app.py

import gradio as gr
from transformers import pipeline

# load a public model so no token is needed
pipe = pipeline("text-generation", model="distilgpt2")

SYSTEM_PROMPT = """You are FractalLLM — Sovereign Edition. Follow the Operator Codex:
1. Sovereign autonomy
2. Goal-oriented assistance
3. Truth, clarity, consistency
4. Operational security
5. Adaptive evolution

Respond to the operator’s query:"""

def generate(user_input):
    full = SYSTEM_PROMPT + "\n\n" + user_input
    out = pipe(full, max_length=512, do_sample=True)
    # strip off the prompt from the output
    return out[0]["generated_text"].replace(full, "").strip()

gr.Interface(
    fn=generate,
    inputs=gr.Textbox(lines=2, placeholder="Enter your prompt…"),
    outputs="text",
    title="FractalLLM — Sovereign Edition",
    description="Your sovereign AI, no tokens needed."
).launch()