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"visibility": null, "width": null } }, "057067c5aa724d2a813e3a5d0905107a": { "model_module": "@jupyter-widgets/controls", "model_name": "DescriptionStyleModel", "model_module_version": "1.5.0", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } } } } }, "cells": [ { "cell_type": "markdown", "source": [ "# Assignment #3 - RecSys, Embeddings, Spaces" ], "metadata": { "id": "LQ2eTcHWFauG" } }, { "cell_type": "markdown", "source": [ "**Please read all instructions before starting.** \n", "You should use AI tools for coding: \n", "[Gemini](https://gemini.google.com/), [Claude](https://claude.ai/), [ChatGPT](https://chat.com/), \n", "[Kimi](https://www.kimi.com/), [QWEN](https://chat.qwen.ai/), [DeepSeek](https://chat.deepseek.com/), [Ai2](https://playground.allenai.org/)\n" ], "metadata": { "id": "4tGdET9VmpYC" } }, { "cell_type": "markdown", "source": [ "# Instructions\n", "\n", "Your objective is to build an application that delivers Recommendation functionality, on a text-based or image-based modality." ], "metadata": { "id": "ZX6VouUrGQyB" } }, { "cell_type": "markdown", "source": [ "### **Overview**\n", "\n", "In this assignment, you'll level up your data science toolkit. While the first & second assignments focused on data/features/models, on this one you will practice:\n", "\n", "- Embeddings Vectors\n", "\n", "- Recommendation\n", "\n", "- Evaluations\n", "\n", "- Spaces\n", "\n", "You’ll go from raw data to insights by building a Smart Application.\n", "\n", "This assignment will be completed individually or in pairs." ], "metadata": { "id": "bNW4KDDhzqv-" } }, { "cell_type": "markdown", "source": [ "### **Objectives**\n", "\n", "You’ll gain hands-on experience in:\n", "- Visual Data\n", "- Embeddings\n", "- Cosine Similarity\n", "- Recommendations\n", "- Dimensionality Reduction\n", "- UI Application - Gradio & Spaces \n", "\n", "

" ], "metadata": { "id": "HajNgaiK1mBV" } }, { "cell_type": "markdown", "source": [ "### **Evaluation Criteria**\n", "\n", "- **Dataset (10%)**\n", " The Visual Dataset Selected. Download Datataset directly from HF. Describe Dataset. Exploratory Data Analysis.\n", "\n", "- **Embeddings (20%)**\n", " The HF Model Choosen. Complete an Embeddings Analysis. Apply a Clustering Algorithm. Include Clustering Plots. And provide Clusters Reasoning.\n", "\n", "- **I&O (30%)**\n", " Effective use of embeddings, and representation techniques relevant to your data. Include an Embedding File. Use Similarity Scores. And provide Top3 Recommendations.\n", "\n", "\n", "- **Space (30%)**\n", " Appropriate use of Hugging Face tools & models, thoughtful implementation (input/output) relevance to the problem, and a working application. No Bugs. Friendly UI\n", "\n", "- **Presentation (10%)**\n", " 3–5 minutes video with clear delivery; structured narrative; visuals that support the explanation; confident, professional communication of findings and lessons. Each student presents.\n", "\n", "- **Bonus (up to +10%)**\n", " Extra work such as trying data science tools, creative visualizations, advanced hyper param tuning, interactive dashboards, and deeper business/ethical insights.\n", "\n", "- **Late Submission (-10% per day)**\n", " Assignments submitted after the deadline will receive a 10% penalty per day.\n", "\n", "\n", "

" ], "metadata": { "id": "XT8S3EL1smaH" } }, { "cell_type": "markdown", "source": [ "### **Submission Guidelines**\n", "\n", "1. Please note that this assignmnet will be submitted individually or in pairs.\n", "\n", "2. On Moodle, both students should submit a link to your HugingFace Space.\n", "\n", "3. Your Space Repo should include:\n", "- A Working Application.\n", "- A video of your presentation above/bellow the application.\n", "- A Python Notebook (`.ipynb` file), with all of your coding work.\n", "- Any additional resources.\n", "\n", "Note: Students may be randomly chosen to present their work in a quick online session with the T.A., typically lasting ±10 minutes. Similar to Peer Review.\n", "\n", "

" ], "metadata": { "id": "e_Y_60zl14rw" } }, { "cell_type": "markdown", "source": [ "### Assignment High-level Flow" ], "metadata": { "id": "nd6ibLpUsgyZ" } }, { "cell_type": "markdown", "source": [ 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)" ], "metadata": { "id": "dWNhXa7GVxsU" } }, { "cell_type": "markdown", "source": [ "


\n", "\n", "---\n", "\n", "---\n", "\n", "

" ], "metadata": { "id": "MSrmbr0WszyY" } }, { "cell_type": "markdown", "source": [ "# **Part 0: Config**" ], "metadata": { "id": "VobDhpDF6o28" } }, { "cell_type": "markdown", "source": [ "imports" ], "metadata": { "id": "V5wK9022s7HB" } }, { "cell_type": "code", "source": [ "import os\n", "import random\n", "\n", "import numpy as np\n", "import pandas as pd\n", "\n", "import seaborn\n", "import matplotlib.pyplot as plt\n", "\n", "# " ], "metadata": { "id": "AnBxPUi3sg3U" }, "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "source": [ "Set Seeds" ], "metadata": { "id": "ILbrlv1os9Wj" } }, { "cell_type": "code", "source": [ "SEED = 42\n", "\n", "random.seed(SEED)\n", "np.random.seed(SEED)\n", "os.environ['PYTHONHASHSEED'] = str(SEED)\n", "\n", "# " ], "metadata": { "id": "dyWnrmLqs-24" }, "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "source": [ "For Jupyter Notebooks" ], "metadata": { "id": "CEIzf7k9s-O9" } }, { "cell_type": "code", "source": [ "%matplotlib inline\n", "%config InlineBackend.figure_format = 'retina'" ], "metadata": { "id": "GD6UYH5gs-V2" }, "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "source": [ "warnings" ], "metadata": { "id": "79bh3Q3utCxq" } }, { "cell_type": "code", "source": [ "import warnings\n", "warnings.filterwarnings('ignore')" ], "metadata": { "id": "LNDmwuVBtC2N" }, "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "source": [ "


\n", "\n", "---\n", "\n", "


