reverting from AutoProcessor to Wav2Vec2Processor

app.py

@@ -3,12 +3,12 @@ import librosa
 import torch
 import gradio as gr
 from pyctcdecode import build_ctcdecoder
-from transformers import AutoProcessor, AutoModelForCTC
+from transformers import Wav2Vec2Processor, AutoModelForCTC
 
 nltk.download("punkt")
 
 def return_processor_and_model(model_name):
-    return AutoProcessor.from_pretrained(model_name), AutoModelForCTC.from_pretrained(model_name)
+    return Wav2Vec2Processor.from_pretrained(model_name), AutoModelForCTC.from_pretrained(model_name)
 
 def load_and_fix_data(input_file):  
   #read the file