Update app.py

app.py

@@ -63,7 +63,7 @@ def fetch_btc_news() -> List[Dict[str, str]]:
     
 ### 🔹 2. Analyze News Sentiment ###
 @tool
-def analyze_btc_news(articles):
+def analyze_btc_news(articles: List[Dict[str, str]]) -> Dict[str, any]:
     """
     Analyzes sentiment of Bitcoin news articles using TextBlob.
     """
@@ -71,12 +71,16 @@ def analyze_btc_news(articles):
     avg_sentiment = np.mean(sentiments) if sentiments else 0
     sentiment_label = "Positive 😊" if avg_sentiment > 0 else "Negative 😡" if avg_sentiment < 0 else "Neutral 😐"
     keywords = list(set([word for article in articles for word in article["title"].split()[:5]]))
-    return {"sentiment_score": avg_sentiment, "sentiment_label": sentiment_label, "keywords": keywords}
-
+    
+    return {
+        "sentiment_score": avg_sentiment, 
+        "sentiment_label": sentiment_label, 
+        "keywords": keywords
+    }
 
 ### 🔹 3. Get BTC Market Insights ###
 @tool
-def btc_market_insights():
+def btc_market_insights() -> Dict[str, any]:
     """
     Fetch BTC price, historical trends, moving averages, and Fear & Greed Index.
     """
@@ -121,7 +125,7 @@ def btc_market_insights():
 
 ### 🔹 4. Make Buy/Sell/HODL Decision ###
 @tool
-def btc_decision(news_analysis, market_insights):
+def btc_decision(news_analysis: Dict[str, any], market_insights: Dict[str, any]) -> Dict[str, str]:
     """
     Aggregates news sentiment & market insights to suggest Buy, Sell, or HODL.
     """