app.py

import gradio as gr
from transformers import pipeline, set_seed

# Load GPT-2 model
generator = pipeline("text-generation", model="gpt2")
set_seed(42)

# Define chatbot response function
def chat_with_bot(message):
    prompt = f"User: {message}\nBot:"
    response = generator(prompt, max_length=100, do_sample=True, temperature=0.7)
    reply = response[0]["generated_text"][len(prompt):]  # extract only the new response
    return reply.strip()

# Create Gradio interface
gr.Interface(
    fn=chat_with_bot,
    inputs=gr.Textbox(lines=2, placeholder="Ask me anything..."),
    outputs="text",
    title="Jayalakshmi's AI Chatbot",
    description="A simple chatbot powered by GPT-2. Ask anything!"
).launch()