Delete test.py

test.py

@@ -1,18 +0,0 @@
-import torchaudio
-import torch
-import torch.nn as nn
-import numpy as np
-from functions import *
-from unet import UNet
-
-"""
-model = UNet()
-model_state_dict = torch.load("huggingface/model.pth", map_location="cpu")
-model.load_state_dict(model_state_dict["model_state_dict"])
-print("# of trainable parameters =", sum(p.numel() for p in model.parameters() if p.requires_grad))
-
-audio = load_audio("huggingface/p232_001.wav")
-enhanced = predict("huggingface/p232_001.wav", model)
-print(enhanced.shape)"""
-string = "C:/Users/durim/Documents/KTH/Master_År2/DT2119-SSR/project_feature_extraction.ipynb"
-print("/".join(string.split("/")[:-1]))