app.py

# import gradio as gr

# def greet(name):
#     return "Hello " + name + "!!"

# iface = gr.Interface(fn=greet, inputs="text", outputs="text")
# iface.launch()

import gradio as gr
import torch
from transformers import Conversation, pipeline

model_name = "facebook/blenderbot-400M-distill"
chatbot = pipeline("conversational", model=model_name)

# Define the chatbot function
def generate_response(input_text):
    conversation = Conversation()
    conversation.add_user_input(input_text)

    response = chatbot(conversation)

    return response
    # .choices[0]['message']['content']

# Set up the Gradio interface
iface = gr.Interface(
    fn=generate_response,
    inputs=gr.inputs.Textbox(placeholder="Enter your message..."),
    outputs="text",
    title="Conversational Chatbot",
    description="An AI-powered chatbot that engages in conversation.",
    theme="default"
)

# Launch the Gradio interface
iface.launch()