Update researchsimulation/InteractiveInterviewChatbot.py

researchsimulation/InteractiveInterviewChatbot.py

@@ -413,17 +413,15 @@ def validate_generic_answer(agent_name, agent_question, generic_answer, user_pro
         logging.exception("[validate_generic_answer] Exception during validation")
         return False
 
-def validate_styled_answer(agent_name, agent_question, styled_answer, user_profile, processor_llm, interview_transcript_text):
+def validate_styled_answer(agent_name, agent_question, styled_answer, user_profile, processor_llm):
     """
-    Validates whether the styled answer matches the user's typical speaking style using prior interview transcript and communication profile.
+    Validates whether the styled answer matches the user's typical speaking style using communication profile.
     Returns True if stylistically aligned, False otherwise.
     """
     logging.info("[validate_styled_answer] Entry")
     try:
-        # Use transcript-based style matching logic
         is_valid = matches_user_speaking_style(
             answer=styled_answer,
-            transcript_text=interview_transcript_text,
             processor_llm=processor_llm,
             user_profile=user_profile,
             agent_question=agent_question
@@ -434,6 +432,7 @@ def validate_styled_answer(agent_name, agent_question, styled_answer, user_profi
         logging.exception("[validate_styled_answer] Exception during style validation")
         return False
 
+
 # --- Updated ask_interview_question Function ---
 def ask_interview_question(respondent_agents_dict, last_active_agent, question, processor_llm):
     logging.info("[ask_interview_question] Entry")
@@ -497,7 +496,7 @@ def ask_interview_question(respondent_agents_dict, last_active_agent, question,
                     tailored_attempts += 1
                     continue
 
-                if validate_styled_answer(agent_name, agent_question, styled, user_profile, processor_llm, interview_transcript_text):
+                if validate_styled_answer(agent_name, agent_question, styled_answer, user_profile, processor_llm):
                     tailored_answer = styled
                     break