app.py

import openai
import gradio
import os

openai.api_key = os.environ["OPENAI_API_KEY"]

messages = [{"role": "system", "content": "Please create engaging and informative video scripts for real estate agents to use on social media. The target audience is potential homebuyers and sellers. Each script should be 2-3 minutes long and cover the following topics: 1) Local real estate market updates, 2) Home buying/selling tips, 3) Featured property highlights, and 4) Agent success stories. The tone should be professional and friendly, with a focus on building trust and showcasing the agent's expertise. Please incorporate a strong call-to-action at the end of each script, encouraging viewers to contact the agent for more information or assistance."}]

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)