| 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 |
| |
| WebGPT3 = 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:"), |
| theme="light", |
| title="Web(GPT)3" |
| ) |
|
|
| WebGPT3.launch() |
|
|
|
|
