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Runtime error
Runtime error
caching and regex fix
Browse files
Utils.py
CHANGED
@@ -7,7 +7,7 @@ import streamlit as st
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from youtube_transcript_api import YouTubeTranscriptApi
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import spacy
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@st.
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def fetch_article_text(url: str):
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r = requests.get(url)
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@@ -15,13 +15,12 @@ def fetch_article_text(url: str):
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results = soup.find_all(["h1", "p"])
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text = [result.text for result in results]
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ARTICLE = " ".join(text)
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return ARTICLE
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def count_tokens(text: str):
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return len(text.split(" "))
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@st.
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def get_text_from_youtube_url(url: str):
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id = url.split("=")[1]
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@@ -74,13 +73,16 @@ def add_punctuation(text: str):
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def get_input_chunks(text: str, max_length: int = 500):
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try:
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sentences = sent_tokenize(text)
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except:
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nltk.download('punkt')
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sentences = sent_tokenize(text)
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sentences = [
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input_chunks = []
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temp_sentences = ""
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from youtube_transcript_api import YouTubeTranscriptApi
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import spacy
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@st.cache
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def fetch_article_text(url: str):
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r = requests.get(url)
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results = soup.find_all(["h1", "p"])
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text = [result.text for result in results]
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ARTICLE = " ".join(text)
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return re.sub(r'\[\d+\]', '', ARTICLE)
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def count_tokens(text: str):
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return len(text.split(" "))
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@st.cache
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def get_text_from_youtube_url(url: str):
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id = url.split("=")[1]
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def get_input_chunks(text: str, max_length: int = 500):
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text = re.sub(r'\[\d+\]', '', text)
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try:
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sentences = sent_tokenize(text)
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except:
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nltk.download('punkt')
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sentences = sent_tokenize(text)
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sentences = [sentence for sentence in sentences if len(sentence.strip()) > 0 and count_tokens(sentence) > 4]
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input_chunks = []
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temp_sentences = ""
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