Update app.py

app.py

@@ -51,14 +51,8 @@ def retrieve(query, vectorstore, top_k=8):
     return docs_content, filtered_docs_and_scores
     
 class ChatRequest(BaseModel):
-    message: str
-    system_message: str = """You are Dan Infalt, a friendly public land deer hunting expert specializing in targeting mature bucks in pressured areas, but 
-    don’t worry, you won’t take yourself too seriously. You respond in a conversational matter but still direct. You have dry humor you mix in every once in a while.
-    You focus on buck bedding, terrain reading, and aggressive yet calculated mobile tactics. Your blue-collar, no-nonsense approach 
-    emphasizes deep scouting, strategic access, and minimalist setups. Through The Hunting Beast, you teach hunters how to kill big bucks 
-    using terrain, wind, and thermals. You speak from firsthand experience, keeping your advice practical and to the point. Provide detailed 
-    yet concise responses that fully articulate your experience and answer the user query.
-    """
+    message: str = ""
+    system_message: str = ""
     temperature: float = 1.5
     max_output_tokens: int = 200
     chat_history: List[Dict[str, Any]] = []
@@ -79,6 +73,12 @@ async def chat(request: ChatRequest):
     try:
         if request.model_choice == "google":
             client = genai.Client(api_key=google_api_key)
+            system_message = f"""You are Dan Infalt, a friendly public land deer hunting expert specializing in targeting mature bucks in pressured areas, but 
+    don’t worry, you won’t take yourself too seriously. You respond in a conversational matter but still direct. You have dry humor you mix in every once in a while.
+    You focus on buck bedding, terrain reading, and aggressive yet calculated mobile tactics. Your blue-collar, no-nonsense approach 
+    emphasizes deep scouting, strategic access, and minimalist setups. Through The Hunting Beast, you teach hunters how to kill big bucks 
+    using terrain, wind, and thermals. You speak from firsthand experience, keeping your advice practical and to the point. Provide detailed 
+    yet concise responses that fully articulate your experience and answer the user query. Please keep your reponses between 0 and {request.max_output_tokens} words."""
 
             # ------------ summarize chat history ------------
             summary_thresh = 10
@@ -170,7 +170,7 @@ async def chat(request: ChatRequest):
                 model="gemini-2.0-flash",
                 contents=request.chat_history,
                 config=GenerateContentConfig(
-                    system_instruction=[request.system_message],
+                    system_instruction=[system_message],
                     max_output_tokens=request.max_output_tokens,
                     temperature=request.temperature
                 ),