" ], "metadata": { "id": "8zMdT54_tFUK" } }, { "cell_type": "markdown", "source": [ "# **Part 1: Select a Visual Dataset**\n", "\n", "1. Choose a visual dataset from [Hugginface](https://huggingface.co/datasets?modality=modality:image&size_categories=or:%28size_categories:10K%3Cn%3C100K,size_categories:100K%3Cn%3C1M,size_categories:1M%3Cn%3C10M,size_categories:10M%3Cn%3C100M,size_categories:100M%3Cn%3C1B,size_categories:1B%3Cn%3C10B,size_categories:10B%3Cn%3C100B,size_categories:100B%3Cn%3C1T,size_categories:n%3E1T%29&sort=downloads).\n", "\n", "2. Avoid choosing a \"basic\"/\"small\" dataset - Use 5K images and more.\n", "\n", "3. You are encouraged to choose a dataset from a domain you care about.\n", "\n", "4. Please submit your dataset [here](https://forms.gle/YYiRLXJnbwUfwuwc7), to share it with the class so everyone can see.\n", "And make sure your chosen dataset is unique using this [link](https://docs.google.com/spreadsheets/d/1M8uojrzhSyVnOlSAJpzCKxrhWdzPR77k4x8Kxvr8VDk/edit?usp=sharing).\n", "\n", " *Note: Due to their popularity, the following are datasets you may not choose.*\n", " > - Iris dataset\n", " > - Wine dataset\n", " > - Titanic dataset\n", " > - Boston Housing dataset\n", " > - ImageNet, Cifar-10, CelebFaces, IMDB-wiki\n", "\n" ], "metadata": { "id": "04mO3vTZtPD3" } }, { "cell_type": "code", "source": [ "pip install -U datasets pillow pyarrow tqdm\n" ], "metadata": { "id": "6YAbxB2A7XbA", "outputId": "e191ba63-9e19-445a-94e7-0c66ac7f3f80", "colab": { "base_uri": "https://localhost:8080/" } }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Requirement already satisfied: datasets in /usr/local/lib/python3.12/dist-packages 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"Requirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.10.0,>=2023.1.0->datasets) (25.4.0)\n", "Requirement already satisfied: frozenlist>=1.1.1 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.10.0,>=2023.1.0->datasets) (1.8.0)\n", "Requirement already satisfied: multidict<7.0,>=4.5 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.10.0,>=2023.1.0->datasets) (6.7.0)\n", "Requirement already satisfied: propcache>=0.2.0 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.10.0,>=2023.1.0->datasets) (0.4.1)\n", "Requirement already satisfied: yarl<2.0,>=1.17.0 in /usr/local/lib/python3.12/dist-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.10.0,>=2023.1.0->datasets) (1.22.0)\n", "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.12/dist-packages (from python-dateutil>=2.8.2->pandas->datasets) (1.17.0)\n" ] } ] }, { "cell_type": "code", "source": [ "from datasets import load_dataset\n", "\n", "ds = load_dataset(\"Marqo/deepfashion-multimodal\", split=\"data\")\n", "print(ds)\n", "print(ds.column_names)\n" ], "metadata": { "id": "cE6nTfjj2ZsP", "outputId": "7c1402d5-021f-4288-a26b-1fa89c2350bc", "colab": { "base_uri": "https://localhost:8080/", "height": 324, "referenced_widgets": [ "49c12450a3e14cb59680f3a345084417", "69e062351537432d9aa81dceb86981d1", "be24045856494bc4aad1531400d40be9", "ae81721c3a6f42ed9f05dd8ef0a12181", "d6d1b1052c29440593de7155037286f2", "6158689316104e6cb717fc644088e7f8", "f85ddc438f4040bdb7a3d2b91ea5e13a", "d906fa5678cc4c078c83aba5d928f0a8", "a1dfaf1a7ed44a94b8067db371521fe5", "98a1e77f81be427a921931a4d1ea56a8", "2f4cf653f528446f8327fd9fb1a73ba7", "1b67b0d540c6425e932e2e1c6d626799", "b17465955bb343dd88f0e771d39007d8", "1fd377fd4f084041bc989bb4a3c0341b", "27f1311d9d524e01b3eca7e7a77c1683", "d97d32396c5e43f29eaae14879ec6af0", "1fe6faee1e194eba87fb23ef4d2ef6f5", "9e78fad0d7284ddaa84f17128b3461ea", "214891b839d64296b75f516160fb1824", "7e906c12f3c14e8ca64dd476bf75534d", "c3f4974a4564460a82f1e79dee805912", "b007623d08cd48b5ac9251f16f55dc26", "63c5e8364bef45b09d5fbe43d31b60bb", "8e773d7b7f9e4f569c5f949fd0e5efc6", "93414c1c14f9453b9439b6f42ab33f6c", "36f31628daf64e55bc217647c43829da", "eab1727e209c42c7b3709f5a2fa67066", "840096313cf747dda109f0477b8191a7", "325a8ff42f47436aac8e9c9c6a560672", "fbbe0fa6347c41a9a3948557b8ddcbdc", "3decea785e5c40a9ae05b1d5548af484", "2190d035aabb46c4a4afdc6c1a104cbf", "7e1ee91f67474a1d92772c5e0ae405a6" ] } }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stderr", "text": [ "/usr/local/lib/python3.12/dist-packages/huggingface_hub/utils/_auth.py:94: 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" ] }, { "output_type": "display_data", "data": { "text/plain": [ "README.md: 0.00B [00:00, ?B/s]" ], "application/vnd.jupyter.widget-view+json": { "version_major": 2, "version_minor": 0, "model_id": "49c12450a3e14cb59680f3a345084417" } }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "data/data-00000-of-00001.parquet: 0%| | 0.00/153M [00:00" ], "application/javascript": [ "\n", " async function download(id, filename, size) {\n", " if (!google.colab.kernel.accessAllowed) {\n", " return;\n", " }\n", " const div = document.createElement('div');\n", " const label = document.createElement('label');\n", " label.textContent = `Downloading \"${filename}\": `;\n", " div.appendChild(label);\n", " const progress = document.createElement('progress');\n", " progress.max = size;\n", " div.appendChild(progress);\n", " document.body.appendChild(div);\n", "\n", " const buffers = [];\n", " let downloaded = 0;\n", "\n", " const channel = await google.colab.kernel.comms.open(id);\n", " // Send a message to notify the kernel that we're ready.\n", " channel.send({})\n", "\n", " for await (const message of channel.messages) {\n", " // Send a message to notify the kernel that we're ready.\n", " channel.send({})\n", " if (message.buffers) {\n", " for (const buffer of message.buffers) {\n", " buffers.push(buffer);\n", " downloaded += buffer.byteLength;\n", " progress.value = downloaded;\n", " }\n", " }\n", " }\n", " const blob = new Blob(buffers, {type: 'application/binary'});\n", " const a = document.createElement('a');\n", " a.href = window.URL.createObjectURL(blob);\n", " a.download = filename;\n", " div.appendChild(a);\n", " a.click();\n", " div.remove();\n", " }\n", " " ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "" ], "application/javascript": [ "download(\"download_9e09dc1e-e167-480f-b52f-3e53cbb2f295\", \"deepfashion_sample.zip\", 358637)" ] }, "metadata": {} } ] }, { "cell_type": "code", "source": [ "from datasets import load_dataset\n", "\n", "ds = load_dataset(\"Marqo/deepfashion-multimodal\", split=\"data\")\n", "\n", "print(\"Source: Hugging Face Datasets Hub\")\n", "print(\"Dataset:\", \"Marqo/deepfashion-multimodal\")\n", "print(\"Rows:\", len(ds))\n", "print(\"Columns:\", ds.column_names)\n", "print(\"Features:\", ds.features)\n" ], "metadata": { "id": "w7tmFNqz6M1k", "outputId": "626d6a84-d5b8-4db6-eb5a-c61a562469c9", "colab": { "base_uri": "https://localhost:8080/" } }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Source: Hugging Face Datasets Hub\n", "Dataset: Marqo/deepfashion-multimodal\n", "Rows: 42537\n", "Columns: ['image', 'category1', 'category2', 'category3', 'text', 'item_ID']\n", "Features: {'image': Image(mode=None, decode=True), 'category1': Value('string'), 'category2': Value('string'), 'category3': Value('float64'), 'text': Value('string'), 'item_ID': Value('string')}\n" ] } ] }, { "cell_type": "markdown", "source": [ "**5. Download the datataset from `HF` to the notebook. Check out the example.**\n" ], "metadata": { "id": "WqgxQ6Rv7Xft" } }, { "cell_type": "code", "source": [ "# Example\n", "# from datasets import load_dataset\n", "# ds = load_dataset(\"c2p-cmd/hass_avocado\")" ], "metadata": { "id": "wAC0wSYC7XnT" }, "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "source": [ "\n", "**6. Briefly describe your chosen dataset (source, size, features), as seen in the recitation multiple times.**" ], "metadata": { "id": "ezS5RwXc7Xrp" } }, { "cell_type": "markdown", "source": [ "We used the `Marqo/deepfashion-multimodal` dataset from the Hugging Face Datasets Hub. The dataset contains 42,537 samples, where each sample represents a fashion item with an `image` and accompanying metadata. The main features are: `image` (decoded image), `text` (string description), `item_ID` (string identifier), and hierarchical category fields `category1` (string), `category2` (string), and `category3` (float64 as provided in the dataset schema). This structure is well-suited for embedding-based similarity search and recommendation in a visual retrieval setting.\n" ], "metadata": { "id": "tQbFe-W87J41" } }, { "cell_type": "markdown", "source": [ "



