Update app.py

app.py

@@ -1,4 +1,5 @@
 import gradio as gr
+import streamlit as st
 import numpy as np
 from transformers.file_utils import cached_path, hf_bucket_url
 import os
@@ -9,8 +10,8 @@ import kenlm
 import torchaudio
 
 cache_dir = './cache/'
-processor = Wav2Vec2ProcessorWithLM.from_pretrained("ahmedJaafari/Annarabic3.2", cache_dir=cache_dir, use_auth_token="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")
-model = AutoModelForCTC.from_pretrained("ahmedJaafari/Annarabic3.2", cache_dir=cache_dir, use_auth_token="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")
+processor = Wav2Vec2ProcessorWithLM.from_pretrained("ahmedJaafari/Annarabic3.2", cache_dir=cache_dir, use_auth_token=st.secrets["AnnarabicToken"])
+model = AutoModelForCTC.from_pretrained("ahmedJaafari/Annarabic3.2", cache_dir=cache_dir, use_auth_token=st.secrets["AnnarabicToken"])
 
 # define function to read in sound file
 def speech_file_to_array_fn(path, max_seconds=10):