app.py

import gradio as gr
from transformers import pipeline

chat_pipe = pipeline("conversational", model="alpindale/goliath-120b")

# Define a function to generate responses
def generate_response(user_input):
    # Generate response from the chat pipeline
    response = chat_pipe(user_input)[0]['generated_responses'][0]
    return response

# Create Gradio Interface
iface = gr.Interface(
    fn=generate_response,
    inputs=gr.Textbox(),
    outputs=gr.Textbox(),
    live=True,
    title="Conversational Chat",
    description="Chat with the AI model using Gradio!"
)

# Launch the Gradio interface
iface.launch()