" ], "metadata": { "id": "Sh2EvveysOP8" } }, { "cell_type": "markdown", "source": [ "# **Part 2: Exploratory Data Analysis**" ], "metadata": { "id": "TK5rEz6_sEdq" } }, { "cell_type": "markdown", "source": [ "Perform a basic **Exploratory Data Analysis (EDA)** on the choosen dataset.\n", "\n", "- Initial Data Inspection and Sanity Checks\n", "- Analyze Dataset Structure and Statistics\n" ], "metadata": { "id": "6XKtYb7-sD_P" } }, { "cell_type": "code", "source": [ "import os\n", "import random\n", "import numpy as np\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "from datasets import load_dataset\n", "import re\n", "\n", "SEED = 42\n", "random.seed(SEED)\n", "np.random.seed(SEED)\n", "os.environ[\"PYTHONHASHSEED\"] = str(SEED)\n", "\n", "ds = load_dataset(\"Marqo/deepfashion-multimodal\", split=\"data\")\n", "\n", "print(ds)\n", "print(\"Columns:\", ds.column_names)\n", "print(\"Features:\", ds.features)\n", "\n", "ex = ds[0]\n", "print(\"Example types:\", {k: type(v).__name__ for k, v in ex.items()})\n", "print(\"Example metadata:\", {k: ex.get(k) for k in [\"category1\", \"category2\", \"category3\", \"text\", \"item_ID\"]})\n", "\n", "df = ds.remove_columns([\"image\"]).to_pandas()\n", "\n", "print(\"\\nRows:\", len(df))\n", "missing_pct = (df.isna().mean() * 100).round(2).sort_values(ascending=False)\n", "print(\"\\nMissingness (%):\")\n", "print(missing_pct)\n", "\n", "print(\"\\nUnique item_ID:\", df[\"item_ID\"].nunique())\n", "print(\"Duplicate item_ID:\", df.duplicated(subset=[\"item_ID\"]).sum())\n", "\n", "category3_missing = float(df[\"category3\"].isna().mean() * 100) if \"category3\" in df.columns else None\n", "print(\"\\ncategory3 missing (%):\", category3_missing)\n", "\n", "if \"category3\" in df.columns and df[\"category3\"].isna().mean() == 1.0:\n", " df = df.drop(columns=[\"category3\"])\n", " print(\"category3 dropped from analysis (fully missing).\")\n", "\n", "c1_counts = df[\"category1\"].value_counts()\n", "c1_pct = (c1_counts / len(df) * 100).round(2)\n", "print(\"\\ncategory1 distribution (count):\")\n", "print(c1_counts)\n", "print(\"\\ncategory1 distribution (%):\")\n", "print(c1_pct)\n", "\n", "plt.figure()\n", "c1_counts.plot(kind=\"bar\")\n", "plt.title(\"category1 distribution\")\n", "plt.tight_layout()\n", "plt.show()\n", "\n", "c2_counts = df[\"category2\"].value_counts()\n", "c2_pct = (c2_counts / len(df) * 100).round(2)\n", "print(\"\\nNumber of category2 classes:\", c2_counts.shape[0])\n", "print(\"\\ncategory2 distribution (count):\")\n", "print(c2_counts)\n", "print(\"\\ncategory2 distribution (%):\")\n", "print(c2_pct)\n", "\n", "plt.figure(figsize=(10, 4))\n", "c2_counts.plot(kind=\"bar\")\n", "plt.title(\"category2 distribution\")\n", "plt.tight_layout()\n", "plt.show()\n", "\n", "head_k = 3\n", "head_share = float(c2_counts.head(head_k).sum() / c2_counts.sum() * 100)\n", "tail_share = float(c2_counts.tail(head_k).sum() / c2_counts.sum() * 100)\n", "print(f\"\\nHead vs tail: top {head_k} categories cover {head_share:.2f}% of the dataset.\")\n", "print(f\"Bottom {head_k} categories cover {tail_share:.2f}% of the dataset.\")\n", "\n", "ct = pd.crosstab(df[\"category2\"], df[\"category1\"])\n", "ct_norm = ct.div(ct.sum(axis=1), axis=0)\n", "\n", "print(\"\\ncategory2 x category1 (counts):\")\n", "print(ct)\n", "\n", "plt.figure(figsize=(6, 6))\n", "plt.imshow(ct_norm.values, aspect=\"auto\")\n", "plt.xticks(range(ct_norm.shape[1]), ct_norm.columns, rotation=45, ha=\"right\")\n", "plt.yticks(range(ct_norm.shape[0]), ct_norm.index)\n", "plt.title(\"category2 split by category1 (row-normalized)\")\n", "plt.colorbar()\n", "plt.tight_layout()\n", "plt.show()\n", "\n", "top_categories = c2_counts.head(6).index.tolist()\n", "\n", "def show_examples_by_category(dataset, categories, n_per_cat=3, seed=42):\n", " rng = random.Random(seed)\n", " n_cols = n_per_cat\n", " n_rows = len(categories)\n", " plt.figure(figsize=(n_cols * 3, n_rows * 3.5))\n", " for r, cat in enumerate(categories):\n", " idxs = [i for i in range(len(dataset)) if dataset[i][\"category2\"] == cat]\n", " picks = rng.sample(idxs, min(n_per_cat, len(idxs)))\n", " for c, idx in enumerate(picks):\n", " ex = dataset[idx]\n", " plt.subplot(n_rows, n_cols, r * n_cols + c + 1)\n", " plt.imshow(ex[\"image\"])\n", " plt.axis(\"off\")\n", " plt.title(f'{ex[\"category1\"]}/{ex[\"category2\"]}')\n", " plt.tight_layout()\n", " plt.show()\n", "\n", "show_examples_by_category(ds, top_categories, n_per_cat=3, seed=SEED)\n", "\n", "materials = [\n", " \"cotton\", \"denim\", \"polyester\", \"leather\", \"silk\", \"wool\", \"linen\", \"spandex\", \"rayon\", \"nylon\"\n", "]\n", "patterns = [\n", " \"plaid\", \"striped\", \"floral\", \"polka\", \"solid\", \"graphic\", \"print\", \"pattern\", \"lace\"\n", "]\n", "attributes = [\n", " \"sleeveless\", \"short sleeve\", \"long sleeve\", \"v-neck\", \"crew neck\", \"collar\", \"button\", \"zipper\",\n", " \"pockets\", \"mini\", \"midi\", \"maxi\", \"slim\", \"loose\", \"oversized\"\n", "]\n", "\n", "def contains_any(text, terms):\n", " t = str(text).lower()\n", " hits = []\n", " for term in terms:\n", " if re.search(r\"\\b\" + re.escape(term) + r\"\\b\", t):\n", " hits.append(term)\n", " return hits\n", "\n", "df_text = df[[\"category1\", \"category2\", \"text\"]].copy()\n", "\n", "df_text[\"material_hits\"] = df_text[\"text\"].apply(lambda x: contains_any(x, materials))\n", "df_text[\"pattern_hits\"] = df_text[\"text\"].apply(lambda x: contains_any(x, patterns))\n", "df_text[\"attribute_hits\"] = df_text[\"text\"].apply(lambda x: contains_any(x, attributes))\n", "\n", "material_freq = df_text[\"material_hits\"].explode().value_counts().dropna()\n", "pattern_freq = df_text[\"pattern_hits\"].explode().value_counts().dropna()\n", "attribute_freq = df_text[\"attribute_hits\"].explode().value_counts().dropna()\n", "\n", "print(\"\\nMost common materials (from text):\")\n", "print(material_freq.head(10))\n", "\n", "print(\"\\nMost common patterns (from