Delete use.py

use.py

@@ -1,37 +0,0 @@
-import torch
-import torchaudio
-from generator import SISUGenerator
-
-device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
-
-# Initialize models and move them to device
-generator = SISUGenerator()
-generator.load_state_dict(torch.load("generator.pt", weights_only=True))
-generator.to(device)
-generator.eval()
-
-def generate_audio(input_audio_path, output_audio_path):
-    # Load and preprocess input audio
-    low_quality_wav, sr_b = torchaudio.load(input_audio_path)
-    low_quality_wav = low_quality_wav.to(device)
-
-    # Normalize audio
-    low_quality_wav = normalize(low_quality_wav)
-
-    # Flatten the input if necessary
-    low_quality_wav = low_quality_wav.view(low_quality_wav.size(0), -1)
-
-    fake_audio = generator(low_quality_wav)
-
-    print(fake_audio)
-
-    print(f"Generated audio saved to {output_audio_path}")
-    return low_quality_wav
-
-def normalize(wav):
-    return wav / torch.max(torch.abs(wav))
-
-# Example usage
-input_audio_path = "/mnt/games/Home/Downloads/SISU/sample_3_023.wav"
-output_audio_path = "/mnt/games/Home/Downloads/SISU/godtier_audio.wav"
-generate_audio(input_audio_path, output_audio_path)