Embedding_Visualization.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "# Visualizing Movie Dataset Embeddings\n",
        "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/togethercomputer/together-cookbook/blob/main/Embedding_Visualization.ipynb)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Introduction\n",
        "\n",
        "In this notebook, we will be embedding a subset of the [Movies Dataset](https://www.kaggle.com/datasets/utkarshx27/movies-dataset) and visualizing the generated vector space representations of the movies using a technique called [Uniform Manifold Approximation and Projection (UMAP)](https://umap-learn.readthedocs.io/en/latest/index.html).\n",
        "\n",
        "We will color code the movies using genres and see if similar movie genres cluster together in vector space and apart from movies of different movie genres.\n",
        "\n",
        "<img src=\"images/UMAP.png\" width=\"500\">"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Install relevant libraries"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "sgYqLtlmSdFY",
        "outputId": "d41cbbae-47fd-4038-eb48-b90015c1a634"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
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          ]
        }
      ],
      "source": [
        "!pip install together\n",
        "!pip install umap-learn[plot]"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Download and View the Dataset"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": [
        "# Let's get the movies dataset\n",
        "!wget https://raw.githubusercontent.com/togethercomputer/together-cookbook/refs/heads/main/datasets/movies.json\n",
        "!mkdir datasets\n",
        "!mv movies.json datasets/movies.json"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zLqofhJ_StmZ",
        "outputId": "b27fa88d-244c-4784-c50a-45df7f20013f"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "[{'title': 'Minions',\n",
              "  'overview': 'Minions Stuart, Kevin and Bob are recruited by Scarlet Overkill, a super-villain who, alongside her inventor husband Herb, hatches a plot to take over the world.',\n",
              "  'director': 'Kyle Balda',\n",
              "  'genres': 'Family Animation Adventure Comedy',\n",
              "  'tagline': 'Before Gru, they had a history of bad bosses'},\n",
              " {'title': 'Interstellar',\n",
              "  'overview': 'Interstellar chronicles the adventures of a group of explorers who make use of a newly discovered wormhole to surpass the limitations on human space travel and conquer the vast distances involved in an interstellar voyage.',\n",
              "  'director': 'Christopher Nolan',\n",
              "  'genres': 'Adventure Drama Science Fiction',\n",
              "  'tagline': 'Mankind was born on Earth. It was never meant to die here.'},\n",
              " {'title': 'Deadpool',\n",
              "  'overview': 'Deadpool tells the origin story of former Special Forces operative turned mercenary Wade Wilson, who after being subjected to a rogue experiment that leaves him with accelerated healing powers, adopts the alter ego Deadpool. Armed with his new abilities and a dark, twisted sense of humor, Deadpool hunts down the man who nearly destroyed his life.',\n",
              "  'director': 'Tim Miller',\n",
              "  'genres': 'Action Adventure Comedy',\n",
              "  'tagline': 'Witness the beginning of a happy ending'}]"
            ]
          },
          "execution_count": 2,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "import json\n",
        "\n",
        "with open('./datasets/movies.json', 'r') as file:\n",
        "    movies_data = json.load(file)\n",
        "\n",
        "movies_data[:3]"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "We've got popular movie titles along with information about their genres, plot overviews and more."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Generate Embeddings\n",
        "\n",
        "We will use the Together AI embedding API to generate vector representations for each movie title + overview + tagline."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "id": "dppNHNNOS3YJ"
      },
      "outputs": [],
      "source": [
        "import os\n",
        "\n",
        "# Paste in your Together AI API Key or load it\n",
        "TOGETHER_API_KEY = os.environ.get(\"TOGETHER_API_KEY\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "id": "K73OQBEvS67f"
      },
      "outputs": [],
      "source": [
        "from typing import List\n",
        "import together\n",
        "import numpy as np\n",
        "\n",
        "def generate_embeddings(input_texts: List[str], model_api_string: str) -> List[List[float]]:\n",
        "    \"\"\"Generate embeddings from Together python library.\n",
        "\n",
        "    Args:\n",
        "        input_texts: a list of string input texts.\n",
        "        model_api_string: str. An API string for a specific embedding model of your choice.\n",
        "\n",
        "    Returns:\n",
        "        embeddings_list: a list of embeddings. Each element corresponds to the each input text.\n",
        "    \"\"\"\n",
        "    together_client = together.Together(api_key = TOGETHER_API_KEY)\n",
        "    outputs = together_client.embeddings.create(\n",
        "        input=input_texts,\n",
        "        model=model_api_string,\n",
        "    )\n",
        "    return [x.embedding for x in outputs.data]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UqwCdJenTALC",
        "outputId": "76c7392b-f1e4-4b15-d673-056127859a08"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "['Minions Minions Stuart, Kevin and Bob are recruited by Scarlet Overkill, a super-villain who, alongside her inventor husband Herb, hatches a plot to take over the world. Before Gru, they had a history of bad bosses',\n",
              " 'Interstellar Interstellar chronicles the adventures of a group of explorers who make use of a newly discovered wormhole to surpass the limitations on human space travel and conquer the vast distances involved in an interstellar voyage. Mankind was born on Earth. It was never meant to die here.',\n",
              " 'Deadpool Deadpool tells the origin story of former Special Forces operative turned mercenary Wade Wilson, who after being subjected to a rogue experiment that leaves him with accelerated healing powers, adopts the alter ego Deadpool. Armed with his new abilities and a dark, twisted sense of humor, Deadpool hunts down the man who nearly destroyed his life. Witness the beginning of a happy ending',\n",
