ai_model.py

import torch
from transformers import AutoModelForCausalLM, AutoTokenizer

MODEL_NAME = "bigcode/starcoder"

class AIModel:
    def _init_(self):
        self.tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
        self.model = AutoModelForCausalLM.from_pretrained(MODEL_NAME, torch_dtype=torch.float16, device_map="auto")

    def generate_code(self, prompt, max_length=300):
        inputs = self.tokenizer(prompt, return_tensors="pt").to("cuda")
        outputs = self.model.generate(**inputs, max_length=max_length, num_return_sequences=1, temperature=0.7)
        return self.tokenizer.decode(outputs[0], skip_special_tokens=True)