| 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() |
|
|
|
|
