Upload eduport_tts_mal.py with huggingface_hub

eduport_tts_mal.py

@@ -6,6 +6,7 @@ from transformers import Wav2Vec2Processor, Wav2Vec2Model
 import torchaudio
 from sklearn.model_selection import train_test_split
 from torchaudio.transforms import Resample
+from torch.amp import GradScaler, autocast
 
 # Compute max audio length from the training dataset
 def compute_max_audio_length(audio_files, resampler, target_sampling_rate):
@@ -210,4 +211,4 @@ def train_model(num_epochs=10):
         print(f'Epoch {epoch}: Train Loss: {train_loss / len(train_loader)}, Val Loss: {val_loss / len(val_loader)}')
 
 # Run the training
-train_model()
+train_model()