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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 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 | |
iface = gr.Interface(fn=CustomChatGPT, inputs = "text", outputs = "text", title = "basit cyberwala gpt") | |
iface.launch() | |