app.py

import gradio as gr
from openai import OpenAI
import os
import os

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

def chat(message, history):
    history_openai_format = []
    for human, assistant in history:
        if (assistant is not None) and (type(human) is str):
            history_openai_format.append({"role": "user", "content": human })
            history_openai_format.append({"role": "assistant", "content":assistant})
        
    history_openai_format.append({"role": "user", "content": message['text']})
  
    print(f"{history}\n----\n{message}\n----\n{history_openai_format}")

    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

demo = gr.ChatInterface(
    fn=chat,
    # examples=[{"text": "hello"}, {"text": "hola"}, {"text": "merhaba"}],
    title="Summarization and more",
    multimodal=True)

demo.launch()