Update app.py

app.py

@@ -2,8 +2,11 @@ import gradio as gr
 import librosa
 import numpy as np
 import torch
+
 import string
 import httpx
+import inflect
+import re
 
 from transformers import SpeechT5Processor, SpeechT5ForTextToSpeech, SpeechT5HifiGan
 
@@ -18,13 +21,6 @@ speaker_embeddings = {
     "BDL": "cmu_us_bdl_arctic-wav-arctic_a0009.npy",
 }
 
-import pandas as pd
-import inflect
-import re
-from googletrans import Translator
-
-translator = Translator()
-
 def convert_number_to_words(number: float) -> str:
     p = inflect.engine()
     words = p.number_to_words(number)
@@ -63,15 +59,6 @@ def process_text(text: str) -> str:
     processed_text = ' '.join(words)
     return processed_text
 
-# Read CSV file into a pandas DataFrame
-df = pd.read_csv('AudioSet.csv')
-
-# Apply the processing function to the 'normalized_text' column
-df['normalized_text'] = df['normalized_text'].apply(process_text)
-
-# Save the updated DataFrame back to the CSV file
-df.to_csv('AudioSet.csv', index=False)
-
 replacements = [
     ("՚", "?"),
     ('՛', ""),