From d5a2567c836dd455668ebdf34363b384f4a19210 Mon Sep 17 00:00:00 2001
From: rahul <gsr1998@gmail.com>
Date: Wed, 3 May 2023 11:55:31 -0400
Subject: [PATCH] Add Colab example

---
 Jsonformer_example.ipynb | 2027 ++++++++++++++++++++++++++++++++++++++
 1 file changed, 2027 insertions(+)
 create mode 100644 Jsonformer_example.ipynb

diff --git a/Jsonformer_example.ipynb b/Jsonformer_example.ipynb
new file mode 100644
index 0000000..32d25cf
--- /dev/null
+++ b/Jsonformer_example.ipynb
@@ -0,0 +1,2027 @@
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+          "text": [
+            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
+            "Collecting transformers\n",
+            "  Downloading transformers-4.28.1-py3-none-any.whl (7.0 MB)\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.0/7.0 MB\u001b[0m \u001b[31m47.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hCollecting jsonformer==0.7.0\n",
+            "  Downloading jsonformer-0.7.0-py3-none-any.whl (6.0 kB)\n",
+            "Requirement already satisfied: termcolor<3.0.0,>=2.3.0 in /usr/local/lib/python3.10/dist-packages (from jsonformer==0.7.0) (2.3.0)\n",
+            "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers) (23.1)\n",
+            "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from transformers) (6.0)\n",
+            "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from transformers) (2.27.1)\n",
+            "Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers) (4.65.0)\n",
+            "Collecting tokenizers!=0.11.3,<0.14,>=0.11.1\n",
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+            "\u001b[?25hRequirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (1.22.4)\n",
+            "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from transformers) (3.12.0)\n",
+            "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (2022.10.31)\n",
+            "Collecting huggingface-hub<1.0,>=0.11.0\n",
+            "  Downloading huggingface_hub-0.14.1-py3-none-any.whl (224 kB)\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m224.5/224.5 kB\u001b[0m \u001b[31m16.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hRequirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.11.0->transformers) (4.5.0)\n",
+            "Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.11.0->transformers) (2023.4.0)\n",
+            "Requirement already satisfied: charset-normalizer~=2.0.0 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (2.0.12)\n",
+            "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (1.26.15)\n",
+            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (2022.12.7)\n",
+            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (3.4)\n",
+            "Installing collected packages: tokenizers, jsonformer, huggingface-hub, transformers\n",
+            "Successfully installed huggingface-hub-0.14.1 jsonformer-0.7.0 tokenizers-0.13.3 transformers-4.28.1\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 2,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 213,
+          "referenced_widgets": [
+            "1418e875d6584870a0d4a7611debf932",
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+            "02ad93e956474727ad642c9aaeb8aad8",
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+            "4abc7b557ef74fa39bc94d2b907fc696",
+            "ddb49badd8ad4f18a25584de6db3a2b3",
+            "f5ed0b885ea043dbb6b99cfb1bda4507",
+            "273101883ae34535975eed607a790cc9",
+            "c6d4c42ff4bc41b880ee9f16e94b10e4",
+            "00230a356acc4f61aae15a908e05b78a",
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+            "35a57225fb85450b9724eaeb7430f163",
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+            "af45e3b7ab2a46188adb40cf36a5006b",
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+            "3854cc6cbbe94913b7eb071c37b5de16",
+            "86f51c48d0ac4293bc2cef377d90f712",
+            "762ea404c1264e88bb6a1bd5fd3df083",
+            "5e606fa6538745cdafa1fdcffa860b0e",
+            "8ec28c348727451793423fbb8e460d67",
+            "855b92bde94f4b838a0ef4f88e27b8b5",
+            "137c0112348646b19ab2522486aea6e8"
+          ]
