Upload app.py with huggingface_hub

app.py

@@ -334,10 +334,13 @@ def run_benchmark(query):
                 vectors_scanned_pct = (vectors_scanned / total_vectors) * 100 if total_vectors > 0 else 0
                 
             # Calculate Recall for Optimized (vs Baseline)
-            prod_ids = set(p.id for p in prod_results)
-            if base_ids:
-                intersection = len(base_ids.intersection(prod_ids))
-                recall = (intersection / len(base_ids)) * 100
+            # Use content matching (payload) because IDs might differ if indexed separately
+            base_contents = set(p.payload.get('text', str(p.payload)) for p in base_results)
+            prod_contents = set(p.payload.get('text', str(p.payload)) for p in prod_results)
+            
+            if base_contents:
+                intersection = len(base_contents.intersection(prod_contents))
+                recall = (intersection / len(base_contents)) * 100
             else:
                 recall = 0.0