app.py

import gradio as gr
from transformers import pipeline
import torch

# Load the text generation pipeline with the model
chatbot = pipeline(
    "text-generation",
    model="facebook/blenderbot-400M-distill",
    device=0 if torch.cuda.is_available() else -1
)

def chat(user_input):
    try:
        # Generate response
        response = chatbot(user_input, max_length=100, do_sample=True)
        # Return the generated text
        return response[0]['generated_text']
    except Exception as e:
        return f"An error occurred: {str(e)}"

# Create the Gradio interface
iface = gr.Interface(
    fn=chat,
    inputs=gr.Textbox(lines=2, placeholder="Type your message here..."),
    outputs="text",
    title="Chatbot using Blenderbot",
    description="A simple chat application using the Blenderbot model."
)

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