import openai
import gradio as gr

openai.api_key = os.getenv("ChatGPT-API-Key")

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
        
WebGPT3 = gr.Interface(
    fn=CustomChatGPT,
    inputs=gr.Textbox(label="Ask a question:", placeholder="E.g. What are gas fees? ...Can you simplify that with an analogy?"),
    outputs=gr.Textbox(label="Answer:"),
    title=""
    )

WebGPT3.launch()