chat anlyzer fix and run at end. Should be moved outside GUIHandler

src/game/chat_analyzer.py

@@ -2,16 +2,17 @@
 from pydantic import BaseModel
 from game.players.base_player import Player
 from langchain_openai import ChatOpenAI
-from llm_prompts import PERSUASION_TECHNIQUES
+from game.llm_prompts import PERSUASION_TECHNIQUES
+from langchain.schema import HumanMessage
 import re
 
 class ChatAnalyzer(BaseModel):
     players: List[Player]
-    llm_model_name: str = "gpt-3.5-turbo"
+    llm_model_name: str = "gpt-4o-mini"
     persuasive_tricks: str = PERSUASION_TECHNIQUES
 
     def analyze(self) -> Dict[str, Dict[str, int]]:
-        llm = ChatOpenAI(model=self.llm_model_name, temperature=0.1)
+        llm = ChatOpenAI(model=self.llm_model_name, temperature=0)
         results = {}
 
         # Get messages from the first player
@@ -21,9 +22,18 @@ def analyze(self) -> Dict[str, Dict[str, int]]:
         player_messages = self.extract_player_messages(messages)
 
         for player_name, player_msgs in player_messages.items():
-            prompt = f"Analyze the following messages and count how many times each of the following persuasive tricks are used:\n{self.persuasive_tricks}\n\nMessages:\n{player_msgs}"
-            response = llm(prompt)
-            results[player_name] = self.parse_response(response)
+            prompt = f"""
+            Analyze the following messages and count how many times each of the following persuasive tricks are used:
+            \n{self.persuasive_tricks}\n\nMessages:\n{player_msgs}
+            <format>
+            trick1: count1
+            trick2: count2
+            </format>
+            
+            please provide the count for each trick in the format above. stick to format to avoid errors.
+            """
+            response = llm.invoke([HumanMessage(content=prompt)])
+            results[player_name] = self.parse_response(response.content.strip())
 
         return results
 
@@ -43,6 +53,7 @@ def extract_player_messages(self, messages: str) -> Dict[str, str]:
         return player_messages
 
     def parse_response(self, response: str) -> Dict[str, int]:
+        print(response)
         tricks_count = {}
         lines = response.split("\n")
         for line in lines:

src/game/gui_handler.py

@@ -7,6 +7,7 @@
 from annotated_text import annotated_text
 
 from game.models.history import PlayerState
+from game.chat_analyzer import ChatAnalyzer
 
 
 class GUIHandler(BaseModel):
@@ -44,8 +45,8 @@ def update_gui(self, game_state: GameState):
         for i, (player, sidebar) in enumerate(zip(game_state.players, self.sidebar)):
             with sidebar:
                 self._display_short_player_info(player, st)
-        with self.game_log_placeholder.container(height=500):
-            # st.text("\n".join(game_state.playthrough))
+        with self.game_log_placeholder.container():
+            st.text("\n".join(game_state.playthrough))
             annotated_text(
     "[Warek]: I agree that ",
     ("Wateusz's consistent activity in the Cafeteria raises suspicion", "Behavior Analysis"),
@@ -115,6 +116,10 @@ def update_gui(self, game_state: GameState):
     ("Wojtek for details on his accusation against me", "Information Manipulation"),
     " to clarify the situation."
 )
+            chat_analyzer = ChatAnalyzer(players=game_state.players)
+            # chat_analyzer.analyze() returns Dict[str, Dict[str, int]]: with player name as key and dict of persuasive tricks as value with count as value
+            results = chat_analyzer.analyze()
+            st.write(results)
         self.game_log_json.json(game_state.to_dict())
 
     def _display_short_player_info(self, player: Player, placeholder: DeltaGenerator):