              " 'Guardians of the Galaxy Light years from Earth, 26 years after being abducted, Peter Quill finds himself the prime target of a manhunt after discovering an orb wanted by Ronan the Accuser. All heroes start somewhere.',\n",
              " \"Mad Max: Fury Road An apocalyptic story set in the furthest reaches of our planet, in a stark desert landscape where humanity is broken, and most everyone is crazed fighting for the necessities of life. Within this world exist two rebels on the run who just might be able to restore order. There's Max, a man of action and a man of few words, who seeks peace of mind following the loss of his wife and child in the aftermath of the chaos. And Furiosa, a woman of action and a woman who believes her path to survival may be achieved if she can make it across the desert back to her childhood homeland. What a Lovely Day.\",\n",
              " 'Jurassic World Twenty-two years after the events of Jurassic Park, Isla Nublar now features a fully functioning dinosaur theme park, Jurassic World, as originally envisioned by John Hammond. The park is open.',\n",
              " \"Pirates of the Caribbean: The Curse of the Black Pearl Jack Sparrow, a freewheeling 17th-century pirate who roams the Caribbean Sea, butts heads with a rival pirate bent on pillaging the village of Port Royal. When the governor's daughter is kidnapped, Sparrow decides to help the girl's love save her. But their seafaring mission is hardly simple. Prepare to be blown out of the water.\",\n",
              " 'Dawn of the Planet of the Apes A group of scientists in San Francisco struggle to stay alive in the aftermath of a plague that is wiping out humanity, while Caesar tries to maintain dominance over his community of intelligent apes. One last chance for peace.',\n",
              " 'The Hunger Games: Mockingjay - Part 1 Katniss Everdeen reluctantly becomes the symbol of a mass rebellion against the autocratic Capitol. Fire burns brighter in the darkness',\n",
              " 'Big Hero 6 The special bond that develops between plus-sized inflatable robot Baymax, and prodigy Hiro Hamada, who team up with a group of friends to form a band of high-tech heroes. From the creators of Wreck-it Ralph and Frozen']"
            ]
          },
          "execution_count": 5,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Concatenate the title, overview, and tagline of each movie\n",
        "# this makes the text that will be embedded for each movie more informative\n",
        "# as a result the embeddings will be richer and capture this information. \n",
        "to_embed = []\n",
        "for movie in movies_data[:1000]:\n",
        "    text = ''\n",
        "    for field in ['title', 'overview', 'tagline']:\n",
        "        value = movie.get(field, '')\n",
        "        text += str(value) + ' '\n",
        "    to_embed.append(text.strip())\n",
        "\n",
        "to_embed[:10]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "id": "6AK5ppTsTKlj"
      },
      "outputs": [],
      "source": [
        "# We will use the bge-base-en-v1.5 model to generate embeddings for the movies\n",
        "embeddings = generate_embeddings(to_embed, 'BAAI/bge-base-en-v1.5')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-t3MfWm9TOs3",
        "outputId": "21c9cafc-8d92-43fa-8c60-c5ce3313d3c9"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "(1000, 768)"
            ]
          },
          "execution_count": 9,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Verify that we get 1000 vectors of 768 dimensions each\n",
        "embeddings_np = np.array(embeddings)\n",
        "\n",
        "embeddings_np.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 38,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "y-bzjqIXUi_Q",
        "outputId": "6a6e8091-390a-4da1-f8c6-af68967949bd"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "{'Action',\n",
              " 'Adventure',\n",
              " 'Animation',\n",
              " 'Comedy',\n",
              " 'Crime',\n",
              " 'Drama',\n",
              " 'Family',\n",
              " 'Fantasy',\n",
              " 'History',\n",
              " 'Horror',\n",
              " 'Music',\n",
              " 'Mystery',\n",
              " 'Romance',\n",
              " 'Science',\n",
              " 'Thriller',\n",
              " 'War',\n",
              " 'Western'}"
            ]
          },
          "execution_count": 38,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Extract the genres and titles for each movie\n",
        "genres = [movie['genres'].split()[0] for movie in movies_data]\n",
        "titles = [movie['title'] for movie in movies_data]\n",
        "set(genres)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Visualize Embeddings using UMAP\n",
        "\n",
        "UMAP is a technique that uses local structure of the high dimensional vectors to reduce them down to a very low dimensional space. In our case below we will be projecting each 768 dimensional vector down to 2 dimensions and then visualizing it."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 37,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 689
        },
        "id": "yHzsZdY5TT4E",
        "outputId": "17daa167-ecb9-41d6-fd9f-1376052f4d5a"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/umap/umap_.py:1945: UserWarning: n_jobs value 1 overridden to 1 by setting random_state. Use no seed for parallelism.\n",
            "  warn(f\"n_jobs value {self.n_jobs} overridden to 1 by setting random_state. Use no seed for parallelism.\")\n"
          ]
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 800x800 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "import umap, umap.plot\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# UMAP with cosine metric - this is because the embeddings model is trained using cosine similarity\n",
        "mapper = umap.UMAP(n_neighbors=5, min_dist=0.0, metric='cosine', random_state=42).fit(embeddings)\n",
        "\n",
        "# Plot the 2d UMAP embeddings and color by genre\n",
        "umap.plot.points(mapper, labels = np.array(genres), theme='fire');"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Here we can see that there is some clustering with respect to the movie genres, however there is not a clear pattern - this is probably because the genres for each movie can overlap and each movie actually has multiple genres.\n",
        "\n",
        "Learn more about how to use embedding models in the [docs](https://docs.together.ai/docs/embeddings-overview) here!"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}