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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() | |