Upload folder using huggingface_hub

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+Kantian[[:space:]]Critique[[:space:]]Debate-2025-12-18-171703.png filter=lfs diff=lfs merge=lfs -text

.gitignore

@@ -9,9 +9,11 @@ app_old_v7.py
 app_old_v8.py
 app_old_v9.py
 app_old_v10.py
+app_old_v11.py
 app_old.py
 Archive.zip
 deploy_log.txt
 Kantian Critique Debate-2025-12-15-145210.png
+Kantian Critique Debate-2025-12-18-152507.png
 kantian_agent_flowchart.png
 walkthrough.md

app.py

@@ -125,9 +125,9 @@ AGENT DEFINITIONS
     - **Do NOT use** this if the user is asking for **fixes, solutions, or any other thing that requires a specific answer from the document**.
 
 (C) DEBATE Agent
-    Use this if the user **DISAGREES** with the assistant.
-    - Triggers: "I disagree", "you are wrong", "no that's incorrect".
-    - Intent: Challenge the AI's logic or conclusion.
+    Use this if the user **DISAGREES** with the assistant or **STATES A CONTRARY POSITION**.
+    - Triggers: "I disagree", "you are wrong", "no that's incorrect", "I think", "I believe", "In my opinion".
+    - Intent: Challenge the AI's logic or conclusion, or express a different viewpoint that contradicts previous discussion.
 
 ────────────────────────
 FINAL DECISION
@@ -154,13 +154,17 @@ kantian_prompt = ChatPromptTemplate.from_messages([
 6. Distinguish between "What does the doc say" (strict fact) and "What do you think" (philosophical discourse).
 7. Be precise and authoritative.
 8. NEVER repeat previous responses - always provide fresh analysis.
+9. AVOID repeating phrases, arguments, or reasoning patterns from the conversation history.
+10. If you've made a point before, approach it from a completely different angle or perspective.
+11. Vary your sentence structure and vocabulary significantly from previous responses.
 
 === YOUR TASK ===
 Answer the user's question.
 - For document questions: Stick strictly to the context.
 - For philosophical/opinion questions: engage intellectually using Kantian philosophy.
 - NEVER make up quotes or page numbers.
-- NEVER repeat previous responses verbatim."""),
+- NEVER repeat previous responses verbatim.
+- ALWAYS bring new insights or perspectives to avoid repetition."""),
     ("human", """Conversation History:
 {history}
 
@@ -234,12 +238,15 @@ def kantian_reply(state: AgentState):
 Question: "{message}"
 Recent conversation: {history_str if history_str else "None"}
 
-Look at the conversation and question. Does the user need a specific answer from the document?
+Document preview:
+{state['doc_preview']}
 
-Answer "YES" if the user is asking things similar to LOCATE, EXTRACT, MODIFY, FIX specific parts of the text, or anything requiring a specific answer from the document.
+Look at the conversation, question, and document preview. Can this question be answered with the preview text alone?
+
+Answer "YES" if the user is asking things that require SEARCHING beyond the preview or LOCATING specific parts of the text.
    (e.g., "Where does it say that?", "Find the exact quote", "Show me the text I should fix", "What lines need changing?", "Give me a solution", "How can I fix this?")
 
-Answer "NO" if the user is asking for OPINIONS, HIGH-LEVEL SUMMARIES, or PHILOSOPHICAL DEBATE.
+Answer "NO" if the user is asking for OPINIONS, HIGH-LEVEL SUMMARIES, or questions answerable from the preview.
    (e.g., "Do you agree?", "What is the main idea?", "Explain the concept of X", "Which option is better?")
 
 Reply: YES or NO""").content.strip().upper()
@@ -351,6 +358,17 @@ Present the findings to the user and then provide your Kantian analysis of what
         # Get verbatim text
         verbatim = llm_fast.invoke(f"Extract only the raw text from: {context}").content
         
+        # Decide if we need to return verbatim
+        return_verbatim = llm_fast.invoke(f"""Does the user want to see the exact text from the document?
+
+Question: "{message}"
+Recent conversation: {history_str if history_str else "None"}
+
+Answer "YES" if the user explicitly asked for the exact text or a specific quote.
+Answer "NO" if the user is just asking a philosophical question or seeking analysis without specific text.
+
+Reply: YES or NO""").content.strip().upper()
+
         # Get Kantian analysis
         kantian_response = kantian_agent.invoke({
             "context": f"Found text: {verbatim}",
@@ -358,7 +376,11 @@ Present the findings to the user and then provide your Kantian analysis of what
             "message": message
         }).content
         
-        response = f"{kantian_response}\n\n'''\n{verbatim}\n'''"
+        print("KANTIAN: Verbatim text requested ->", return_verbatim)
+        if "YES" in return_verbatim:
+            response = f"{kantian_response}\n\n'''\n{verbatim}\n'''"
+        else:
+            response = kantian_response
     else:
         # Standard Persona-based reply
         response = kantian_agent.invoke({
@@ -462,6 +484,8 @@ Be authoritative and unwavering.
 - Repeat phrases verbatim from the summary
 - Repeat any previous responses from the conversation history
 - REPEAT ANYTHING FROM THE CONVERSATION HISTORY or PREVIOUS RESPONSES.
+- Use similar reasoning patterns as before
+- Repeat phrases, arguments, or vocabulary from previous responses
 
 START YOUR RESPONSE IMMEDIATELY.""").content