from openai import OpenAI
import gradio as gr
import os

# api_key = os.environ.get("OPENAI_API_KEY")

client = OpenAI(api_key=os.environ.get("OPENAI_API_KEY"))


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(
     share=True
)