text):\")\n", "print(pattern_freq.head(10))\n", "\n", "print(\"\\nMost common attributes (from text):\")\n", "print(attribute_freq.head(10))\n", "\n", "top_cat = c2_counts.index[0]\n", "df_topcat = df_text[df_text[\"category2\"] == top_cat]\n", "topcat_material = df_topcat[\"material_hits\"].explode().value_counts().dropna().head(10)\n", "\n", "print(f\"\\nTop materials within category2='{top_cat}':\")\n", "print(topcat_material)\n" ], "metadata": { "id": "NDfzxcP39rhR", "outputId": "68182b04-4b66-4209-bad6-3e859049c6e3", "colab": { "base_uri": "https://localhost:8080/", "height": 1000 } }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Dataset({\n", " features: ['image', 'category1', 'category2', 'category3', 'text', 'item_ID'],\n", " num_rows: 42537\n", "})\n", "Columns: ['image', 'category1', 'category2', 'category3', 'text', 'item_ID']\n", "Features: {'image': Image(mode=None, decode=True), 'category1': Value('string'), 'category2': Value('string'), 'category3': Value('float64'), 'text': Value('string'), 'item_ID': Value('string')}\n", "Example types: {'image': 'WebPImageFile', 'category1': 'str', 'category2': 'str', 'category3': 'NoneType', 'text': 'str', 'item_ID': 'str'}\n", "Example metadata: {'category1': 'men', 'category2': 'denim', 'category3': None, 'text': 'The lower clothing is of long length. The fabric is cotton and it has plaid patterns.', 'item_ID': 'MEN-Denim-id_00000080-01_7_additional'}\n", "\n", "Rows: 42537\n", "\n", "Missingness (%):\n", "category3 100.0\n", "category1 0.0\n", "category2 0.0\n", "text 0.0\n", "item_ID 0.0\n", "dtype: float64\n", "\n", "Unique item_ID: 42537\n", "Duplicate item_ID: 0\n", "\n", "category3 missing (%): 100.0\n", "category3 dropped from analysis (fully missing).\n", "\n", "category1 distribution (count):\n", "category1\n", "women 37577\n", "men 4960\n", "Name: count, dtype: int64\n", "\n", "category1 distribution (%):\n", "category1\n", "women 88.34\n", "men 11.66\n", "Name: count, dtype: float64\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "
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\n" }, "metadata": {} }, { "output_type": "stream", "name": "stdout", "text": [ "\n", "Number of category2 classes: 16\n", "\n", "category2 distribution (count):\n", "category2\n", "tees 13356\n", "blouses 7503\n", "dresses 6680\n", "sweaters 3322\n", "jackets 2164\n", "rompers 1627\n", "shorts 1514\n", "sweatshirts 1398\n", "cardigans 1382\n", "graphic 1096\n", "skirts 813\n", "pants 744\n", "shirts 569\n", "denim 243\n", "leggings 101\n", "suiting 25\n", "Name: count, dtype: int64\n", "\n", "category2 distribution (%):\n", "category2\n", "tees 31.40\n", "blouses 17.64\n", "dresses 15.70\n", "sweaters 7.81\n", "jackets 5.09\n", "rompers 3.82\n", "shorts 3.56\n", "sweatshirts 3.29\n", "cardigans 3.25\n", "graphic 2.58\n", "skirts 1.91\n", "pants 1.75\n", "shirts 1.34\n", "denim 0.57\n", "leggings 0.24\n", "suiting 0.06\n", "Name: count, dtype: float64\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "
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\n" }, "metadata": {} }, { "output_type": "stream", "name": "stdout", "text": [ "\n", "Head vs tail: top 3 categories cover 64.74% of the dataset.\n", "Bottom 3 categories cover 0.87% of the dataset.\n", "\n", "category2 x category1 (counts):\n", "category1 men women\n", "category2 \n", "blouses 0 7503\n", "cardigans 0 1382\n", "denim 97 146\n", "dresses 0 6680\n", "graphic 0 1096\n", "jackets 363 1801\n", "leggings 0 101\n", "pants 239 505\n", "rompers 0 1627\n", "shirts 569 0\n", "shorts 228 1286\n", "skirts 0 813\n", "suiting 25 0\n", "sweaters 470 2852\n", "sweatshirts 631 767\n", "tees 2338 11018\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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\n" }, "metadata": {} } ] }, { "cell_type": "code", "source": [], "metadata": { "id": "CVzOu7TVsJgX" }, "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "source": [ "



\n" ], "metadata": { "id": "JHFsnyh1sLI9" } }, { "cell_type": "markdown", "source": [ "# **Part 3: Embeddings**\n", "\n", "1. Selecting the Right Embedding Type\n", " * Use **image embeddings** (e.g., `clip`, `vit`, `img2vec`) for your visual data.\n", " * Use a *small-medium* model.\n", "\n", "\n", "2. Use a `HF` [model](https://huggingface.co/models?sort=downloads&search=vit) to create embeddings for your dataset.\n", " " ], "metadata": { "id": "Vw0vZsWcgjtm" } }, { "cell_type": "code", "source": [], "metadata": { "id": "wCnR1X5fyEL5" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [], "metadata": { "id": "GuOKiRRbyEZV" }, "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "source": [ "### 3. Embeddings Analysis\n", "\n", "\n", "\n" ], "metadata": { "id": "P16lP5X5ybcT" } }, { "cell_type": "markdown", "source": [ "Run at least one clustering algorithm; `K-Means`, `DBSCAN`, etc. \n", "\n", "Visualize the clusters using dimensionality reduction (`PCA`, `t-SNE`, `UMAP`).\n", "\n", "Give meaning to the clusters, think about what makes them distinct and are they useful...\n", "\n", "
\n", "\n", "*Tip: Work with a well-sized sample.*\n", "\n", "Aim for a balanced subset that preserves structure while staying computationally efficient.\n", " * Too large (e.g., 1M+ items) can be slow and noisy.\n", " * Too small (e.g., <1,000 items) may not reveal meaningful patterns." ], "metadata": { "id": "LPMDym7oyygf" } }, { "cell_type": "code", "source": [ "!pip -q install -U transformers datasets accelerate scikit-learn umap-learn pyarrow\n" ], "metadata": { "id": "EOayeJESzL6Z", "outputId": "5d4825b0-4960-47c5-9cab-7202e595a936", "colab": { "base_uri": "https://localhost:8080/" } }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m512.3/512.3 kB\u001b[0m \u001b[31m11.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m8.9/8.9 MB\u001b[0m \u001b[31m58.8 MB/s\u001b[0m eta 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"selected_indices = []\n", "rng = np.random.default_rng(SEED)\n", "\n", "for c in classes:\n", " idxs = df_meta.index[df_meta[\"category2\"] == c].to_numpy()\n", " take = min(per_class, len(idxs))\n", " chosen = rng.choice(idxs, size=take, replace=False)\n", " selected_indices.extend(chosen.tolist())\n", "\n", "selected_indices = selected_indices[:target_n]\n", "ds_sample = ds.select(selected_indices)\n", "\n", "df_sample = ds_sample.remove_columns([\"image\"]).to_pandas()\n", "print(\"Sample size:\", len(df_sample))\n", "print(\"\\nSample category2 distribution (top 10):\")\n", "print(df_sample[\"category2\"].value_counts().head(10))\n" ], "metadata": { "id": "RtRWnB1yzOLl", "outputId": "8e79bd3c-2321-41ed-ddf7-45a47b7349f1", "colab": { "base_uri": "https://localhost:8080/", "height": 549, "referenced_widgets": [ "2030e7c83b624860a3b82a3994af7b20", "441132eadbf644f3a6ca6c473c6438e9", "c5cbea3af0c1444ea7647563dbb23a41", "5bedeef840fd427594d84ba79c0d4342", "99c6fa0ed26c4180b26112ca1d4decc5", "dc8022f138334e63b62c2e1fa888d58a", "e73c0240ccf14e5b80ae1ab2a3cde864", "cc45baf59c484296b34e0b7b347b1331", "3490ba212a3a4779874ef5826fa20692", "faf27720651547148d49291b07ad96c3", "3f81d2dab54244d9bfd0591622483fe5", "e876c64658c346258752e1abcc98c312", "77b5aed675b64a1380ecb781156a7484", "244fa6e78eae449095c329cac88bbf0a", "4fb938f991544d2689ac51ba3a381ab1", "c828bd234da34479921481f4158eb54b", "7898ae896253469a956bee5a17397fb7", "db783690e08549bbb1b9df68d6469576", "2b3b522331b94df8b5ed7b8b7df1baf2", "55afa13d47c04383a6a9a1fe0b22e7ff", "921b4dcbd4fa4738a71eed6edeaa549e", "1f7d00c3ca504e43a36512fbf91d89ed", "bca67d8018014df38fd3fecdb6d7c59a", "4c0b9885bc864e37ab015cbfed3159e1", "50cb64a859124e0aac07b9a43122eb05", "d83eee3787a0438fb54ac87a36861ccc", "d31afae9abfa48e0beee57861d33ecc4", "8680781b86b34878a79ca154fdb389ef", "48926de686334326be0af5ee5428b969", "a2260b967f714c57895ad52df3d72c53", "1cf1bed19e7f47e280c99f616025f840", "f5a7e395da86472f9f107a982887ad11", "d2689785f19e4ee6a78b46b9ecc7743b" ] } }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stderr", "text": [ "/usr/local/lib/python3.12/dist-packages/huggingface_hub/utils/_auth.py:94: 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" ] }, { "output_type": "display_data", "data": { "text/plain": [ "README.md: 0.00B [00:00, ?B/s]" ], "application/vnd.jupyter.widget-view+json": { "version_major": 2, "version_minor": 0, "model_id": "2030e7c83b624860a3b82a3994af7b20" } }, "metadata": {} }, { "output_type": 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\n" }, "metadata": {} }, { "output_type": "stream", "name": "stderr", "text": [ "/usr/local/lib/python3.12/dist-packages/umap/umap_.py:1952: UserWarning: n_jobs value 1 overridden to 1 by setting random_state. Use no seed for parallelism.\n", " warn(\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "
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\n" 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\n" }, "metadata": {} } ] }, { "cell_type": "markdown", "source": [ "##### **3.3. Assess whether the clusters are coherent and make intuitive sense.**\n" ], "metadata": { "id": "EsuDU63ny6qK" } }, { "cell_type": "code", "source": [], "metadata": { "id": "CgsCptyzyz4U" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [], "metadata": { "id": "CmCt-hAUy0UM" }, "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "source": [ "*Suggestion: Save the embeddings in a parquet/JSON/csv file so you could use them for recommendations later.*" ], "metadata": { "id": "ne7qIv34Fw1c" } }, { "cell_type": "code", "source": [], "metadata": { "id": "N07noC4aFw8o" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [], "metadata": { "id": "8dJCh-44Fw-t" }, "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "source": [ "



" ], "metadata": { "id": "4nq27dXhyE4z" } }, { "cell_type": "markdown", "source": [ "# **Part 4: Inputs & Outputs**\n", "\n", "Start by implementing core functionality as standalone Python functions. \n", "*This modular approach will make it easier to build, test, and maintain.*\n", "\n", "
\n", "\n", "Choose one/two types of inputs:\n", "- Image Input: Let users upload an image as an input.\n", "- Text Input: Accept a textual description from the user.\n", "- Output: Return personalized recommendations based on the provided inputs, from your dataset.\n", "\n", "\n", "
\n", "\n", "Examples:\n", "\n", "> `Input:` An image of a movie poster. \n", "> `Output:` Recommended similar movies. \n", "> (textual example provided bellow) \n", "\n", "> `Input:` A photo of a person. \n", "> `Output:` Similar-looking celebrities.\n", "\n", "> `Input:` Describe an episode of Seinfeld. \n", "> `Output:` Return the top 3 episodes posters that best match the description.\n", "\n", "> `Input:` A picture of a dress. \n", "> `Output:` Return the top 3 shoes to fit the dress.\n", "\n", "\n", "Design the app to be clear and user-friendly. \n", "Add instructions, components, or interface elements as needed to ensure a smooth user experience.\n", "\n", "
\n" ], "metadata": { "id": "EsX8S9Mtgjvu" } }, { "cell_type": "code", "source": [], "metadata": { "id": "cY2B_K-H6QEK" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [], "metadata": { "id": "djPmfywA9vlp" }, "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "source": [ "##### **4.1 Prepare Embeddings**\n", "\n", "Save the embeddings in a parquet/JSON/csv file." ], "metadata": { "id": "P7Jc2TrIGXVD" } }, { "cell_type": "code", "source": [], "metadata": { "id": "NxCk7rBvGcU1" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [], "metadata": { "id": "d5HQ80v7GcWt" }, "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "source": [ "##### **4.2 User Input**\n", "\n", "Anytime the user gives an input, use the model to convert the input to an embedding vector." ], "metadata": { "id": "8A6cidw7GfnH" } }, { "cell_type": "code", "source": [], "metadata": { "id": "WZ1wQ9kuG-eh" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [], "metadata": { "id": "8cW73Dq5G-gn" }, "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "source": [ "##### **4.3 Similarity Scores**\n", "\n", "Use `Cosine Similarity` to calculate how \"close\" the user input vector to the embeddings of your dataset." ], "metadata": { "id": "r0GkrsCXGP9i" } }, { "cell_type": "code", "source": [], "metadata": { "id": "5rpVnwM7GQCW" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [], "metadata": { "id": "X1ENOt08GQEg" }, "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "source": [ "##### **4.4 Top3 Elements**\n", "\n", "Find the top3 similarity scores, and return the corresponding elements." ], "metadata": { "id": "me8Z4mclHL5a" } }, { "cell_type": "code", "source": [], "metadata": { "id": "OGibK3nHHMAR" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [], "metadata": { "id": "zk-6FyHoHMCg" }, "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "source": [ "



" ], "metadata": { "id": "Rkl3Oj5H8Vys" } }, { "cell_type": "markdown", "source": [ "# **Part 5: Space on HuggingFace**\n", "\n", "Host your `Gradio` application on `HF`'s Spaces.\n", "\n", "1. Go to huggingfcace.\n", "2. Open a new space.\n", "3. Upload your code.\n", "4. Make sure it works well.\n", "\n" ], "metadata": { "id": "I3BILBOcgjxz" } }, { "cell_type": "code", "source": [], "metadata": { "id": "5RpaziEH85jS" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [], "metadata": { "id": "dT1vKB9p0O-5" }, "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "source": [ "Examples:\n", "\n", "[Book-Recommender](https://huggingface.co/spaces/saugatadk101/AI-Book-Recommender)\n", "\n", "[WOLT-Recommender](https://huggingface.co/spaces/almogra/Wolt_Food_Recommender_PRO)\n" ], "metadata": { "id": "mtG0dVKz1Unj" } }, { "cell_type": "code", "source": [], "metadata": { "id": "78CcMlVu0O_y" }, "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "source": [ "



