app.py

import gradio as gr
from transformers import pipeline

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

# Chat function
def chat(prompt):
    response = chatbot(prompt, max_length=50, do_sample=True, temperature=0.7)
    return response[0]["generated_text"]

# create Gradio Web App
with gr.Blocks() as demo:
    gr.Markdown("## 🤖 Bestcoder Chatbot - Powered by BlenderBot")
    gr.Image("logo.png", width=400) 
    prompt_input = gr.Textbox(label="Enter your message")
    submit_button = gr.Button("Generate Response")
    output_text = gr.Markdown("### AI Response will appear here ⬇️")

    submit_button.click(chat, inputs=prompt_input, outputs=output_text)

# lunch
demo.launch()