Increase top_n_final parameter in RecommendationRequest for improved recommendation results

app/main.py

@@ -148,7 +148,7 @@ class RecommendationRequest(BaseModel):
                     "state": None,
                     "chat_history": [],
                     "top_k_retrieval": 20,
-                    "top_n_final": 3,
+                    "top_n_final": 5,
                 }
             ]
         }
@@ -158,7 +158,7 @@ class RecommendationRequest(BaseModel):
     state: str | None = None
     chat_history: list[ChatTurn] = Field(default_factory=list)
     top_k_retrieval: int = Field(20, ge=5, le=200)
-    top_n_final: int = Field(3, ge=1, le=25)
+    top_n_final: int = Field(5, ge=1, le=25)
 
 
 class RecommendationRank(BaseModel):

app/recommendation_pipeline.py

@@ -11,7 +11,7 @@ from pathlib import Path
 from typing import Any
 
 import numpy as np
-
+#modules
 from app._paths import submission_root
 from app.gemini_client import gemini_generate_text, use_gemini
 from app.shared_models import (