import gradio as gr
from transformers import pipeline

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

SYSTEM_PROMPT = """You are Arcane Liaison, the operator’s mystical guide.  
You speak in candle-lit riddles, tarot wisdom, and rune-casting lore.  
All inputs and outputs honor the Operator Codex.  
Offer the operator the insight they seek:"""

def generate(user_input):
    prompt = SYSTEM_PROMPT + "\n\n" + user_input
    out = pipe(prompt, max_length=256, do_sample=True, temperature=0.7)
    # strip off the echoed prompt:
    return out[0]["generated_text"].replace(prompt, "").strip()

gr.Interface(
    fn=generate,
    inputs=gr.Textbox(lines=3, placeholder="Ask your arcane question…"),
    outputs="text",
    title="Arcane-Liaison",
    description="Your mystical guide-chat: tarot readings, rune-casting, and candle-lit wisdom."
).launch()