+        },
+        "id": "9y0Jjj0sOtor",
+        "outputId": "545d45d5-45ad-4791-fde7-e76ad4546ee8"
+      },
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Loading model and tokenizer...\n"
+          ]
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "Downloading (…)lve/main/config.json:   0%|          | 0.00/819 [00:00<?, ?B/s]"
+            ],
+            "application/vnd.jupyter.widget-view+json": {
+              "version_major": 2,
+              "version_minor": 0,
+              "model_id": "1418e875d6584870a0d4a7611debf932"
+            }
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "Downloading pytorch_model.bin:   0%|          | 0.00/5.68G [00:00<?, ?B/s]"
+            ],
+            "application/vnd.jupyter.widget-view+json": {
+              "version_major": 2,
+              "version_minor": 0,
+              "model_id": "15d1160a1a0a496da2a89c9cf2e99665"
+            }
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "Downloading (…)okenizer_config.json:   0%|          | 0.00/450 [00:00<?, ?B/s]"
+            ],
+            "application/vnd.jupyter.widget-view+json": {
+              "version_major": 2,
+              "version_minor": 0,
+              "model_id": "273101883ae34535975eed607a790cc9"
+            }
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "Downloading (…)/main/tokenizer.json:   0%|          | 0.00/2.11M [00:00<?, ?B/s]"
+            ],
+            "application/vnd.jupyter.widget-view+json": {
+              "version_major": 2,
+              "version_minor": 0,
+              "model_id": "4a94b28e25d24e26b64fa6505bc57b8a"
+            }
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "Downloading (…)cial_tokens_map.json:   0%|          | 0.00/228 [00:00<?, ?B/s]"
+            ],
+            "application/vnd.jupyter.widget-view+json": {
+              "version_major": 2,
+              "version_minor": 0,
+              "model_id": "39c845eb44494bafb6831988f8f175cc"
+            }
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Loaded model and tokenizer\n"
+          ]
+        }
+      ],
+      "source": [
+        "from transformers import AutoModelForCausalLM, AutoTokenizer\n",
+        "\n",
+        "print(\"Loading model and tokenizer...\")\n",
+        "model_name = \"databricks/dolly-v2-3b\"\n",
+        "model = AutoModelForCausalLM.from_pretrained(model_name, use_cache=True)\n",
+        "tokenizer = AutoTokenizer.from_pretrained(model_name, use_fast=True, use_cache=True)\n",
+        "print(\"Loaded model and tokenizer\")"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "from jsonformer.format import highlight_values\n",
+        "from jsonformer.main import Jsonformer\n",
+        "\n",
+        "car = {\n",
+        "    \"type\": \"object\",\n",
+        "    \"properties\": {\n",
+        "        \"make\": {\"type\": \"string\"},\n",
+        "        \"model\": {\"type\": \"string\"},\n",
+        "        \"year\": {\"type\": \"number\"},\n",
+        "        \"colors\": {\n",
+        "            \"type\": \"array\",\n",
+        "            \"items\": {\"type\": \"string\"},\n",
+        "        }\n",
+        "    },\n",
+        "}\n",
+        "\n",
+        "builder = Jsonformer(\n",
+        "    model=model,\n",
+        "    tokenizer=tokenizer,\n",
+        "    json_schema=car,\n",
+        "    prompt=\"Generate an example car\",\n",
+        ")\n",
+        "\n",
+        "print(\"Generating...\")\n",
+        "output = builder()\n",
+        "\n",
+        "highlight_values(output)\n"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "8E7zFQ3NO0Yd",
+        "outputId": "b4c201b4-3155-4d21-dc09-aaab8ea6f26a"
+      },
+      "execution_count": 3,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Generating...\n",
+            "{\n",
+            "  make: \"Chevrolet\",\n",
+            "  model: \"Malibu\",\n",
+            "  year: 1.0,\n",
+            "  colors: [\n",
+            "    \"blue\"\n",
+            "  ]\n",
+            "}\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [],
+      "metadata": {
+        "id": "iQT1jAMMRsWT"
+      },
+      "execution_count": 3,
+      "outputs": []
+    }
+  ]
+}
\ No newline at end of file