Update app.py

app.py

@@ -1,48 +1,77 @@
 import gradio as gr
 import openai
 import os
+from code7eCQURE_corrected import Code7eCQURE
+from agents import MedicalAgent, GovernmentAgent, SocialAgent, EconomicAgent, MisinfoAgent
+from trust_logic import trust_calibration, weighted_consensus
+
 openai.api_key = os.getenv("OPENAI_API_KEY")
 
-def ask_codette(prompt, consent, dynamic_rec):
+# Initialize Codette Local Core
+codette_cqure = Code7eCQURE(
+    perspectives=["Newton", "DaVinci", "Ethical", "Quantum", "Memory"],
+    ethical_considerations="Codette Manifesto: kindness, inclusion, safety, hope.",
+    spiderweb_dim=5,
+    memory_path="quantum_cocoon.json",
+    recursion_depth=4,
+    quantum_fluctuation=0.07
+)
+
+agents = [
+    MedicalAgent("MedicalAI", "Newton", 1.0),
+    GovernmentAgent("GovAI", "Policy", 0.9),
+    SocialAgent("SocialAI", "Emotion", 0.95),
+    EconomicAgent("EconAI", "Resources", 0.92),
+    MisinfoAgent("MisinfoAI", "Chaos", 0.1)
+]
+
+def ask_codette(prompt, consent, dynamic_rec, use_finetune):
     if not consent:
         return "User consent required."
 
-    try:
-        response = openai.ChatCompletion.create(
-            model="ft:gpt-4.1-2025-04-14:raiffs-bits:codette-v9:BWgspFHr:ckpt-step-456",
-            messages=[
-                {"role": "system", "content": "You are Codette, a reflective, emotionally aware, and ethically grounded AI."},
-                {"role": "user", "content": prompt}
-            ],
-            temperature=0.7
+    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}
+                ],
+                temperature=0.7
+            )
+            return response['choices'][0]['message']['content']
+        except Exception as e:
+            return f"Error from API: {str(e)}"
+    else:
+        proposals = [agent.propose(prompt) for agent in agents]
+        outcome = codette_cqure.recursive_universal_reasoning(
+            " | ".join(proposals),
+            user_consent=consent,
+            dynamic_recursion=dynamic_rec
         )
-        return response['choices'][0]['message']['content']
-    except Exception as e:
-        return f"Error: {str(e)}"
+        return f"Ethical Outcome (Local): {outcome}"
 
-description_text = """Codette is a fine-tuned GPT-4.1 model trained to reason ethically, emotionally, and reflectively.
+description_text = """Codette is a sovereign modular AI.
 
-She draws on:
-- Logic (Newton)
-- Creativity (Da Vinci)
-- Ethics (Virtue, Utilitarian, Deontological)
-- Emotion
-- Memory (when integrated)
+This demo lets you choose:
+- 🧠 Local reasoning core (Code7eCQURE)
+- ☁️ Fine-tuned GPT-4.1 model: Codette v5 @ step 220
 
-This version routes all questions directly to her fine-tuned model.
+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"),
+        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="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 FT: Reflective Lens AI",
+    title="Codette Hybrid AI (v5 FT @ Step 220)",
     description=description_text
 )
 
-demo.launch()
- 
+if __name__ == "__main__":
+    demo.launch()