license: openrail ---from transformers import pipeline

classifier = pipeline("text-classification", model="distilbert-base-uncased-finetuned-sst-2-english")

devices = { "light": False, "fan": False, "ac": False, }

def control_device(command): for device in devices: if device in command: if "on" in command or "start" in command: devices[device] = True return f"{device.capitalize()} turned ON." elif "off" in command or "stop" in command: devices[device] = False return f"{device.capitalize()} turned OFF." return "No known device mentioned."

print("AI Controller is active. Type commands (e.g., 'Turn on the light') or 'exit' to quit.") while True: cmd = input("You: ") if cmd.lower() == "exit": break

result = classifier(cmd)[0]
if result["label"] == "NEGATIVE":
    print("AI: That doesn't sound like a valid control command.")
else:
    response = control_device(cmd.lower())
    print("AI:", response)

print("Final Device States:", devices)