import pickle import datasets from renumics import spotlight import os import pandas as pd from renumics.spotlight.layouts import debug_classification from renumics.spotlight.layouts import compare_classification if __name__ == "__main__": cache_file_issues="metadata_issues.pkl" # Load dataset using datasets.load_dataset() ds = datasets.load_dataset("renumics/emodb-enriched", split="all") print("Dataset loaded using datasets.load_dataset().") with open(cache_file_issues, "rb") as issue_file: issues = pickle.load(issue_file) while True: layout = debug_classification(label='gender', prediction='m1_gender_prediction', embedding='m1_embedding', features=['age', 'emotion'], inspect={'audio': spotlight.Audio}) #layout = compare_classification(label='gender', model1_prediction='m1_gender_prediction', model1_embedding='m1_embedding', model1_correct='m1_correct', model2_prediction='m2_gender_prediction', #model2_embedding='m2_embedding', model2_correct='m2_correct', inspect={'audio': spotlight.Audio}) view = spotlight.show(ds, issues=issues, port=7860, host="0.0.0.0", layout=layout, allow_filebrowsing=False) view.close()