import gradio as gr
from transformers import pipeline

pipe = pipeline("text2text-generation", model="facebook/blenderbot-400M-distill")

def chatbot_response(message, history):
    response = pipe(message, max_length=150)[0]["generated_text"]
    return response

demo = gr.ChatInterface(chatbot_response, type="messages", autofocus=False)

if __name__ == "__main__":
    demo.launch()