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