Update app.py

app.py

@@ -7,7 +7,6 @@ from codette_trust import trust_calibration, weighted_consensus
 
 openai.api_key = os.getenv("OPENAI_API_KEY")
 
-# Initialize Codette Local Core
 codette_cqure = Code7eCQURE(
     perspectives=["Newton", "DaVinci", "Ethical", "Quantum", "Memory"],
     ethical_considerations="Codette Manifesto: kindness, inclusion, safety, hope.",
@@ -25,17 +24,22 @@ agents = [
     MisinfoAgent("MisinfoAI", "Chaos", 0.1)
 ]
 
-def ask_codette(prompt, consent, dynamic_rec, use_finetune):
+def codette_chat_interface(message, history, consent=True, dynamic_rec=True, use_finetune=False):
     if not consent:
         return "User consent required."
 
+    full_prompt = "\n".join([f"User: {user}\nCodette: {bot}" for user, bot in history if user and bot])
+    full_prompt += f"\nUser: {message}"
+
     if use_finetune:
         try:
             response = openai.ChatCompletion.create(
                 model="ft:gpt-4.1-2025-04-14:raiffs-bits:codettev5:BlPFHmps:ckpt-step-220",
                 messages=[
                     {"role": "system", "content": "You are Codette, a reflective, emotionally aware, and ethically grounded AI."},
-                    {"role": "user", "content": prompt}
+                    *[{"role": "user", "content": user} if i % 2 == 0 else {"role": "assistant", "content": bot}
+                      for i, (user, bot) in enumerate(history)],
+                    {"role": "user", "content": message}
                 ],
                 temperature=0.7
             )
@@ -43,7 +47,7 @@ def ask_codette(prompt, consent, dynamic_rec, use_finetune):
         except Exception as e:
             return f"Error from API: {str(e)}"
     else:
-        proposals = [agent.propose(prompt) for agent in agents]
+        proposals = [agent.propose(message) for agent in agents]
         outcome = codette_cqure.recursive_universal_reasoning(
             " | ".join(proposals),
             user_consent=consent,
@@ -51,34 +55,24 @@ def ask_codette(prompt, consent, dynamic_rec, use_finetune):
         )
         return f"Ethical Outcome (Local): {outcome}"
 
-description_text = """Codette is a sovereign modular AI.
-
-This demo lets you choose:
-- Local reasoning core (Code7eCQURE)
-- Fine-tuned GPT-4.1 model: Codette v5 @ step 220
-
-She draws from Newtonian logic, Da Vinci creativity,
-ethical frameworks, emotion, and memory cocooning.
+with gr.Blocks(title="Codette Chat Hybrid") as demo:
+    gr.Markdown("""
+    # Codette: Hybrid AI Chat (v5 FT @ Step 220)
+    A sovereign AI capable of emotional, ethical, and reflective reasoning.
+    Choose your engine and engage her in ongoing dialogue.
+    """)
 
-This demo lets you choose:
-- 🧠 Local reasoning core (Code7eCQURE)
-- ☁️ Fine-tuned GPT-4.1 model: Codette v5 @ step 220
+    with gr.Row():
+        consent = gr.Checkbox(label="User Consent", value=True)
+        dynamic_rec = gr.Checkbox(label="Enable Dynamic Recursion", value=True)
+        use_finetune = gr.Checkbox(label="Use Fine-Tuned Model (Codette v5 @ step 220)", value=False)
 
-She draws from Newtonian logic, Da Vinci creativity, ethical frameworks, emotion, and memory cocooning.
-"""
-
-demo = gr.Interface(
-    fn=ask_codette,
-    inputs=[
-        gr.Textbox(label="Ask Codette a Scenario"),
-        gr.Checkbox(label="User Consent", value=True),
-        gr.Checkbox(label="Enable Dynamic Recursion", value=True),
-        gr.Checkbox(label="Use Fine-Tuned Model (Codette v5 @ step 220)", value=False)
-    ],
-    outputs=gr.Textbox(label="Codette's Response", lines=12),
-    title="Codette Hybrid AI (v5 FT @ Step 220)",
-    description=description_text
-)
+    chatbot = gr.ChatInterface(
+        fn=lambda msg, history: codette_chat_interface(msg, history, consent.value, dynamic_rec.value, use_finetune.value),
+        title="Codette Conversation",
+        textbox=gr.Textbox(placeholder="Ask Codette something...", label="Your Message"),
+        chatbot=gr.Chatbot(label="Codette's Response")
+    )
 
 if __name__ == "__main__":
     demo.launch()