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Running
File size: 764 Bytes
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import streamlit as st # type: ignore
import os
import pandas as pd
import collections
from ast import literal_eval
from translate_app import tr
if st.session_state.Cloud == 0:
import contextlib
import warnings
warnings.filterwarnings('ignore')
# from PIL import Image
# import time
# import random
title = "Speech 2 Text"
sidebar_name = "Speech 2 Text"
dataPath = st.session_state.DataPath
def run():
global max_lines, first_line, last_line, lemmatize_to_do, stopwords_to_do
global full_txt_en, full_txt_split_en, full_txt_lem_en, full_txt_wo_stopword_en, full_df_count_word_en
global full_txt_fr, full_txt_split_fr, full_txt_lem_fr, full_txt_wo_stopword_fr, full_df_count_word_fr
st.write("")
st.title(tr(title))
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