updated app.py

app.py

@@ -2,7 +2,7 @@ import streamlit as st
 from pytube import YouTube
 from moviepy.editor import *
 import torch
-from transformers import Wav2Vec2ForCTC, Wav2Vec2Tokenizer
+from transformers import Wav2Vec2ForCTC, Wav2Vec2CTCTokenizer
 from transformers import pipeline
 import librosa
 
@@ -33,8 +33,8 @@ if st.button('Summarize'):
                 # Show progress
                 st.progress(50)
 
-                # Speech to Text
-                tokenizer = Wav2Vec2Tokenizer.from_pretrained("facebook/wav2vec2-base-960h")
+                # Speech to Text using the corrected tokenizer
+                tokenizer = Wav2Vec2CTCTokenizer.from_pretrained("facebook/wav2vec2-base-960h")
                 model = Wav2Vec2ForCTC.from_pretrained("facebook/wav2vec2-base-960h")
                 
                 # Load and process the audio
@@ -63,4 +63,3 @@ if st.button('Summarize'):
 
             except Exception as e:
                 st.error(f"An error occurred: {e}")
-