app.py

import gradio as gr
from transformers import pipeline

# Load the text-generation pipeline
pipe = pipeline("text-generation", model="jk12p/qwen3-finetuned-mini")

# Define function
def chat(user_input, history):
    result = pipe(user_input, max_new_tokens=100, do_sample=True, temperature=0.7)
    response = result[0]["generated_text"]
    history.append((user_input, response))
    return history, history

# Gradio UI
with gr.Blocks() as demo:
    gr.Markdown("## 💬 JP AI Chatbot")
    chatbot = gr.Chatbot()
    msg = gr.Textbox(label="Your Message", placeholder="Ask something...")
    clear = gr.Button("Clear Chat")

    state = gr.State([])

    msg.submit(chat, [msg, state], [chatbot, state])
    clear.click(lambda: ([], []), None, [chatbot, state])

demo.launch()