Delete app_v2.py

app_v2.py

@@ -1,85 +0,0 @@
-# -*- coding: utf-8 -*-
-"""
-Created on Mon Mar 28 01:04:50 2022
-
-@author: adeep
-"""
-from fnmatch import translate
-import cv2 as cv
-import tempfile
-import numpy as np
-import pandas as pd
-import streamlit as st 
-import joblib
-import os
-from moviepy.editor import VideoFileClip
-import speech_recognition as sr
-from pydub import AudioSegment
-from pydub.silence import split_on_silence
-import transformers
-from transformers import pipeline
-import nltk
-nltk.download('punkt')
-nltk.download('averaged_perceptron_tagger')
-import nltk
-nltk.download('punkt')
-nltk.download('averaged_perceptron_tagger')
-from nltk.tokenize import sent_tokenize
-import re
-from utils import get_translation, welcome, get_large_audio_transcription
-
-from PIL import Image
-
-
-def main():
- 
-    
-    st.title("Summarize Text")
-    video = st.file_uploader("Choose a file", type=['mp4'])
-    button = st.button("Summarize")
-    
-    max = st.sidebar.slider('Select max', 50, 500, step=10, value=150)
-    min = st.sidebar.slider('Select min', 10, 450, step=10, value=50)
-
-    with st.spinner("Generating Summary.."):
-    
-        if button and video:
-            tfile = tempfile.NamedTemporaryFile(delete=False)
-            tfile.write(video.read())
-            #st.write(tfile.name)
-            v = VideoFileClip(tfile.name)
-            v.audio.write_audiofile("movie.wav")
-            #st.video(video, format="video/mp4", start_time=0)
-            st.audio("movie.wav")
-            whole_text=get_large_audio_transcription("movie.wav")
-            #st.write(whole_text)
-            #summarizer = pipeline("summarization")
-            summarizer = pipeline("summarization", model="t5-base", tokenizer="t5-base", framework="pt")
-            summarized = summarizer(whole_text, min_length=75, max_length=400)
-            summ=summarized[0]['summary_text']
-            st.write(summ) 
-
-            if 'summary' not in st.session_state:
-                st.session_state.summary=True
-                st.session_state.summarization = summ
-
-
-    translate = st.sidebar.radio('Do you want to translate the text to any different language?', ('No', 'Yes'))
-
-    if translate == 'Yes':
-        lang_list  = ['Hindi', 'Marathi', 'Malayalam', 'Kannada', 'Telugu', 'Tamil', 'Oriya', 'Bengali', 'Gujarati', 'Urdu']
-    
-        s_type = st.sidebar.selectbox('Select the Language in which you want to Translate:',lang_list) 
-        st.sidebar.write('You selected:', s_type)
-
-        if 'summary' in st.session_state:
-            summarized_text = st.session_state.summarization
-            st.write(summarized_text)
-        translation = get_translation(source='English', dest=s_type, text=summarized_text)
-
-        st.sidebar.write(translation)
-
-             
-if __name__ == '__main__':
-    
-    main()