Chat_Gemma.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "[![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Azie88/Gemma-RAG-PDF-Chatbot/blob/main/Gemma_Chat.ipynb)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "l92FxSWAICMe"
      },
      "source": [
        "# Google Gemma LLMs 🌟\n",
        "\n",
        "The new lightweight LLMs by google are open source, easy to use and available on huggingface.\n",
        "\n",
        "Gemma comes in two sizes: 7B parameters, for efficient deployment and development on consumer-size GPU and TPU and 2B versions for CPU and on-device applications. Both come in base and instruction-tuned variants."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "oyg1Mstp--qE",
        "outputId": "9addffe6-4384-4bf7-c36c-3f1a36c76d7c"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Requirement already satisfied: transformers in /usr/local/lib/python3.10/dist-packages (4.41.2)\n",
            "Collecting transformers\n",
            "  Downloading transformers-4.42.4-py3-none-any.whl (9.3 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m9.3/9.3 MB\u001b[0m \u001b[31m30.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from transformers) (3.15.4)\n",
            "Requirement already satisfied: huggingface-hub<1.0,>=0.23.2 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.23.4)\n",
            "Requirement already satisfied: numpy<2.0,>=1.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (1.25.2)\n",
            "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers) (24.1)\n",
            "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from transformers) (6.0.1)\n",
            "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (2024.5.15)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from transformers) (2.31.0)\n",
            "Requirement already satisfied: safetensors>=0.4.1 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.4.3)\n",
            "Requirement already satisfied: tokenizers<0.20,>=0.19 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.19.1)\n",
            "Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers) (4.66.4)\n",
            "Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.23.2->transformers) (2023.6.0)\n",
            "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.23.2->transformers) (4.12.2)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (3.3.2)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (3.7)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (2.0.7)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (2024.7.4)\n",
            "Installing collected packages: transformers\n",
            "  Attempting uninstall: transformers\n",
            "    Found existing installation: transformers 4.41.2\n",
            "    Uninstalling transformers-4.41.2:\n",
            "      Successfully uninstalled transformers-4.41.2\n",
            "Successfully installed transformers-4.42.4\n"
          ]
        }
      ],
      "source": [
        "!pip install --upgrade transformers"
      ]
    },
    {
      "cell_type": "code",
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            "text/plain": [
              "VBox(children=(HTML(value='<center> <img\\nsrc=https://huggingface.co/front/assets/huggingface_logo-noborder.sv…"
            ]
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          "metadata": {},
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        }
      ],
      "source": [
        "from huggingface_hub import notebook_login\n",
        "\n",
        "notebook_login()"
      ]
    },
    {
      "cell_type": "code",
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        "id": "pYBKTLi5A7s0",
        "outputId": "7869b2a3-d831-4e33-87e1-c1bf9e5b0659"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_token.py:89: UserWarning: \n",
            "The secret `HF_TOKEN` does not exist in your Colab secrets.\n",
            "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n",
            "You will be able to reuse this secret in all of your notebooks.\n",
            "Please note that authentication is recommended but still optional to access public models or datasets.\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "data": {
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            "text/plain": [
              "tokenizer_config.json:   0%|          | 0.00/34.2k [00:00<?, ?B/s]"
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        {
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            "text/plain": [
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            ]
          },
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        {
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            "text/plain": [
              "tokenizer.json:   0%|          | 0.00/17.5M [00:00<?, ?B/s]"
            ]
          },
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        {
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            ]
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          "metadata": {},
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        }
      ],
      "source": [
        "from transformers import AutoTokenizer\n",
        "\n",
        "model = \"google/gemma-2b-it\"\n",
        "tokenizer = AutoTokenizer.from_pretrained(model)"
      ]
    },
    {
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        "id": "poo0zXEeEEyy",
        "outputId": "cd407799-e0d7-4a28-d791-82e29658f1cb"
      },
      "outputs": [
        {
          "data": {
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              "version_major": 2,
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        {
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          },
          "metadata": {},
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        {
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          },
          "metadata": {},
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        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "`config.hidden_act` is ignored, you should use `config.hidden_activation` instead.\n",
            "Gemma's activation function will be set to `gelu_pytorch_tanh`. Please, use\n",
            "`config.hidden_activation` if you want to override this behaviour.\n",
            "See https://github.com/huggingface/transformers/pull/29402 for more details.\n"
          ]
        },
        {
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            },
            "text/plain": [
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            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
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          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "from transformers import pipeline\n",
        "import torch\n",
        "\n",
        "pipeline = pipeline(\n",
        "    \"text-generation\",\n",
        "    model=model,\n",
        "    model_kwargs={\"torch_dtype\":torch.bfloat16},\n",
        "    device=\"cuda\"\n",
        ")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "id": "8D54YDiVGWoJ"
      },
      "outputs": [],
      "source": [
        "messages = [{\n",
        "    \"role\": \"user\",\n",
        "    \"content\": \"Tell me a joke about spaceships.\"\n",
        "}]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {
        "id": "2HwUut5TGmAe"
      },
      "outputs": [],
      "source": [
        "prompt = pipeline.tokenizer.apply_chat_template(\n",
        "    messages,\n",
        "    tokenize=False,\n",
        "    add_generation_prompt=True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {
        "colab": {
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        },
        "id": "c5X7yU2tGyTR",
        "outputId": "e251970d-6d9e-4a17-f4b9-1bf03fc9c250"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "<bos><start_of_turn>user\n",
            "Tell me a joke about spaceships.<end_of_turn>\n",
            "<start_of_turn>model\n",
            "\n"
          ]
        }
      ],
      "source": [
        "print(prompt)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {
        "id": "JQGAF131HWOw"
      },
      "outputs": [],
      "source": [
        "output = pipeline(\n",
        "    prompt,\n",
        "    max_new_tokens = 256,\n",
        "    add_special_tokens = True,\n",
        "    do_sample=True,\n",
        "    temperature = 0.7,\n",
        "    top_k = 50,\n",
        "    top_p = 0.95,\n",
        ")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "y6OAz3goHtIJ",
        "outputId": "1e7220f3-a94a-4c1b-a126-692cd047b06d"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "What do you call a spacecraft that can travel faster than light?\n",
            "\n",
            "...Light year ahead!\n"
          ]
        }
      ],
      "source": [
        "print(output[0][\"generated_text\"][len(prompt):])"
      ]
    }
  ],
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