app.py

import gradio as gr
from transformers import pipeline

generator = pipeline("text-generation", model="Qwen/Qwen2.5-0.5B-Instruct", device=-1)

def respond(message):
    messages = [
        {"role": "system", "content": "You are a business negotiation agent. Be direct, strategic, and professional."},
        {"role": "user", "content": message},
    ]
    result = generator(messages, max_new_tokens=256, do_sample=True, temperature=0.7)
    return result[0]["generated_text"][-1]["content"]

demo = gr.Interface(
    fn=respond,
    inputs=gr.Textbox(label="Message"),
    outputs=gr.Textbox(label="Response"),
    title="Negotiation Agent",
)

demo.launch()