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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() |