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| from newspaper import Article | |
| from newspaper import Config | |
| import nltk | |
| nltk.download('punkt') | |
| from transformers import pipeline | |
| import gradio as gr | |
| from gradio.mix import Parallel, Series | |
| def extract_article_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(extract_article_text, 'text', 'text') | |
| summarizer = gr.Interface.load("huggingface/facebook/bart-large-cnn") | |
| sample_url = [['https://parstoday.com/en/news/iran-i163822-iran_condemns_terrorist_attack_in_pakistan_reaffirms_need_to_fight_terrorism_across_region/'], | |
| ['https://parstoday.com/en/news/west_asia-i163734-ansarullah_yemenis_entitled_to_avenge_nation%E2%80%99s_sufferings_inflicted_due_to_war_siege/'], | |
| ['https://parstoday.com/en/news/west_asia-i163684-saudi_led_warplanes_intensify_airstrikes_against_yemeni_capital/']] | |
| desc = ''' | |
| Let Hugging Face models summarize articles for you. | |
| Note: Shorter articles generate faster summaries. | |
| This summarizer uses bart-large-cnn model by Facebook | |
| ''' | |
| iface = Series(extractor, summarizer, | |
| inputs = gr.inputs.Textbox( | |
| lines = 2, | |
| label = 'URL' | |
| ), | |
| outputs = 'text', | |
| title = 'News Summarizer', | |
| theme = 'huggingface', | |
| description = desc, | |
| examples=sample_url) | |
| iface.launch() |