import os

import dotenv
import gradio as gr  # type: ignore
from mistralai.client import MistralClient  # type: ignore
from mistralai.models.chat_completion import ChatMessage  # type: ignore

dotenv.load_dotenv()


MISTRAL_API_KEY = os.environ.get("MISTRAL_API_KEY")


TITLE = """<h1 align="center">MistralAI Playground 💬</h1>"""
DUPLICATE = """
<div style="text-align: center; display: flex; justify-content: center; align-items: center;">
    <a href="https://huggingface.co./spaces/douglarek/MistralAI?duplicate=true">
        <img src="https://bit.ly/3gLdBN6" alt="Duplicate Space" style="margin-right: 10px;">
    </a>
    <span>Duplicate the Space and run securely with your
        <a href="https://console.mistral.ai/user/api-keys"> Mistral API KEY</a>.
    </span>
</div>
"""

AVATAR_IMAGES = (None, "https://media.roboflow.com/spaces/gemini-icon.png")


chatbot_component = gr.Chatbot(
    label="MistralAI", bubble_full_width=False, avatar_images=AVATAR_IMAGES, scale=2, height=400
)
text_prompt_component = gr.Textbox(placeholder="Hi there! [press Enter]", show_label=False, autofocus=True, scale=8)
run_button_component = gr.Button(value="Run", variant="primary", scale=1)
clear_button_component = gr.ClearButton(value="Clear", variant="secondary", scale=1)
mistral_key_component = gr.Textbox(
    label="MISTRAL API KEY",
    value="",
    type="password",
    placeholder="...",
    info="You have to provide your own MISTRAL_API_KEY for this app to function properly",
    visible=MISTRAL_API_KEY is None,
)
model_component = gr.Dropdown(
    choices=["mistral-tiny", "mistral-small", "mistral-medium"],
    label="Model",
    value="mistral-small",
    scale=1,
    type="value",
)
temperature_component = gr.Slider(
    minimum=0,
    maximum=1.0,
    value=0.7,
    step=0.05,
    label="Temperature",
    info=(
        "What sampling temperature to use, between 0.0 and 1.0. "
        "Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic."
        "We generally recommend altering this or top_p but not both."
    ),
)

user_inputs = [
    text_prompt_component,
    chatbot_component,
]
bot_inputs = [
    mistral_key_component,
    model_component,
    temperature_component,
    chatbot_component,
]


client: MistralClient = None


def preprocess_chat_history(history):
    chat_history = []
    for human, assistant in history:
        if human:
            chat_history.append(ChatMessage(role="user", content=human))
        if assistant:
            chat_history.append(ChatMessage(role="assistant", content=assistant))
    return chat_history


def bot(
    mistral_key: str | None,
    model: str,
    temperature: float,
    history,
):
    if not history:
        return history

    mistral_key = mistral_key or MISTRAL_API_KEY
    if not mistral_key:
        raise ValueError("MISTRAL_API_KEY is not set. Please follow the instructions in the README to set it up.")
    global client
    if client is None:
        client = MistralClient(api_key=mistral_key)  # TDOO: how to handle this if no GIL

    chat_history = preprocess_chat_history(history)
    history[-1][1] = ""
    for chunk in client.chat_stream(model=model, messages=chat_history, temperature=temperature):
        print("chunk", chunk)
        if chunk.choices and chunk.choices[0].delta.content:
            history[-1][1] += chunk.choices[0].delta.content
            yield history


def user(text_prompt: str, history):
    if text_prompt:
        history.append((text_prompt, None))
    return "", history


with gr.Blocks() as demo:
    gr.HTML(TITLE)
    gr.HTML(DUPLICATE)
    with gr.Column():
        mistral_key_component.render()
        chatbot_component.render()
    with gr.Row():
        text_prompt_component.render()
        run_button_component.render()
        clear_button_component.render()
    with gr.Accordion("Parameters", open=False):
        model_component.render()
        temperature_component.render()
    run_button_component.click(
        fn=user, inputs=user_inputs, outputs=[text_prompt_component, chatbot_component], queue=False
    ).then(
        fn=bot,
        inputs=bot_inputs,
        outputs=[chatbot_component],
    )
    clear_button_component.click(lambda: (None, None), outputs=[text_prompt_component, chatbot_component], queue=False)
    text_prompt_component.submit(
        fn=user, inputs=user_inputs, outputs=[text_prompt_component, chatbot_component], queue=False
    ).then(
        fn=bot,
        inputs=bot_inputs,
        outputs=[chatbot_component],
    )


demo.queue(max_size=99).launch(debug=False, show_error=True)