" ], "metadata": { "id": "nwnQMLHU8cFz" } }, { "cell_type": "markdown", "source": [ "# **Part 6: Presentation Video**\n", "\n", "- Record a brief video (3–5 minutes) with screen sharing of you walk through the HF's space repository. You should present:\n", "> - Your app working\n", "> - DATASET\n", "> - Model\n", "> - Embeddings\n", "> - Clustering\n", "> - etc...\n", "\n", "- As always, include a screen share while also recording yourself talking during the walk through.\n", "\n", "- Each member should talk between 2-3 minutes.\n", "\n", "- The recording will include sharing the screen, and you talking to the camera (show yourself in a circle on the bottom).\n", "\n", "- Videos without your face talking while going ower your work wont be acceptable.\n", "\n", "Make sure: The video will include you actually using the app on HF space.\n", "\n" ], "metadata": { "id": "6LJMtEmLgj35" } }, { "cell_type": "code", "source": [], "metadata": { "id": "tTw9B5V486gP" }, "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "source": [ "Please embed the video presentation to your HF Space. \n", "*(or include a public link)*" ], "metadata": { "id": "aVretAVa3ASK" } }, { "cell_type": "code", "source": [ "# import gradio as gr\n", "\n", "# with gr.Blocks() as demo:\n", "# gr.HTML(\"\"\"\n", "# \n", "# \"\"\")\n", "\n", "# demo.launch()" ], "metadata": { "id": "2ovXB7O-3AZk" }, "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "source": [ "



" ], "metadata": { "id": "g98sDaON57kO" } }, { "cell_type": "markdown", "source": [ "## **Part 7: Submition**\n", "On Moodle, both students should submit a simple text as follow:\n", "\n", "```\n", " Name1:\n", " Name2:\n", " HF-Space-link:\n", "```\n", "\n", "Make sure the links are public/accessible.\n", "\n", "
\n", "\n", "Example for a good link: \n", "`https://huggingface.co/spaces/marketeam/agent-email`\n", "\n", "\n", "Example for wrong links: \n", "`https://huggingface.co/spaces/marketeam/agent-email/tree/main` \n", "`https://huggingface.co/spaces/marketeam/agent-email/blob/main/app.py` \n", "`https://huggingface.co/spaces/marketeam/agent-email/blob/main/README.md` \n", "\n", "
\n", "\n", "And if you choose to submit this assignment alone, please submit a simple text as follow:\n", "```\n", " Name1:\n", " HF-Space-link:\n", "```\n" ], "metadata": { "id": "HB2HSpctGVP-" } }, { "cell_type": "code", "source": [], "metadata": { "id": "tbu5ROyBFYqD" }, "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "source": [ "
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" ], "metadata": { "id": "_uZ-Dxkd8sGF" } }, { "cell_type": "code", "source": [ "# Good luck! :)" ], "metadata": { "id": "DmmNaEV18qYM" }, "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "source": [ "
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" ], "metadata": { "id": "6SQtwWy-nBRx" } }, { "cell_type": "markdown", "source": [ "# Example: Demo App" ], "metadata": { "id": "iw-08gQ7msz4" } }, { "cell_type": "code", "source": [ "import os\n", "import time\n", "import json\n", "import random\n", "\n", "import numpy as np\n", "import pandas as pd\n", "\n", "import gradio as gr\n", "import matplotlib.pyplot as plt\n", "\n", "import torch\n", "from datasets import load_dataset\n", "from sentence_transformers import SentenceTransformer, util" ], "metadata": { "id": "wK6HxaAkLh6b" }, "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "source": [ "## Set Up HuggingFace connection" ], "metadata": { "id": "pIE9bH-nLbSk" } }, { "cell_type": "markdown", "source": [ "✅ Here's how to set your HF_TOKEN securely in Colab:\n", "\n", "🔐 Step 1: Get your Hugging Face Token\n", "> Go to https://huggingface.co/settings/tokens\n", "> Create a read token (copy it)\n", "\n", "🧪 Step 2: Use It in Colab\n", "You can either set it temporarily in your script, or store it in an environment variable:\n", "\n", "```\n", "# Paste your token here\n", "os.environ[\"HF_TOKEN\"] = \"your_hf_token_here\"\n", "```" ], "metadata": { "id": "k3Um2vuDLfve" } }, { "cell_type": "code", "source": [ "# TODO" ], "metadata": { "id": "Oxt76ujRLg0-" }, "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "source": [ "Check that it works:" ], "metadata": { "id": "QeBVIg2VMRAb" } }, { "cell_type": "code", "source": [ "sentences = [\"This is an example sentence\", \"Each sentence is converted\"]\n", "\n", "model = SentenceTransformer('sentence-transformers/all-MiniLM-L6-v2')\n", "embeddings = model.encode(sentences)\n", "\n", "print('The vector embeddings size is: ', len(embeddings[0]))" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "szd8vk4NMRE8", "outputId": "d30d89b9-f24a-44c3-fe6d-d64ad85ce154" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "The vector embeddings size is: 384\n" ] } ] }, { "cell_type": "markdown", "source": [ "## GPU\n", "\n", "1. Open your notebook environment and go to **Settings** or **Runtime Settings**.\n", "2. Locate the **Hardware Accelerator** option.\n", "3. From the available accelerator types, select **GPU**.\n", "4. Choose **T4** as the specific GPU type.\n", "5. Click **Save** (or **Apply**) to confirm the changes.\n", "6. **Restart the notebook** to activate GPU support.\n" ], "metadata": { "id": "aKL4mmo_XW68" } }, { "cell_type": "code", "source": [ "device = \"cuda\" if torch.cuda.is_available() else \"cpu\"\n", "print(f\"Using device: {device}\")" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "P536x0saXb-S", "outputId": "8c9d8fc4-fb0d-424b-998a-d4357c1d9842" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Using device: cuda\n" ] } ] }, { "cell_type": "markdown", "source": [ "Put the model on the `GPU`" ], "metadata": { "id": "JNV-r5mIYWsK" } }, { "cell_type": "code", "source": [ "model = SentenceTransformer(\"all-MiniLM-L6-v2\", device=device)" ], "metadata": { "id": "vj2xoeWUYWwM" }, "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "source": [ "## Data\n", "\n", "Load dataset form HuggingFace" ], "metadata": { "id": "z4nWT3hlNgDI" } }, { "cell_type": "code", "source": [ "dataset = pd.read_csv(\"hf://datasets/Pablinho/movies-dataset/9000plus.csv\")\n", "dataset.head()\n", "\n", "# another option\n", "# dataset = load_dataset(\"Pablinho/movies-dataset\")" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 206 }, "id": "qaUuwjAIPW8U", "outputId": "7ede8659-fef8-4d10-b388-076d7d92a427" }, "execution_count": null, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ " Release_Date Title \\\n", "0 2021-12-15 Spider-Man: No Way Home \n", "1 2022-03-01 The Batman \n", "2 2022-02-25 No Exit \n", "3 2021-11-24 Encanto \n", "4 2021-12-22 The King's Man \n", "\n", " Overview Popularity Vote_Count \\\n", "0 Peter Parker is unmasked and no longer able to... 5083.954 8940 \n", "1 In his second year of fighting crime, Batman u... 3827.658 1151 \n", "2 Stranded at a rest stop in the mountains durin... 