from newspaper import Article from newspaper import Config import gradio as gr from gradio.mix import Parallel, Series def extrac_text(url): USER_AGENT = 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:78.0) Gecko/20100101 Firefox/78.0' config = Config() config.browser_user_agent = USER_AGENT config.request_timeout = 10 article = Article(url, config=config) article.download() article.parse() text = article.text return text extractor = gr.Interface(extrac_text, 'text', 'text') summarizer = gr.Interface.load("huggingface/mmcquade11/autonlp-reuters-summarization-34018133") sample_url = [['https://finance.yahoo.com/news/intuit-shares-hit-record-highs-quarter-blows-past-estimates-160822839.html'], ] desc = ''' The news summarizer app uses an AutoNLP model trained on the Reuters dataset. ''' iface = Series(extractor, summarizer, inputs = gr.inputs.Textbox( lines = 2, label = 'Enter URL below' ), outputs = 'text', title = 'News Summarizer', theme = 'grass', layout = 'horizontal', description = desc, examples=sample_url) iface.launch()