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import gradio as gr
from gpt_index import GPTSimpleVectorIndex
from gpt_index.langchain_helpers.chain_wrapper import OpenAI
import os
os.environ["OPENAI_API_KEY"] = "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"
#openai = OpenAI(openai_api_key='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', temperature=0, model_name="text-davinci-003")
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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