from transformers import AutoModelForSeq2SeqLM, AutoTokenizer

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

def generate_summary(code_snippet):
    inputs = tokenizer(code_snippet, return_tensors="pt", truncation=True, padding="max_length", max_length=512)
    summary_ids = model.generate(inputs.input_ids, max_length=150, num_beams=4, length_penalty=2.0, early_stopping=True)
    summary = tokenizer.decode(summary_ids[0], skip_special_tokens=True)
    return summary

# Example C# method
code_snippet = """
public int Add(int a, int b) {
    return a + b;
}
"""
summary = generate_summary(code_snippet)
print("Summary:", summary)