# from huggingface_hub import login
# import json
import evaluate
# import os

# def hf_login():
#     hf_token = os.getenv("HF_Token")
#     print(hf_token)
#     # if hf_token is None:
#     #     with open("credentials.json", "r") as f:
#     #         hf_token = json.load(f)["token"]
#     login(token=hf_token, add_to_git_credential=True)

def data(dataset):
    for i, item in enumerate(dataset):
        yield {**item["audio"], "reference": item["norm_text"]}

def compute_wer(references, predictions):
    wer_metric = evaluate.load("wer")
    wer = wer_metric.compute(references=references, predictions=predictions)
    wer = round(100 * wer, 2)
    return wer