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Runtime error
Oshchepkov
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43f8454
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Parent(s):
441212c
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app.py
CHANGED
@@ -1,43 +1,10 @@
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import streamlit as st
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import torch
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from urllib.parse import urlparse, parse_qs
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, pipeline
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# https://pypi.org/project/youtube-transcript-api/
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from youtube_transcript_api import YouTubeTranscriptApi
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Examples:
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- http://youtu.be/SA2iWivDJiE
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- http://www.youtube.com/watch?v=_oPAwA_Udwc&feature=feedu
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- http://www.youtube.com/embed/SA2iWivDJiE
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- http://www.youtube.com/v/SA2iWivDJiE?version=3&hl=en_US
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"""
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query = urlparse(url)
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if query.hostname == 'youtu.be':
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return query.path[1:]
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if query.hostname in ('www.youtube.com', 'youtube.com'):
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if query.path == '/watch':
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p = parse_qs(query.query)
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return p['v'][0]
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if query.path[:7] == '/embed/':
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return query.path.split('/')[2]
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if query.path[:3] == '/v/':
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return query.path.split('/')[2]
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return None
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def get_youtube_subtitle(video_id: str) -> str:
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try:
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parse = YouTubeTranscriptApi.get_transcript(video_id, languages=['ru'])
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result = ''
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for i in parse:
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if (i['text'][0] =='[') & (i['text'][-1] ==']'): continue
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result += ' ' + i['text']
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result = result.strip()[0].upper() + result.strip()[1:]
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return result.strip()
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except:
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return None
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device = "cuda" if torch.cuda.is_available() else "cpu"
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m_name = '/home/user/app/model'
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@@ -48,13 +15,12 @@ model.to(device)
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if __name__ == "__main__":
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st.header("Annotation of subtitles from YouTube")
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# url = st.text_input('Enter the URL of the Youtube video', 'https://www.youtube.com/watch?v=HGSVsK32rKA ')
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option = st.selectbox(
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url = st.text_input(':green[Enter your URL of the Youtube video] π', option)
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video_id = get_video_id(url)
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@@ -72,7 +38,6 @@ if __name__ == "__main__":
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return_tensors="pt",
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)["input_ids"]
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if st.button('Compute summary', help='Click me'):
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outputs = model.generate(inputs.to(device), max_new_tokens=100, do_sample=False)
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summary = tokenizer.decode(outputs[0], skip_special_tokens=True)
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import streamlit as st
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import torch
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#from urllib.parse import urlparse, parse_qs
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, pipeline
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#from youtube_transcript_api import YouTubeTranscriptApi
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from util import get_video_id, get_youtube_subtitle
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device = "cuda" if torch.cuda.is_available() else "cpu"
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m_name = '/home/user/app/model'
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if __name__ == "__main__":
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st.header("Annotation of subtitles from YouTube")
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option = st.selectbox(
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'Video for example:',
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('https://www.youtube.com/watch?v=HGSVsK32rKA',
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'https://www.youtube.com/watch?v=fSpARfZ3I50',
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'https://www.youtube.com/watch?v=3lEMopaRSjw')
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)
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url = st.text_input(':green[Enter your URL of the Youtube video] π', option)
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video_id = get_video_id(url)
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return_tensors="pt",
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)["input_ids"]
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if st.button('Compute summary', help='Click me'):
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outputs = model.generate(inputs.to(device), max_new_tokens=100, do_sample=False)
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summary = tokenizer.decode(outputs[0], skip_special_tokens=True)
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util.py
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from urllib.parse import urlparse, parse_qs
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from youtube_transcript_api import YouTubeTranscriptApi
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def get_video_id(url: str) -> str:
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"""
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Examples:
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- http://youtu.be/SA2iWivDJiE
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- http://www.youtube.com/watch?v=_oPAwA_Udwc&feature=feedu
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- http://www.youtube.com/embed/SA2iWivDJiE
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- http://www.youtube.com/v/SA2iWivDJiE?version=3&hl=en_US
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"""
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query = urlparse(url)
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if query.hostname == 'youtu.be':
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return query.path[1:]
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if query.hostname in ('www.youtube.com', 'youtube.com'):
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if query.path == '/watch':
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p = parse_qs(query.query)
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return p['v'][0]
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if query.path[:7] == '/embed/':
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return query.path.split('/')[2]
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if query.path[:3] == '/v/':
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return query.path.split('/')[2]
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return None
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def get_youtube_subtitle(video_id: str) -> str:
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try:
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parse = YouTubeTranscriptApi.get_transcript(video_id, languages=['ru'])
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result = ''
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for i in parse:
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if (i['text'][0] =='[') & (i['text'][-1] ==']'): continue
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result += ' ' + i['text']
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result = result.strip()[0].upper() + result.strip()[1:]
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return result.strip()
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except:
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return None
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