import base64
import os

from gradio_client.utils import get_mimetype
from openai import OpenAI
import gradio as gr

api_key = os.environ.get('OPENAI_API_KEY')
client = OpenAI(api_key=api_key)

MODELS = [
    'gpt-4o',
    'gpt-4o-mini',
    'gpt-4',
    'gpt-4-turbo',
    'gpt-3.5-turbo',
]


def process_image(data):
    with open(data['path'], "rb") as image_file:
        b64image = base64.b64encode(image_file.read()).decode('utf-8')

    return "data:" + data['mime_type'] + ";base64," + b64image


def generate(message, history, model, system_prompt,
             temperature=1.0, top_p=1.0, frequency_penalty=0.0, presence_penalty=0.0):
    # history
    history_openai_format=[{"role": "system", "content": system_prompt}]
    for user, assistant in history:
        if isinstance(user, tuple):  # there were files
            content = []
            for filepath in user:
                mime_type = get_mimetype(filepath) or ''
                if mime_type.startswith("image/"):
                    content.append(
                        {"type": "image_url",
                         # for some reason you don't get the same image format in history as in message
                         "image_url": {"url": process_image({'path': filepath,
                                                             'mime_type': get_mimetype(filepath)})}}
                    )
            if content:
                history_openai_format.append(
                    {"role": "user", "content": content})
        else:  # there was just text
            history_openai_format.append({"role": "user", "content": user})

        if assistant is not None:
            history_openai_format.append({"role": "assistant", "content": assistant})

    # new message
    content = [{"type": "text",
                "text": message['text']}]

    for file in message['files']:
        mime_type = get_mimetype(file['path']) or ''
        if not mime_type.startswith('image/'):
            raise gr.Error("Momenteel zijn alleen afbeeldingen ondersteund als bijlagen 💥!", duration=20)
        content.append({"type": "image_url",
                        "image_url": {"url": process_image(file)}})

    history_openai_format.append(
        {"role": "user", "content": content})

    response = client.chat.completions.create(model=model,
                                              messages=history_openai_format,
                                              temperature=temperature,
                                              top_p=top_p,
                                              frequency_penalty=frequency_penalty,
                                              presence_penalty=presence_penalty,
                                              stream=True)

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


chat_interface = gr.ChatInterface(
    multimodal=True,
    title='💬 Private ChatGPT',
    description='Chat with OpenAI models using their official API. OpenAI <a href="https://platform.openai.com/docs/concepts">promises</a> not to train on input or output of API calls.',
    fn=generate,
    analytics_enabled=False,
    chatbot=gr.Chatbot(
        show_label=False,
        show_copy_button=True,
        scale=1),
    additional_inputs=[
        gr.Dropdown(label="Model",
                    choices=MODELS,
                    value=MODELS[0],
                    allow_custom_value=False),
        gr.Textbox(label="System prompt",
                   value="Je bent een slimme, behulpzame assistent van Edwin Rijgersberg"),
        gr.Slider(label="Temperature",
                  minimum=0.,
                  maximum=2.0,
                  step=0.05,
                  value=1.0),
        gr.Slider(label="Top P",
                  minimum=0.,
                  maximum=1.0,
                  step=0.05,
                  value=1.0),
        gr.Slider(label="Frequency penalty",
                  minimum=0.,
                  maximum=1.0,
                  step=0.05,
                  value=0.),
        gr.Slider(label="Presence penalty",
                  minimum=0.,
                  maximum=1.0,
                  step=0.05,
                  value=0.),
    ],
    textbox=gr.MultimodalTextbox(
                            file_types=['image'],
                            show_label=False,
                            label="Message",
                            placeholder="Type een bericht...",
                            scale=7,
                        ),
    additional_inputs_accordion=gr.Accordion(label="Instellingen", open=False),
    show_progress="full",
    submit_btn=None,
    stop_btn="Stop",
    retry_btn="🔄 Opnieuw",
    undo_btn="↩️ Ongedaan maken",
    clear_btn="🗑️ Wissen",
)
chat_interface.launch(share=True)