app.py

import gradio as gr
from transformers import pipeline

pipe = pipeline("text-generation", model="tiiuae/falcon-rw-1b")

def chat(text):
    result= pipe(text)
    return result

with gr.Blocks(title='Basic chatbot based on gpt2') as demo:
    with gr.Row():
        user_input = gr.Textbox(placeholder="Type your message here...", label="Your Message", lines=2)

    with gr.Row():
        output = gr.Textbox(label="Response", lines=4)

    with gr.Row():
        submit_btn = gr.Button("Send")

    submit_btn.click(fn=chat, inputs=user_input, outputs=output)

demo.launch()