init
Browse files- app.py +55 -0
- requirements.txt +2 -0
app.py
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import re
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import gradio as gr
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import requests
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from inscriptis import get_text
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from inscriptis.css_profiles import CSS_PROFILES
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from inscriptis.model.config import ParserConfig
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from readability import Document
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INSCRIPTIS_CONFIG = ParserConfig(css=CSS_PROFILES["strict"])
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def extract_text(url: str):
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html = requests.get(url).content.decode("utf-8")
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if len(html.strip()) == 0:
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return "", "", "", ""
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parsed_doc = Document(html)
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# get the body of the article with readability-lxml
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title = parsed_doc.short_title()
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clean_html = parsed_doc.summary(html_partial=True)
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del parsed_doc
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# get the formatted plaintext with inscriptis
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text = get_text(clean_html, INSCRIPTIS_CONFIG).strip()
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if not re.search(r"\w+", text):
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# no words found, only whitespace and punctuation
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return title, "", clean_html, html
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# remove excessive empty lines
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text = re.sub(r"\n\s*\n", "\n\n", text)
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return title, text, clean_html, html
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title = gr.Textbox(label="Title")
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text = gr.Textbox(label="Text", lines=10)
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clean_html = gr.Textbox(label="Clean HTML", lines=10)
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html = gr.Textbox(label="Raw HTML", lines=10)
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demo = gr.Interface(
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extract_text,
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gr.Textbox(placeholder="https://hf.co/", label="URL"),
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[title, text, clean_html, html],
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examples=[
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["https://huggingface.co/blog/peft"],
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[
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"https://www.nytimes.com/2023/03/08/technology/chatbots-disrupt-internet-industry.html"
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],
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],
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)
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demo.launch()
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requirements.txt
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git+https://github.com/huggingface/python-readability@speedup
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inscriptis==2.3.2
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