Update utils.py

utils.py

@@ -12,7 +12,7 @@ from gtts import gTTS
 import os
 import platform
 
-# Download required NLTK data files (if not already available).
+# Download required NLTK data files.
 nltk.download('vader_lexicon')
 
 nltk.download('averaged_perceptron_tagger')
@@ -21,7 +21,6 @@ nltk.download('stopwords')
 def get_bing_news_articles(company_name, num_articles=10):
     """
     Scrapes Bing News search results for a given company name.
-    Returns a list of articles with metadata: title, summary, URL, and source.
     """
     query = company_name.replace(" ", "+")
     url = f"https://www.bing.com/news/search?q={query}&FORM=HDRSC6"
@@ -86,10 +85,6 @@ def extract_topics(text):
 def comparative_analysis(articles):
     """
     Performs comparative analysis across articles.
-    Returns a dictionary with:
-      - Sentiment Distribution: Count of articles per sentiment.
-      - Coverage Differences: Insights based on keyword presence.
-      - Topic Overlap: Common topics and unique topics per article.
     """
     sentiment_distribution = {"Positive": 0, "Negative": 0, "Neutral": 0}
     sales_keywords = {"sales", "growth", "record", "profit"}