gradio x openai

main.py

import dotenv
import os
import openai
import gradio as gr

dotenv.load_dotenv()
openai.api_key = os.getenv("OPENAI_API_KEY")

model = "gpt-3.5-turbo"
# model = "gpt-4-turbo"
# model = "gpt-4o"

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 = openai.ChatCompletion.create(model=model,
    messages= history_openai_format,
    temperature=1.0,
    stream=True)

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

gr.ChatInterface(predict).launch()