import pickle import embedding from tqdm import tqdm class Neuron: def __init__(self, name, inp): self.name = name self.inp = embedding.getvec(inp) net = [] with open("dataset.txt", "r") as f: lines = f.readlines() for ind, i in tqdm(enumerate(lines[1:])): if not(i[:6] == "" or lines[ind][:6] == ""): net.append(Neuron(i, lines[ind])) with open("net.pckl", "wb") as f: pickle.dump(net, f)