Create train.py

train.py

@@ -0,0 +1,16 @@
+from datasets import load_dataset
+from transformers import Trainer, TrainingArguments, Tacotron2ForConditionalGeneration
+
+# تحميل البيانات من Hugging Face Datasets
+dataset = load_dataset("your_username/sada2022")
+najdi_data = dataset.filter(lambda example: example['SpeakerDialect'] == 'Najdi')
+
+# إعداد النموذج والمعالج
+model = Tacotron2ForConditionalGeneration.from_pretrained("facebook/tacotron2")
+
+# إعداد التدريب
+training_args = TrainingArguments(output_dir="./results", per_device_train_batch_size=16, num_train_epochs=3)
+trainer = Trainer(model=model, args=training_args, train_dataset=najdi_data)
+
+# بدء التدريب
+trainer.train()