test.html

from transformers import AutoModelForCausalLM, AutoTokenizer

# Load the Llama model and tokenizer
model_name = "meta-llama/Llama-3.2-1B"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)

# Function to generate a response
def generate_response(prompt, max_length=100):
    inputs = tokenizer(prompt, return_tensors="pt")
    outputs = model.generate(inputs["input_ids"], max_length=max_length)
    return tokenizer.decode(outputs[0], skip_special_tokens=True)

# Test English response
english_prompt = "Hi, Welcome to Saudi Travel and Tourism, How can I help you?"
english_response = generate_response(english_prompt)
print("English Response:", english_response)

# Test Arabic response
arabic_prompt = "مرحباً بكم في موقع السفر والسياحة السعودي، كيف يمكنني مساعدتك اليوم؟"
arabic_response = generate_response(arabic_prompt)
print("Arabic Response:", arabic_response)