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| import openai | |
| import gradio | |
| openai.api_key = os.environ["OPENAI_API_KEY"] | |
| 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(inline = False) | |