from typing import List
import gradio as gr
from transformers import AutoTokenizer
import tiktoken


hf_tokenizer_list = [
    ("tugstugi/bert-large-mongolian-cased", False),
    ("tugstugi/bert-large-mongolian-uncased", False),
    ("bayartsogt/mongolian-roberta-large", True),
    ("meta-llama/Llama-2-13b-hf", True),
    ("bigscience/bloom", True),
]

openai_tokenizer_list = [
    "text-davinci-003",
    "gpt-4"
]

# load tokenizers
hf_tokenizers = [
    AutoTokenizer.from_pretrained(model_name_or_id, use_fast=use_fast, trust_remote_code=True)
    for model_name_or_id, use_fast in hf_tokenizer_list
]

openai_tokenizers = [
    tiktoken.encoding_for_model(name)
    for name in openai_tokenizer_list
]


def do_tokenize(tokenizer: AutoTokenizer, text: str) -> List[str]:
    return [(tokenizer.decode([token_id]), str(i)) for i, token_id in enumerate(tokenizer.encode(text))]

def do_simple_split(text: str):
    return [(x, str(i)) for i, x in enumerate(text.split())]

def do_function(text: str):
    return (
        text,
        len(text),
        do_simple_split(text),
        *[do_tokenize(tokenizer, text) for tokenizer in hf_tokenizers],
        *[do_tokenize(tokenizer, text) for tokenizer in openai_tokenizers],
    )


demo = gr.Interface(
    do_function,
    [
        gr.Text("", placeholder="Мөнгөө тушаачихсаныхаа дараа мэдэгдээрэй")
    ],
    [
        gr.Text("", label="input"),
        gr.Number(0, label="Character Count"),
        gr.HighlightedText("", label="Simple Split"),
        *[gr.HighlightedText("", label=tokenizer_name) for tokenizer_name, _ in hf_tokenizer_list],
        *[gr.HighlightedText("", label="openai/" + tokenizer_name) for tokenizer_name in openai_tokenizer_list],
    ],
    live=True,
    allow_flagging="never",
    title="Real-Time Tokenizer",
    description=(
        "**Tokenizers:**\n" +
        "\n".join(
            [
                f"🤗 [{x}](https://huggingface.co/{x})"
                for x, _ in hf_tokenizer_list
            ] + [
                f"⏳ [{x}](https://github.com/openai/tiktoken)"
                for x in openai_tokenizer_list
            ])
    ),
)
if __name__ == "__main__":
    demo.launch()