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import gradio as gr | |
import json | |
import requests | |
from newspaper import Article | |
from gradio.mix import Parallel, Series | |
def get_news(search): | |
#article_texts=[] | |
url = "https://free-news.p.rapidapi.com/v1/search" | |
querystring = {"q":search,"lang":"en", "page":1, "page_size":5} | |
headers = {'x-rapidapi-host': "free-news.p.rapidapi.com",'x-rapidapi-key': "375ffbaab0mshb442ffb69d6f025p117ba0jsn01e8146148e3"} | |
response = requests.request("GET", url, headers=headers, params=querystring) | |
response_dict = json.loads(response.text) | |
links = [response_dict['articles'][i]['link'] for i in range(len(response_dict['articles']))] | |
news_article = Article(links[0], language='en') | |
news_article.download() | |
news_article.parse() | |
#article_texts.append(news_article.text) | |
return news_article.text | |
extractor = gr.Interface(get_news, 'text', 'text') | |
summarizer = gr.Interface.load("huggingface/facebook/bart-large-cnn") | |
iface = Series(extractor, summarizer, | |
inputs = gr.inputs.Textbox( | |
label = 'Type in a topic or your favorite celebrity name to fetch news on that topic/celebrity name' | |
), | |
outputs = 'text', | |
title = 'Instant short News app with Gradio', | |
theme = 'peach', | |
layout = 'horizontal', | |
description = 'This app fetches a latest news article from the Internet based on the given search and displays a summary of that article') | |
iface.launch(debug=True) | |