Update app.py

app.py

@@ -46,7 +46,6 @@
      #   st.write("Error: Failed to transcribe audio.")
 #else:
  #   st.write("No audio recorded.")
-
 import torch
 import streamlit as st
 from audio_recorder_streamlit import audio_recorder
@@ -54,8 +53,8 @@ import numpy as np
 from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
 
 def transcribe_audio(audio_bytes):
-    processor = AutoProcessor.from_pretrained('facebook/s2t-small-librispeech-asr')
-    model = AutoModelForSpeechSeq2Seq.from_pretrained('facebook/s2t-small-librispeech-asr')
+    processor = AutoProcessor.from_pretrained("facebook/s2t-small-librispeech-asr")
+    model = AutoModelForSpeechSeq2Seq.from_pretrained("facebook/s2t-small-librispeech-asr")
 
     # Convert audio bytes to numpy array
     audio_array = np.frombuffer(audio_bytes, dtype=np.int16)