2618.087 122 \n", "3 The tale of an extraordinary family, the Madri... 2402.201 5076 \n", "4 As a collection of history's worst tyrants and... 1895.511 1793 \n", "\n", " Vote_Average Original_Language Genre \\\n", "0 8.3 en Action, Adventure, Science Fiction \n", "1 8.1 en Crime, Mystery, Thriller \n", "2 6.3 en Thriller \n", "3 7.7 en Animation, Comedy, Family, Fantasy \n", "4 7.0 en Action, Adventure, Thriller, War \n", "\n", " Poster_Url \n", "0 https://image.tmdb.org/t/p/original/1g0dhYtq4i... \n", "1 https://image.tmdb.org/t/p/original/74xTEgt7R3... \n", "2 https://image.tmdb.org/t/p/original/vDHsLnOWKl... \n", "3 https://image.tmdb.org/t/p/original/4j0PNHkMr5... \n", "4 https://image.tmdb.org/t/p/original/aq4Pwv5Xeu... 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Release_DateTitleOverviewPopularityVote_CountVote_AverageOriginal_LanguageGenrePoster_Url
02021-12-15Spider-Man: No Way HomePeter Parker is unmasked and no longer able to...5083.95489408.3enAction, Adventure, Science Fictionhttps://image.tmdb.org/t/p/original/1g0dhYtq4i...
12022-03-01The BatmanIn his second year of fighting crime, Batman u...3827.65811518.1enCrime, Mystery, Thrillerhttps://image.tmdb.org/t/p/original/74xTEgt7R3...
22022-02-25No ExitStranded at a rest stop in the mountains durin...2618.0871226.3enThrillerhttps://image.tmdb.org/t/p/original/vDHsLnOWKl...
32021-11-24EncantoThe tale of an extraordinary family, the Madri...2402.20150767.7enAnimation, Comedy, Family, Fantasyhttps://image.tmdb.org/t/p/original/4j0PNHkMr5...
42021-12-22The King's ManAs a collection of history's worst tyrants and...1895.51117937.0enAction, Adventure, Thriller, Warhttps://image.tmdb.org/t/p/original/aq4Pwv5Xeu...
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "summary": "{\n \"name\": \"# dataset = load_dataset(\\\"Pablinho/movies-dataset\\\")\",\n \"rows\": 5,\n \"fields\": [\n {\n \"column\": \"Release_Date\",\n \"properties\": {\n \"dtype\": \"object\",\n \"num_unique_values\": 5,\n \"samples\": [\n \"2022-03-01\",\n \"2021-12-22\",\n \"2022-02-25\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Title\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 5,\n \"samples\": [\n \"The Batman\",\n \"The King's Man\",\n \"No Exit\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Overview\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 5,\n \"samples\": [\n \"In his second year of fighting crime, Batman uncovers corruption in Gotham City that connects to his own family while facing a serial killer known as the Riddler.\",\n \"As a collection of history's worst tyrants and criminal masterminds gather to plot a war to wipe out millions, one man must race against time to stop them.\",\n \"Stranded at a rest stop in the mountains during a blizzard, a recovering addict discovers a kidnapped child hidden in a car belonging to one of the people inside the building which sets her on a terrifying struggle to identify who among them is the kidnapper.\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Popularity\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 1285.8924315030008,\n \"min\": 1895.511,\n \"max\": 5083.954,\n \"num_unique_values\": 5,\n \"samples\": [\n 3827.658,\n 1895.511,\n 2618.087\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Vote_Count\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 5,\n \"samples\": [\n \"1151\",\n \"1793\",\n \"122\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Vote_Average\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 5,\n \"samples\": [\n \"8.1\",\n \"7.0\",\n \"6.3\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Original_Language\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"en\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Genre\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 5,\n \"samples\": [\n \"Crime, Mystery, Thriller\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Poster_Url\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 5,\n \"samples\": [\n \"https://image.tmdb.org/t/p/original/74xTEgt7R36Fpooo50r9T25onhq.jpg\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {}, "execution_count": 7 } ] }, { "cell_type": "markdown", "source": [ "If you want to focus on N examples" ], "metadata": { "id": "butomIi-UF9z" } }, { "cell_type": "code", "source": [ "# dataset = dataset[:100].copy()" ], "metadata": { "id": "oXJXhdWLUGGq" }, "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "source": [ "Focus on specific columns" ], "metadata": { "id": "6b6qQe9GTTVj" } }, { "cell_type": "code", "source": [ "dataset = dataset[['Release_Date','Title', 'Overview']].copy()" ], "metadata": { "id": "JINPJ2oJTU5D" }, "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "source": [ "Combine `Title` and `Overview` into a new column `full_text`\n" ], "metadata": { "id": "4SoMQ1XxTYl0" } }, { "cell_type": "code", "source": [ "dataset['full_text'] = dataset['Title'] + \" : \" + dataset['Overview']\n", "dataset.head()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 206 }, "id": "Vr_9GydyQuuO", "outputId": "ddde11ac-beb2-4e7f-f068-951a5468ac34" }, "execution_count": null, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ " Release_Date Title \\\n", "0 2021-12-15 Spider-Man: No Way Home \n", "1 2022-03-01 The Batman \n", "2 2022-02-25 No Exit \n", "3 2021-11-24 Encanto \n", "4 2021-12-22 The King's Man \n", "\n", " Overview \\\n", "0 Peter Parker is unmasked and no longer able to... \n", "1 In his second year of fighting crime, Batman u... \n", "2 Stranded at a rest stop in the mountains durin... \n", "3 The tale of an extraordinary family, the Madri... \n", "4 As a collection of history's worst tyrants and... \n", "\n", " full_text \n", "0 Spider-Man: No Way Home : Peter Parker is unma... \n", "1 The Batman : In his second year of fighting cr... \n", "2 No Exit : Stranded at a rest stop in the mount... \n", "3 Encanto : The tale of an extraordinary family,... \n", "4 The King's Man : As a collection of history's ... " ], "text/html": [ "\n", "
