large-v3-turbo",
             file=("audio.wav", buffer),
             response_format="text"
         )
@@ -41,7 +41,7 @@ def generate_response(transcription, api_key):
     try:
         # Use Llama 3 70B powered by Groq for text generation
         completion = client.chat.completions.create(
-            model="llama3-70b-8192",
+            model="llama-3.1-8b-instant",
             messages=[
                 {"role": "system", "content": "You are a helpful assistant."},
                 {"role": "user", "content": transcription}