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import transformers
from transformers import pipeline
import gradio as gr
from evaluate import evaluator
from datasets import load_dataset
task_evaluator = evaluator("automatic-speech-recognition")
data = load_dataset("mskov/miso_test", "en", split="test[:40]")
results = task_evaluator.compute(
model_or_pipeline="https://huggingface.co/mskov/whisper_miso",
data=data,
input_column="path",
label_column="category",
metric="wer",
)
print(results)
# whisper_esc50 = pipeline(model="mskov/whisper_esc50")
#whisper_miso= pipeline(model="mskov/whisper_miso")
# dataset = load_dataset("mskov/miso_test")
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