app.py

from transformers import AutoModelForCausalLM, AutoTokenizer

# Load the MobiLlama model and tokenizer
model_name = "MBZUAI/MobiLlama-05B"
model = AutoModelForCausalLM.from_pretrained(model_name)
tokenizer = AutoTokenizer.from_pretrained(model_name)

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

# Tokenize and generate summary
inputs = tokenizer(code_snippet_csharp, return_tensors="pt")
outputs = model.generate(inputs.input_ids, max_length=50)
summary = tokenizer.decode(outputs[0], skip_special_tokens=True)

print("C# Code Summary:", summary)