import gradio
import openai

openai.api_key = "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"

messages = [{"role": "system", "content": "You are a Twitter Tweets experts that specializes in creating viral tweets for startup marketing and update"}]

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="Twitter Tweets Pro")

demo.launch()