{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Token was found\n",
      "<|im_start|>system\n",
      "You are an AI assistant with access to various tools.<|im_end|>\n",
      "<|im_start|>user\n",
      "Hi !<|im_end|>\n",
      "<|im_start|>assistant\n",
      "Hi human, what can help you with ?<|im_end|>\n",
      "<|im_start|>assistant\n",
      "\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "\n",
    "from transformers import AutoTokenizer\n",
    "\n",
    "messages = [\n",
    "    {\"role\": \"system\", \"content\": \"You are an AI assistant with access to various tools.\"},\n",
    "    {\"role\": \"user\", \"content\": \"Hi !\"},\n",
    "    {\"role\": \"assistant\", \"content\": \"Hi human, what can help you with ?\"},\n",
    "]\n",
    "\n",
    "token = os.getenv('HF_TOKEN')\n",
    "if token is None:\n",
    "    raise ValueError('You must set the HF_TOKEN environment variable')\n",
    "else:\n",
    "    print('Token was found')\n",
    "    #print('Token:', token)\n",
    "\n",
    "\n",
    "tokenizer = AutoTokenizer.from_pretrained(\"HuggingFaceTB/SmolLM2-1.7B-Instruct\", use_auth_token=token)\n",
    "rendered_prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)\n",
    "\n",
    "print(rendered_prompt)"
   ]
  }
 ],
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