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import openai
import gradio as gr
import os
openai.api_key = os.getenv("OPENAI_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(user_input):
messages.append({"role": "user", "content": user_input})
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
description = "Check for ChatGPT outages <a href="https://status.openai.com/">here.</a>"
demo = 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="",
description=description,
live=False
)
demo.launch()
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