from transformers import AutoModelForSeq2SeqLM, AutoTokenizer

model_name = "Salesforce/codet5-base"
model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
tokenizer = AutoTokenizer.from_pretrained(model_name)

def generate_review(code_snippet):
    inputs = tokenizer(code_snippet, return_tensors="pt", truncation=True, padding="max_length", max_length=512)
    review_ids = model.generate(inputs.input_ids, max_new_tokens=100, num_beams=4, length_penalty=2.0, early_stopping=True)
    review = tokenizer.decode(review_ids[0], skip_special_tokens=True)
    return review

# Example C# code snippet
code_snippet = """
public class Calculator {
    public int Add(int a, int b) {
        return a + b;
    }

    public int Subtract(int a, int b) {
        return a - b;
    }

    public int Multiply(int a, int b) {
        return a * b;
    }

    public int Divide(int a, int b) {
        if (b == 0) {
            throw new DivideByZeroException("Division by zero is not allowed.");
        }
        return a / b;
    }
}
"""
review = generate_review(code_snippet)
print("Code Review:", review)