Update app.py

app.py

@@ -75,17 +75,13 @@ def fetch_btc_news() -> List[Dict[str, str]]:
 @tool
 def analyze_btc_news(articles: List[Dict[str, str]]) -> Dict[str, Any]:
     """
-    Analyzes the sentiment of Bitcoin news articles using TextBlob.
+    Analyzes the sentiment of Bitcoin news articles.
 
-    :param articles: A list of dictionaries representing Bitcoin news articles.
-                     Each dictionary must include the following keys:
-                       - 'title': The title of the article.
-                       - 'url': The URL of the article.
-    :return: A dictionary containing:
-             - 'sentiment_score': The average sentiment polarity of the article titles.
-             - 'sentiment_label': A label ("Positive 😊", "Negative 😡", or "Neutral 😐")
-                                  based on the sentiment score.
-             - 'keywords': A list of keywords extracted from the article titles.
+    :param articles: A list of dictionaries, each with keys 'title' and 'url' representing a news article.
+    :return: A dictionary with the sentiment analysis results, including:
+             - 'sentiment_score': The average sentiment polarity.
+             - 'sentiment_label': A label ("Positive 😊", "Negative 😡", or "Neutral 😐") based on the score.
+             - 'keywords': A list of keywords extracted from the titles.
     """
     sentiments = [TextBlob(article["title"]).sentiment.polarity for article in articles]
     avg_sentiment = np.mean(sentiments) if sentiments else 0