Update app.py

app.py

@@ -1,7 +1,7 @@
 import os
 import streamlit as st
 from groq import Groq
-from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
+from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq, pipeline
 from espnet2.bin.tts_inference import Text2Speech
 import soundfile as sf
 from pydub import AudioSegment
@@ -21,7 +21,7 @@ if not GROQ_API_KEY:
 groq_client = Groq(api_key=GROQ_API_KEY)
 
 # Load models
-@st.cache(allow_output_mutation=True)
+@st.cache_resource  # Use st.cache_resource for caching models
 def load_models():
     # Speech-to-Text
     processor = AutoProcessor.from_pretrained("openai/whisper-small")