new.py

import os

import gradio as gr
from openai import OpenAI

OpenAI.api_key = os.getenv("OPENAI_API_KEY")
api_key = os.getenv("OPENAI_API_KEY")
client = OpenAI(api_key=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


chat = gr.ChatInterface(predict, fill_height=True)