app.py

import gradio as gr
from transformers import pipeline

# ——— Initialize your model pipeline ———
chat_pipe = pipeline(
    "text-generation", 
    model="Hulk810154/Kai", 
    trust_remote_code=True
)  # Uses your HF model directly 4

# ——— Chat handler ———
def chat_fn(message, history):
    if history is None:
        history = []
    # Append user message, get generation, then append AI reply
    output = chat_pipe(message, max_new_tokens=128, do_sample=True)[0]["generated_text"]
    history.append((message, output))
    return history, history

# ——— Build and launch Gradio chat UI ———
demo = gr.ChatInterface(
    fn=chat_fn,
    title="🧠 Kai AGI Text Chat",
    description="Text-only chat with the Hulk810154/Kai model on Hugging Face Spaces."
)
demo.launch()