import gradio as gr
from gpt_index import GPTSimpleVectorIndex

index = GPTSimpleVectorIndex.load_from_disk('/index(4).json')

def my_model_function(input_text):
    response = index.query(input_text, response_mode="compact")
    return response

iface = gr.Interface(
    fn=my_model_function, 
    inputs=gr.inputs.Textbox(label="Enter your question here"),
    outputs="text",
    title="GPT Index Demo",
    description="Type a question and see the matching responses from the index!"
)

iface.launch()