import gradio
import os
from llama_index import SimpleDirectoryReader, GPTListIndex, readers, GPTSimpleVectorIndex, LLMPredictor, PromptHelper, ServiceContext

#openai.api_key = "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"
#os.environ["OPENAI_API_KEY"] = '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'  
os.environ["OPENAI_API_KEY"] = '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'

def gradio_ask_ai(user_input):
    index = GPTSimpleVectorIndex.load_from_disk('index.json')
    query = user_input
    f=open("yo.txt","a")
    f.write("file created")
    f.close()
    response = index.query(query)
    return response.response

demo = gradio.Interface(fn=gradio_ask_ai, inputs = "text", outputs = "text", title = "Meshworks bot")

demo.launch(inline=False)