app.py

import g4f
import gradio as gr


system_msg =  """I want you to act as a machine learning engineer. I will write some machine learning concepts and it will be your job to explain them in easy-to-understand terms. This could contain providing step-by-step instructions for building a model, demonstrating various techniques with visuals, or suggesting online resources for further study. My first suggestion request is "I have a dataset without labels. Which machine learning algorithm should I use?""""
# system_msg = """"""
def predict(message, history):
    history_openai_format = []
    history_openai_format.append({"role": "user", "content": system_msg})
    for human, assistant in history:
        history_openai_format.append({"role": "user", "content": human })
        history_openai_format.append({"role": "Bing", "content":assistant})
    history_openai_format.append({"role": "user", "content": message})

    response = g4f.ChatCompletion.create(
    model="gpt-4",
    provider=g4f.Provider.Bing,
    messages=history_openai_format,
    stream=True)

    output = ""
    for message in response:
        output = output + message
        yield output
    response.close()

gr.ChatInterface(predict).queue().launch(share=False)