app.py

from transformers import AutoModelForSeq2SeqLM, AutoTokenizer

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

# More complex C# code snippet
code_snippet = """
// This class demonstrates a simple calculator program
public class Calculator {
    // Adds two integers
    public int Add(int a, int b) {
        return a + b;
    }

    // Subtracts second integer from first
    public int Subtract(int a, int b) {
        return a - b;
    }

    // Multiplies two integers
    public int Multiply(int a, int b) {
        return a * b;
    }

    // Divides first integer by second
    // Throws DivideByZeroException if b is zero
    public int Divide(int a, int b) {
        if (b == 0) {
            throw new DivideByZeroException("Division by zero is not allowed.");
        }
        return a / b;
    }
}
"""

inputs = tokenizer(code_snippet, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=100)
review = tokenizer.decode(outputs[0], skip_special_tokens=True)

print("Code Review:", review)