from openai import OpenAI
import gradio as gr

def predict(message, history, api_key):
    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})

    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 += chunk.choices[0].delta.content
            yield partial_message

def chat_with_api_key(api_key, message, history):
    return predict(message, history, api_key)

with gr.Blocks() as demo:
    api_key = gr.Textbox(label="API Key", placeholder="Enter your API key", type="password")
    message = gr.Textbox(label="Message")
    state = gr.State([])
    output = gr.Textbox(label="Output")

    def update_output(api_key, message, state):
        response = chat_with_api_key(api_key, message, state)
        state.append((message, response))
        return response, state

    btn = gr.Button("Submit")
    btn.click(update_output, inputs=[api_key, message, state], outputs=[output, state])

    demo.launch()