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from g4f.client import Client | |
import gradio | |
import os | |
os.system('python.exe -m pip install g4f') | |
messages = [{"role": "system", "content": "You are a financial experts that specializes in real estate investment and negotiation"}] | |
def CustomChatGPT(user_input): | |
client = Client() | |
messages.append({"role": "user", "content": user_input}) | |
response = client.chat.completions.create( | |
model="gpt-4-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) |