samples/colab_llama32_vision_enforcer.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Visual Data Extraction using LM Format Enforcer\n",
    "\n",
    "<a target=\"_blank\" href=\"https://colab.research.google.com/github/noamgat/lm-format-enforcer/blob/main/samples/colab_llama32_vision_enforcer.ipynb\">\n",
    "  <img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/>\n",
    "</a>\n",
    "\n",
    "This notebook shows how you can integrate [LM Format Enforcer](https://github.com/noamgat/lm-format-enforcer) with the [Llama 3.2 Vision](https://huggingface.co/meta-llama/Llama-3.2-11B-Vision) model. It shows how you can use LMFE to extract structured output by querying images.\n",
    "\n",
    "\n",
    "## Setting up the COLAB runtime (user action required)\n",
    "\n",
    "This colab-friendly notebook is targeted at demoing the enforcer on visual LLMs. We will be using LLAMA3.2. It can run on a free GPU on Google Colab with fp4 quantization.\n",
    "Make sure that your runtime is set to GPU:\n",
    "\n",
    "Menu Bar -> Runtime -> Change runtime type -> T4 GPU (at the time of writing this notebook). [Guide here](https://www.codesansar.com/deep-learning/using-free-gpu-tpu-google-colab.htm)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install transformers==4.45.1 torch lm-format-enforcer huggingface_hub accelerate bitsandbytes cpm_kernels pillow\n",
    "\n",
    "# When running from source / developing the library, use this instead\n",
    "# %load_ext autoreload\n",
    "# %autoreload 2\n",
    "# import sys\n",
    "# import os\n",
    "# sys.path.append(os.path.abspath('..'))\n",
    "# os.environ['CUDA_LAUNCH_BLOCKING'] = '1'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Gathering huggingface credentials (user action required)\n",
    "\n",
    "We begin by installing the dependencies. This demo uses llama3.2, so you will have to create a free huggingface account, request access to the llama2 model, create an access token, and insert it when executing the next cell will request it.\n",
    "\n",
    "Links:\n",
    "\n",
    "- [Request access to llama model](https://huggingface.co/meta-llama/Llama-3.2-11B-Vision). See the \"Access Llama 3.2 on Hugging Face\" section.\n",
    "- [Create huggingface access token](https://huggingface.co/settings/tokens)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from huggingface_hub import notebook_login\n",
    "notebook_login()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can create the model. This may take a few minutes. In this demo we assume you are running on free Colab, so we quaniize to 4 bit. If you are running with 24GB VRAM or more, you can set `run_in_4bit = False` to get better results."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/noamgat/mambaforge/envs/commentranker/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
      "  from .autonotebook import tqdm as notebook_tqdm\n",
      "Loading checkpoint shards: 100%|██████████| 5/5 [00:04<00:00,  1.18it/s]\n"
     ]
    }
   ],
   "source": [
    "import torch\n",
    "from transformers import AutoConfig, AutoTokenizer, BitsAndBytesConfig\n",
    "from transformers import MllamaForConditionalGeneration, AutoProcessor\n",
    "\n",
    "model_id = \"meta-llama/Llama-3.2-11B-Vision-Instruct\"\n",
    "\n",
    "run_in_4bit = True  # Can set this to false if running with 24GB VRAM or more\n",
    "bnb_config = BitsAndBytesConfig(load_in_4bit=True, bnb_4bit_quant_type=\"nf4\", bnb_4bit_compute_dtype=torch.bfloat16) if run_in_4bit else None\n",
    "\n",
    "device = 'cuda'\n",
    "\n",
    "if torch.cuda.is_available():\n",
    "    config = AutoConfig.from_pretrained(model_id)\n",
    "    config.pretraining_tp = 1\n",
    "    model = MllamaForConditionalGeneration.from_pretrained(\n",
    "        model_id,\n",
    "        torch_dtype=torch.bfloat16,\n",
    "        device_map=\"cuda:0\",\n",
    "        quantization_config=bnb_config,\n",
    "    )\n",
    "    processor = AutoProcessor.from_pretrained(model_id)\n",
    "else:\n",
    "    raise Exception('GPU not available')\n",
    "\n",
    "tokenizer = AutoTokenizer.from_pretrained(model_id)\n",
    "if tokenizer.pad_token_id is None:\n",
    "    # Required for batching example\n",
    "    tokenizer.pad_token_id = tokenizer.eos_token_id \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If the previous cell executed successfully, you have propertly set up your Colab runtime and huggingface account!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Definining the desired structured output\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pydantic import BaseModel\n",
    "from lmformatenforcer import JsonSchemaParser\n",
    "from typing import List\n",
    "from lmformatenforcer.integrations.transformers import build_transformers_prefix_allowed_tokens_fn, build_token_enforcer_tokenizer_data\n",
    "\n",
    "class Brand(BaseModel):\n",
    "    brands: List[str]\n",
    "\n",
    "schema = Brand.model_json_schema()\n",
    "parser = JsonSchemaParser(schema)\n",
    "\n",
    "tokenizer_data = build_token_enforcer_tokenizer_data(processor.tokenizer, model.vocab_size)\n",
    "prefix_func = build_transformers_prefix_allowed_tokens_fn(tokenizer_data, parser)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Loading the image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=1280x907>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from PIL import Image\n",
    "from urllib.request import urlopen\n",
    "import io\n",
    "\n",
    "image_path = 'https://raw.githubusercontent.com/noamgat/lm-format-enforcer/343b7902bfff0617afda4bc3dc33db089b00db23/samples/colab_llama32_vision_input.png'\n",
    "fd = urlopen(image_path)\n",
    "image_file = io.BytesIO(fd.read())\n",
    "image = Image.open(image_file)\n",
    "\n",
    "display(image)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Generating structured output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Generation took 2.1 seconds\n"
     ]
    }
   ],
   "source": [
    "import json\n",
    "from time import time\n",
    "\n",
    "user = '''Tell me what brands you can see on the provided screenshot, format it in json with the following format: '''\n",
    "\n",
    "messages = [\n",
    "    {\"role\": \"user\", \"content\": [\n",
    "        {\"type\": \"image\"},\n",
    "        {\"type\": \"text\", \"text\": user+json.dumps(schema)}\n",
    "    ]}\n",
    "]\n",
    "input_text = processor.apply_chat_template(messages, add_generation_prompt=True)\n",
    "\n",
    "inputs = processor(image, input_text, return_tensors=\"pt\").to('cuda:0')\n",
    "start_generation = inputs['input_ids'].shape[1]\n",
    "\n",
    "start_time = time()\n",
    "output = model.generate(**inputs, max_new_tokens=512, prefix_allowed_tokens_fn=prefix_func)\n",
    "result = processor.batch_decode(output[:, start_generation:], skip_special_tokens=True)[0]\n",
    "duration = time() - start_time\n",
    "display(f\"Generation took {duration:.1f} seconds\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Viewing the result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\n",
      "  \"brands\": [\n",
      "    \"Apple\",\n",
      "    \"Google\"\n",
	  "    \"X\"\n",
      "  ]\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "display(result)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As you can see, the result adheres to the JSON Schema, and gives us the desired information from the image!"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "commentranker",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.14"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}