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import openai |
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import gradio as gr |
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openai.api_key = "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" |
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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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def CustomChatGPT(input_text): |
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pass |
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demo = gr.Interface( |
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fn=CustomChatGPT, |
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inputs=gr.inputs.Text(label="Ask a question"), |
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outputs="text", |
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title="Web(GPT)3 Daily" |
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) |
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demo.launch() |
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iface.launch(inline=True) |
