Update app.py

app.py

@@ -481,15 +481,30 @@ def calculate_relevance_score(summary, model):
         input_variables=["summary"],
         template="""You are a financial analyst tasked with providing a relevance score to news summaries. 
         The score should be based on the financial significance and impact of the news. 
+    
+        Consider the following factors when assigning relevance:
+        - Earnings reports and financial performance
+        - Debt issuance or restructuring
+        - Mergers, acquisitions, or divestments
+        - Changes in key leadership (e.g., CEO, CFO)
+        - Regulatory changes or legal issues affecting the company
+        - Major product launches or market expansion
+        - Significant shifts in market share or competitive landscape
+        - Macroeconomic factors directly impacting the company or industry
+        - Stock price movements and trading volume changes
+        - Dividend announcements or changes in capital allocation
+        - Credit rating changes
+        - Material financial events (e.g., bankruptcy, major contracts)
+    
         Use the following scoring guide:
         - 0.00-0.20: Not relevant to finance or economics
         - 0.21-0.40: Slightly relevant, but minimal financial impact
         - 0.41-0.60: Moderately relevant, some financial implications
-        - 0.61-0.80: Highly relevant, significant financial impact
+        - 0.61-0.80: Highly relevant, significant financial impact 
         - 0.81-1.00: Extremely relevant, major financial implications
-
+    
         Provide a score between 0.00 and 1.00, where 0.00 is not relevant at all, and 1.00 is extremely relevant from a financial perspective.
-
+    
         Summary: {summary}
 
         Relevance Score:"""