HEADER_MD = """# 💬 BaseChat: Chat with Base LLMs via URIAL
[📑 Paper](https://arxiv.org/abs/2312.01552) | [🛜 Website](https://allenai.github.io/re-align/) | [💻 GitHub](https://github.com/Re-Align/urial) | [🐦 X-1](https://x.com/billyuchenlin/status/1799885923045568531) [🐦 X-2](https://x.com/billyuchenlin/status/1759541978881311125) | 📮 Contact: [Yuchen Lin](https://yuchenlin.xyz/)

**Talk with __BASE__ LLMs which are not fine-tuned at all. The used URIAL prompt is [here](https://github.com/Re-Align/URIAL/blob/main/urial_prompts/inst_1k_v4.help.txt.md).** 
- We now also show the responses of the associated aligned model for comparisons.

"""

js_code_label = """
function addApiKeyLink() {
    // Select the div with id 'api_key'
    const apiKeyDiv = document.getElementById('api_key');

    // Find the span within that div with data-testid 'block-info'
    const blockInfoSpan = apiKeyDiv.querySelector('span[data-testid="block-info"]');

    // Create the new link element
    const newLink = document.createElement('a');
    newLink.href = 'https://api.together.ai/settings/api-keys';
    newLink.textContent = ' View your keys here.';
    newLink.target = '_blank'; // Open link in new tab
    newLink.style = 'color: #007bff; text-decoration: underline;';

    // Create the additional text
    const additionalText = document.createTextNode(' (new account will have free credits to use.)');

    // Append the link and additional text to the span
    if (blockInfoSpan) {
        // add a br 
        apiKeyDiv.appendChild(document.createElement('br'));
        apiKeyDiv.appendChild(newLink);
        apiKeyDiv.appendChild(additionalText);
    } else {
        console.error('Span with data-testid "block-info" not found');
    }
}
"""


MODELS = ["Llama-3.1-405B-FP8", "Llama-3-70B", "Llama-3-8B", 
            "Mistral-7B-v0.1", 
            "Mixtral-8x22B", "Qwen1.5-72B", "Yi-34B", "Llama-2-7B", "Llama-2-70B", "OLMo-7B"]

HYPERBOLIC_MODELS = ["meta-llama/Meta-Llama-3.1-405B-FP8", "meta-llama/Meta-Llama-3.1-405B-Instruct"]

BASE_TO_ALIGNED = {
    "Llama-3-70B": "Llama-3-70B-Instruct",
    "Llama-3-8B": "Llama-3-8B-Instruct",
    "Mistral-7B-v0.1": "Mistral-7B-v0.1-Instruct",
    "Mixtral-8x22B": "Mixtral-8x22B-Instruct",
    "Qwen1.5-72B": "Qwen1.5-72B-Instruct",
    "Llama-3.1-405B-FP8": "Llama-3.1-405B-Instruct-FP16",
    "Yi-34B": "Yi-34B-chat",
    "Llama-2-7B": "Llama-2-7B-chat",
    "Llama-2-70B": "Llama-2-70B-chat",
    "OLMo-7B": "OLMo-7B-Instruct", 
}


MODEL_MAPPING = {
    "Llama-3-8B": "meta-llama/Llama-3-8b-hf",
    "Llama-3-70B": "meta-llama/Llama-3-70b-hf",
    "Llama-2-7B": "meta-llama/Llama-2-7b-hf",
    "Llama-2-70B": "meta-llama/Llama-2-70b-hf",
    "Mistral-7B-v0.1": "mistralai/Mistral-7B-v0.1",
    "Mixtral-8x22B": "mistralai/Mixtral-8x22B",
    "Qwen1.5-72B": "Qwen/Qwen1.5-72B",
    "Yi-34B": "zero-one-ai/Yi-34B",
    "Yi-6B": "zero-one-ai/Yi-6B",
    "OLMo-7B": "allenai/OLMo-7B",
    "Llama-3.1-405B-FP8": "meta-llama/Meta-Llama-3.1-405B-FP8",
    #  Aligned models below 
    "Llama-3-70B-Instruct": "meta-llama/Meta-Llama-3-70B-Instruct-Lite",
    "Llama-3-8B-Instruct": "meta-llama/Meta-Llama-3-8B-Instruct-Lite",
    "Mistral-7B-v0.1-Instruct": "mistralai/Mistral-7B-Instruct-v0.1",
    "Mixtral-8x22B-Instruct": "mistralai/Mixtral-8x22B-Instruct-v0.1",
    "Qwen1.5-72B-Instruct": "Qwen/Qwen2-72B-Instruct",
    "Yi-34B-chat": "zero-one-ai/Yi-34B-Chat",
    "Llama-2-7B-chat": "meta-llama/Llama-2-7b-chat-hf",
    "Llama-2-70B-chat": "meta-llama/Llama-2-70b-chat-hf",
    "OLMo-7B-Instruct": "allenai/OLMo-7B-Instruct",
    "Llama-3.1-405B-Instruct-FP16": "meta-llama/Meta-Llama-3.1-405B-Instruct",
}


my_css = """
/* CSS for a link color that is visible on both black and white backgrounds */
a {
    color: #1E90FF; /* DodgerBlue */
    text-decoration: none; /* Optional: remove underline */
}

a:hover {
    color: #104E8B; /* Slightly darker blue for hover effect */
    text-decoration: underline; /* Optional: add underline on hover */
}

"""
# import json 
# with open("together_model_ids.json", "r") as f:
#     TOGETHER_MODEL_IDS = json.load(f)

# for _, model_id in MODEL_MAPPING.items():
#     if model_id not in TOGETHER_MODEL_IDS + HYPERBOLIC_MODELS:
#         print(model_id)