| import openai | |
| import gradio as gr | |
| import os | |
| openai.api_key = os.getenv("OPENAI_API_KEY") | |
| def CustomChatGPT(user_input): | |
| 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. In fact, you always open with an analogy when possible."}] | |
| 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="" | |
| ) | |
| demo.launch(inline=True) | |