import gradio as gr
from transformers import pipeline

# Model load (stable + public)
generator = pipeline(
    "text-generation",
    model="distilgpt2"
)

# Chat function
def chat(message):
    result = generator(
        message,
        max_new_tokens=100,
        do_sample=True,
        temperature=0.7
    )
    return result[0]["generated_text"]

# Gradio interface (UI minimal, API usable)
demo = gr.Interface(
    fn=chat,
    inputs=gr.Textbox(placeholder="Type..."),
    outputs=gr.Textbox(),
    title="ZPRIA AI"
)

demo.launch()