| import openai | |
| import gradio as gr | |
| 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 greet(name): | |
| return "Hello !!" | |
| def CustomChatGPT(user_input): | |
| messages.append({"role": "user", "content": enter_input_here}) | |
| 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 | |
| iface = gr.Interface(fn=greet, inputs="text", outputs="text", title = "Real Estate Pro") | |
| iface.launch(share=True) | |