Update app.py

app.py

@@ -11,21 +11,36 @@ class PaperManager:
         self.papers = []
         self.total_pages = 1
 
+    def calculate_score(self, paper):
+        """
+        Calculate the score of a paper based on upvotes and age.
+        This mimics the "hotness" algorithm used by platforms like Hacker News.
+        """
+        upvotes = paper.get('paper', {}).get('upvotes', 0)
+        published_at_str = paper.get('publishedAt', datetime.now(timezone.utc).isoformat())
+        try:
+            published_time = datetime.fromisoformat(published_at_str.replace('Z', '+00:00'))
+        except ValueError:
+            # If parsing fails, use current time to minimize the impact on sorting
+            published_time = datetime.now(timezone.utc)
+        
+        time_diff = datetime.now(timezone.utc) - published_time
+        time_diff_hours = time_diff.total_seconds() / 3600  # Convert time difference to hours
+
+        # Avoid division by zero and apply the hotness formula
+        score = upvotes / ((time_diff_hours + 2) ** 1.5)
+        return score
+
     def fetch_papers(self):
         try:
             response = requests.get(f"{API_URL}?limit=100")
             response.raise_for_status()
             data = response.json()
 
-            # Sort papers by 'publishedAt' descending, then by 'upvotes' descending
+            # Sort papers by calculated score descending
             self.papers = sorted(
                 data,
-                key=lambda x: (
-                    datetime.fromisoformat(
-                        x.get('publishedAt', datetime.now(timezone.utc).isoformat()).replace('Z', '+00:00')
-                    ),
-                    x.get('paper', {}).get('upvotes', 0)
-                ),
+                key=lambda x: self.calculate_score(x),
                 reverse=True
             )
 
@@ -311,4 +326,4 @@ with demo:
     </script>
     """)
 
-demo.launch()
+demo.launch()