from openai import OpenAI
def predict(message, history, api_key):
    print('in predict')
    client = OpenAI(api_key=api_key)
    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})
    print(history_openai_format)
    response = client.chat.completions.create(
        model='gpt-4o',
        messages=history_openai_format,
        temperature=1.0,
        stream=True
    )

    partial_message = ""
    for chunk in response:
        #print(chunk)
        if chunk.choices[0].delta.content:
            #print(111, chunk.choices[0].delta.content)
            partial_message += chunk.choices[0].delta.content
            yield partial_message


for msg in predict('Hi',[],'sk-proj-FuXWodUyfcvTYcc6K9ekT3BlbkFJ2eV3qu7UZOAWlW2eWRLQ'):
    print(msg)