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from bs4 import BeautifulSoup
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import requests
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from transformers import pipeline
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from gtts import gTTS
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def scrape_news(company_name):
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url = f"https://news.google.com/search?q={company_name}"
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response = requests.get(url)
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soup = BeautifulSoup(response.text, 'html.parser')
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articles = []
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for item in soup.find_all('article')[:10]:
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title = item.find('a', class_='DY5T1d').text
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link = "https://news.google.com" + item.find('a', class_='DY5T1d')['href']
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summary = item.find('div', class_='xBbh9').text if item.find('div', class_='xBbh9') else ""
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articles.append({"title": title, "link": link, "summary": summary})
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return articles
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def analyze_sentiment(text):
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sentiment_pipeline = pipeline("sentiment-analysis")
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result = sentiment_pipeline(text)[0]
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return result['label']
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def comparative_analysis(articles):
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sentiment_counts = {"Positive": 0, "Negative": 0, "Neutral": 0}
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for article in articles:
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sentiment_counts[article["sentiment"]] += 1
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return sentiment_counts
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def generate_hindi_tts(text, filename="output.mp3"):
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tts = gTTS(text, lang='hi')
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tts.save(filename)
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return filename
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