app.py

from transformers import pipeline
import gradio as gr

# Use the BlenderBot model with the 'text2text-generation' task
chatbot = pipeline("text2text-generation", model="facebook/blenderbot-400M-distill")

# Function to handle conversation
def vanilla_chatbot(message, history):
    # Generate a response using the chatbot model
    response = chatbot(message)
    
    # Return the generated response
    return response[0]['generated_text']

# Initialize the Gradio ChatInterface with 'messages' format
demo_chatbot = gr.ChatInterface(vanilla_chatbot, title="Vanilla Chatbot", description="Enter text to start chatting.", type="messages")

# Launch the Gradio interface with a public link
demo_chatbot.launch(share=True)