import openai
import gradio

openai.api_key = "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"

messages = [{"role": "system", "content": "YOU ARE THE BEST DEVELOPER "}]

def CustomChatGPT(YO_U):
    try:
        messages.append({"role": "user", "content": YO_U})
        response = openai.ChatCompletion.create(
            model="gpt-3.5-turbo",
            messages=messages
        )
       #ChatGpt_Reply#
        ANSWER = response["choices"][0]["message"]["content"]
        messages.append({"role": "assistant", "content": ANSWER})
        return ANSWER
    except Exception as e:
        return f"An error occurred: {str(e)}"

demo = gradio.Interface(fn=CustomChatGPT, inputs="text", outputs="text", title="BEST DEVELOPERS Developed By AmritTech")

demo.launch(share=False)