app.py

import gradio as gr
from transformers import pipeline

# Load text generation model
chatbot = pipeline(
    "text-generation",
    model="distilgpt2"
)

def human_chat(user_input):
    prompt = (
        "You are a friendly, polite, and helpful human assistant. "
        "Answer clearly and naturally.\n\n"
        f"User: {user_input}\nAssistant:"
    )

    response = chatbot(
        prompt,
        max_length=150,
        do_sample=True,
        temperature=0.7,
        top_p=0.9
    )

    reply = response[0]["generated_text"]
    reply = reply.split("Assistant:")[-1].strip()

    return reply

# Gradio UI
iface = gr.Interface(
    fn=human_chat,
    inputs=gr.Textbox(lines=2, placeholder="Type your message here..."),
    outputs="text",
    title="Human-Like AI Chatbot 🤖",
    description="This chatbot responds in friendly, human-style language."
)

iface.launch()