# copied from https://www.gradio.app/guides/creating-a-chatbot-fast#a-streaming-example-using-openai

import os
from openai import OpenAI
import gradio as gr

api_key = os.getenv("OPENAI_API_KEY")
CHAT_COMPLETION_ENDPOINT = os.getenv(
    "CHAT_COMPLETION_ENDPOINT", "https://api.openai.com/v1"
)

client = OpenAI(api_key=api_key, base_url=CHAT_COMPLETION_ENDPOINT)


def predict(message, history):
    history_openai_format = []
    for human, assistant in history:
        history_openai_format.append({"role": "user", "content": human})
        history_openai_format.append({"role": "assistant", "content": assistant})
    history_openai_format.append({"role": "user", "content": message})

    response = client.chat.completions.create(
        model="gpt-3.5-turbo",
        messages=history_openai_format,
        temperature=1.0,
        stream=True,
    )

    partial_message = ""
    for chunk in response:
        if chunk.choices[0].delta.content is not None:
            partial_message = partial_message + chunk.choices[0].delta.content
            yield partial_message


gr.ChatInterface(predict).launch(server_name="0.0.0.0", server_port=8081)