{
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  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b56b67fb",
   "metadata": {},
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   "source": [
    "from transformers import AutoTokenizer, AutoModelForCausalLM\n",
    "import torch\n",
    "\n",
    "model_id = \"mourningdove/zk-auditor\"\n",
    "\n",
    "\n",
    "tokenizer = AutoTokenizer.from_pretrained(model_id)\n",
    "model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=torch.float16, device_map=\"auto\")\n",
    "\n",
    "\n",
    "messages = [\n",
    "    {\"role\": \"system\", \"content\": \"You are a Zero-Knowledge Proof security auditor specializing in Circom.\"},\n",
    "    {\"role\": \"user\", \"content\": \"Audit this Circom circuit for vulnerabilities: template Test() { signal input a; signal output b; b <-- a * 2; }\"}\n",
    "]\n",
    "\n",
    "prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)\n",
    "inputs = tokenizer(prompt, return_tensors=\"pt\").to(model.device)\n",
    "outputs = model.generate(**inputs, max_new_tokens=200)\n",
    "print(tokenizer.decode(outputs[0], skip_special_tokens=True))\n"
   ]
  }
 ],
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