Update app.py

app.py

@@ -8,20 +8,22 @@ cear_analyzer = CEARModel()
 
 
 def build_dataframe_from_inputs(values):
-    """Build DataFrame; ignore variety if minutes == 0.
-    """
+    """Build DataFrame; ignore variety if minutes == 0."""
     rows = []
     for name, minutes, variety in values:
         minutes = 0.0 if minutes is None else float(minutes)
-        # If minutes == 0, force variety to None so it is excluded
         if minutes == 0:
             variety = None
         else:
             variety = None if variety is None else float(variety)
         if minutes > 0:
-            rows.append({"platform_name": name, "minutes_per_week": minutes, "variety_score": variety})
+            rows.append({
+                "platform_name": name,
+                "minutes_per_week": minutes,
+                "variety_score": variety,
+            })
     if not rows:
-        return pd.DataFrame(columns=["platform_name","minutes_per_week","variety_score"])
+        return pd.DataFrame(columns=["platform_name", "minutes_per_week", "variety_score"])
     return pd.DataFrame(rows)(values):
     """Build a DataFrame from a list of (platform_name, minutes, variety) tuples.