| 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 | |
| with gr.Blocks(theme=gr.themes.Glass()) as demo: | |
| textbox = gr.Textbox(label="Insert jargon here (ask a question):", placeholder="E.g. What are gas fees?") | |
| with gr.Row(): | |
| button = gr.Button("Submit", variant="primary") | |
| clear = gr.Button("Clear") | |
| output = gr.Textbox(label="Get a simple answer in return:") | |
| demo.launch() | |