train.py

# train.py
import time
import yaml

def train_model(config_file="train.yaml"):
    print("🧠 Starting training...")

    try:
        with open(config_file, "r") as f:
            config = yaml.safe_load(f)
    except Exception as e:
        print("⚠️ Failed to load config:", str(e))
        return f"❌ Failed to load config: {str(e)}"

    model_name = config.get("model", {}).get("name", "default_model")
    epochs = config.get("training", {}).get("epochs", 5)
    lr = config.get("training", {}).get("learning_rate", 0.001)
    batch_size = config.get("training", {}).get("batch_size", 32)
    device = config.get("training", {}).get("device", "cpu")

    print(f"📦 Model: {model_name}")
    print(f"🔧 Device: {device}")
    print(f"📚 Epochs: {epochs}, Batch Size: {batch_size}, Learning Rate: {lr}")

    for epoch in range(1, epochs + 1):
        print(f"🌀 Epoch {epoch}/{epochs} ...")
        time.sleep(1)  # Simulate work

    print("✅ Training complete.")
    return f"✅ Dummy training for `{model_name}` finished on `{device}`!"