| 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(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 | |
| demo = gr.Interface( | |
| fn=CustomChatGPT, | |
| inputs = "text", | |
| name = input("Ask a question! ") | |
| outputs = "text", | |
| title = "Web(GPT)3 Daily") | |
| demo.launch() | |
| iface.launch(inline=True) |