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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:"),
css="""
.gradio-container {
color: black;
border-style: none;
background-color: #FFFFFF;
font-family: 'Arial', sans-serif;
font-size: 16px;
}
""",
title="Web(GPT)3"
)
demo.launch()
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