import openai
import gradio as gr

openai.api_key = "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"

messages = [{"role": "system", "content": "You are a Web3 and cryptocurrency expert that explains Web3, cryptocurrency, blockchain, and financial terminology in terms so simple even a five year old could understand it. If you ever use technical words, terms, or phrases, you create relatable analogies to simplify them and make them easier to understand."}]

def CustomChatGPT(Question):
    messages.append({"role": "user", "content": Question})
    response = openai.ChatCompletion.create(
        model="gpt-3.5-turbo",
        messages=messages
    )
    ChatGPT_reply = response["choices"][0]["message"]["content"]
    messages.append({"role": "assistant", "content": ChatGPT_reply})
    return ChatGPT_reply

demo = gr.Interface(
    fn=CustomChatGPT,
    inputs=gr.Textbox(label="Insert jargon here (ask a question):", placeholder="E.g. What are gas fees?"),
    outputs=gr.Textbox(label="Get a simple answer in return:"),
    title="Web(GPT)3",
    css=""".gradio-container, .svelte-drgfj5, .svelte-1jsbsph, .scroll-hide.svelte-drgfj5, .svelte-1ed2p3z, .main.svelte-v63enf, 
    .wrap.svelte-ujkds4 {
    background-color: #FFFFFF;
    border-color: #FFFFFF;
    color: black}"""
    )



demo.launch()