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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()
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