| import openai | |
| import gradio as gr | |
| openai.api_key = os.getenv("ChatGPT-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(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="Ask a question:", placeholder="E.g. What are gas fees? ...Can you simplify that with an analogy?"), | |
| outputs=gr.Textbox(label="Answer:"), | |
| title="" | |
| ) | |
| WebGPT3.launch() | |