Spaces:
Sleeping
Sleeping
File size: 3,154 Bytes
b3f0611 6b6c6e0 786296b c023b87 d25ab0c 6b6c6e0 b3f0611 d25ab0c e8c0168 b3f0611 e8c0168 d25ab0c e8c0168 d25ab0c e8c0168 d25ab0c b3f0611 d25ab0c b3f0611 e8c0168 df0f8ea e8c0168 b3f0611 e8c0168 b3f0611 d25ab0c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 |
import gradio as gr
import openai
import os
from codette_core import Code7eCQURE
from codette_agents import MedicalAgent, GovernmentAgent, SocialAgent, EconomicAgent, MisinfoAgent
from codette_trust import trust_calibration, weighted_consensus
openai.api_key = os.getenv("OPENAI_API_KEY")
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 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": user} if i % 2 == 0 else {"role": "assistant", "content": bot}
for i, (user, bot) in enumerate(history)],
{"role": "user", "content": message}
],
temperature=0.7
)
return response['choices'][0]['message']['content']
except Exception as e:
return f"Error from API: {str(e)}"
else:
proposals = [agent.propose(message) for agent in agents]
outcome = codette_cqure.recursive_universal_reasoning(
" | ".join(proposals),
user_consent=consent,
dynamic_recursion=dynamic_rec
)
return f"Ethical Outcome (Local): {outcome}"
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.
""")
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)
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()
|