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import gradio

openai.api_key = "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"

messages = [{"role": "system", "content": "You are a financial experts that specializes in real estate investment and negotiation"}]

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 = gradio.Interface(fn=CustomChatGPT, inputs = "text", outputs = "text", title = "Real Estate Pro")

demo.launch(share=True)

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