import requests
import json
import pandas as pd
from tqdm.auto import tqdm
import streamlit as st
from huggingface_hub import HfApi, hf_hub_download
from huggingface_hub.repocard import metadata_load

def make_clickable(model_name):
    link = "https://huggingface.co/" + model_name
    return f'<a target="_blank" href="{link}">{model_name}</a>'
    
def get_model_ids():
    api = HfApi()
    models = api.list_models(filter="llamaleaderboard")
    model_ids = [x.modelId for x in models]
    return model_ids
    
def get_metadata(model_id):
    try:
        readme_path = hf_hub_download(model_id, filename="README.md")
        return metadata_load(readme_path)
    except requests.exceptions.HTTPError:
        # 404 README.md not found
        return None
        
def parse_metrics_accuracy(meta):
    if "model-index" not in meta:
        return None
    result = meta["model-index"][0]["results"]
    metrics = result[0]["metrics"]
    accuracy = metrics[0]["value"]
    yield accuracy
    
@st.cache(ttl=600)
def get_data():
    data = []
    model_ids = get_model_ids()
    for model_id in tqdm(model_ids):
        meta = get_metadata(model_id)
        if meta is None:
            continue
        row = {}
        row["Model"] = model_id
        row["accuracy"] = parse_metrics_accuracy(meta)
        data.append(row)
    return pd.DataFrame.from_records(data)
    
dataframe = get_data()
dataframe = dataframe.fillna("")

st.markdown("# The 🦙 Leaderboard")

st.markdown(
    f"This is a leaderboard of **{len(dataframe)}** llama classification models.\n\n"
)

st.markdown(
    "Please click on the model's name to be redirected to its model card which includes documentation and examples on how to use it."
)

dataset_df = dataframe.reset_index(drop=True)
dataset_df.index += 1

# turn the model ids into clickable links
dataset_df["Model"] = dataset_df["Model"].apply(make_clickable)
table_html = dataset_df.to_html(escape=False)
table_html = table_html.replace("<th>", '<th align="left">')  # left-align the headers
st.write(table_html, unsafe_allow_html=True)