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import openai |
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import gradio as gr |
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import os |
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openai.api_key = os.getenv("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."}] |
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def CustomChatGPT(user_input): |
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messages.append({"role": "user", "content": user_input}) |
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response = openai.ChatCompletion.create( |
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model="gpt-3.5-turbo", |
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messages=messages |
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) |
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ChatGPT_reply = response["choices"][0]["message"]["content"] |
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messages.append({"role": "assistant", "content": ChatGPT_reply}) |
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return ChatGPT_reply |
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demo = gr.Interface( |
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fn=CustomChatGPT, |
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inputs=gr.Textbox(label="Ask a question:", placeholder="E.g. What are gas fees? ...Can you simplify that with an analogy?"), |
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outputs=gr.Textbox(label="Answer:"), |
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title="", |
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live=False |
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description = "Check for ChatGPT outages <a href="https://status.openai.com/">here.</a>" |
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) |
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demo.launch() |
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