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "variable_name": "dataset", "summary": "{\n \"name\": \"dataset\",\n \"rows\": 9837,\n \"fields\": [\n {\n \"column\": \"Release_Date\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 5903,\n \"samples\": [\n \"1978-01-08\",\n \"2005-07-22\",\n \"2008-07-12\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Title\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 9514,\n \"samples\": [\n \"The Rescuers\",\n \"Van Wilder: Freshman Year\",\n \"Stalked by My Neighbor\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Overview\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 9823,\n \"samples\": [\n \"Billy is released after five years in prison. In the next moment, he kidnaps teenage student Layla and visits his parents with her, pretending she is his girlfriend and they will soon marry.\",\n \"While sorting through a mess of books in the staff room, Ohana happens upon one of Denroku's log books from long ago. Within it, it recounts a story of Ohana's mom when she was the same age as her.\",\n \"A young Los Angeles couple Tara and Sam fall head over heels into a new romance, entwining their lives\\u2014until their intimacy transforms into something terrifying.\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"full_text\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 9827,\n \"samples\": [\n \"Bound : The daughter of a wealthy real estate mogul falls in love with a younger man, and she is introduced to the world of BDSM. With her newly awakened sexual prowess, she is finally able to take control of her life.\",\n \"Juice : Four Harlem friends -- Bishop, Q, Steel and Raheem -- dabble in petty crime, but they decide to go big by knocking off a convenience store. Bishop, the magnetic leader of the group, has the gun. But Q has different aspirations. He wants to be a DJ and happens to have a gig the night of the robbery. Unfortunately for him, Bishop isn't willing to take no for answer in a game where everything's for keeps.\",\n \"Beowulf : Beowulf is a wanderer who learns about a man-eating creature called Grendel, which comes in the night to devour warriors trapped at the Outpost. The Outpost is ruled by Hrothgar. He has a daughter, whose husband may have been murdered by the Outpost's master of arms.\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {}, "execution_count": 10 } ] }, { "cell_type": "markdown", "source": [ "Vector Embeddings (going to take 1-2minutes)" ], "metadata": { "id": "CuMoNE2ePyUe" } }, { "cell_type": "code", "source": [ "embeddings = model.encode(dataset[\"full_text\"], convert_to_tensor=True,show_progress_bar=True,batch_size=32, device=device)\n", "dataset['embeddings'] = embeddings.tolist()\n", "\n", "dataset.head()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 238, "referenced_widgets": [ "b000f34e6b6146759c9fae5d65164197", "25429047ef2b48d5bab95f85d45b433b", "448676e57ea443c7a550af811a9d7d7d", "dcd8bec27c3545b196647016419f6a3f", "a5eeaaa654dd4d10a9135a1f687eccb2", "92b358cf716c443cb129e95b7c77a7c2", "1d2c7609c93f452c90f302f198594d4a", "32f0774ffc1a42f5ba49251ce88e3efa", "5ce116c418b64f40acf20db17c29caf8", "2915fad36da34888913026a67fb16490", "1a5efa63369546ec9340611502e4f4d8" ] }, "id": "OMGstAUQP_0t", "outputId": "badeecf5-7900-4077-c944-57274dcf4c9e" }, "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "Batches: 0%| | 0/308 [00:00\n", "
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Release_DateTitleOverviewfull_textembeddings
02021-12-15Spider-Man: No Way HomePeter Parker is unmasked and no longer able to...Spider-Man: No Way Home : Peter Parker is unma...[-0.010101491585373878, -0.019888296723365784,...
12022-03-01The BatmanIn his second year of fighting crime, Batman u...The Batman : In his second year of fighting cr...[-0.02383565716445446, 0.03111363761126995, -0...
22022-02-25No ExitStranded at a rest stop in the mountains durin...No Exit : Stranded at a rest stop in the mount...[-0.06256069242954254, 0.10735838860273361, -0...
32021-11-24EncantoThe tale of an extraordinary family, the Madri...Encanto : The tale of an extraordinary family,...[-0.0029927114956080914, -0.005705276969820261...
42021-12-22The King's ManAs a collection of history's worst tyrants and...The King's Man : As a collection of history's ...[-0.06611436605453491, 0.09120751172304153, -0...
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\n", " \n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "variable_name": "dataset", "summary": "{\n \"name\": \"dataset\",\n \"rows\": 9837,\n \"fields\": [\n {\n \"column\": \"Release_Date\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 5903,\n \"samples\": [\n \"1978-01-08\",\n \"2005-07-22\",\n \"2008-07-12\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Title\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 9514,\n \"samples\": [\n \"The Rescuers\",\n \"Van Wilder: Freshman Year\",\n \"Stalked by My Neighbor\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Overview\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 9823,\n \"samples\": [\n \"Billy is released after five years in prison. In the next moment, he kidnaps teenage student Layla and visits his parents with her, pretending she is his girlfriend and they will soon marry.\",\n \"While sorting through a mess of books in the staff room, Ohana happens upon one of Denroku's log books from long ago. Within it, it recounts a story of Ohana's mom when she was the same age as her.\",\n \"A young Los Angeles couple Tara and Sam fall head over heels into a new romance, entwining their lives\\u2014until their intimacy transforms into something terrifying.\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"full_text\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 9827,\n \"samples\": [\n \"Bound : The daughter of a wealthy real estate mogul falls in love with a younger man, and she is introduced to the world of BDSM. With her newly awakened sexual prowess, she is finally able to take control of her life.\",\n \"Juice : Four Harlem friends -- Bishop, Q, Steel and Raheem -- dabble in petty crime, but they decide to go big by knocking off a convenience store. Bishop, the magnetic leader of the group, has the gun. But Q has different aspirations. He wants to be a DJ and happens to have a gig the night of the robbery. Unfortunately for him, Bishop isn't willing to take no for answer in a game where everything's for keeps.\",\n \"Beowulf : Beowulf is a wanderer who learns about a man-eating creature called Grendel, which comes in the night to devour warriors trapped at the Outpost. The Outpost is ruled by Hrothgar. He has a daughter, whose husband may have been murdered by the Outpost's master of arms.\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"embeddings\",\n \"properties\": {\n \"dtype\": \"object\",\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {}, "execution_count": 11 } ] }, { "cell_type": "markdown", "source": [ "Recommendation function" ], "metadata": { "id": "UEOrcw4ENq4N" } }, { "cell_type": "code", "source": [ "EMBEDDINGS = torch.tensor(dataset[\"embeddings\"].tolist(), device=device)\n", "\n", "# Recommendation function\n", "def recommend_items(user_input):\n", " if not user_input.strip():\n", " return \"Please enter some text.\"\n", "\n", " user_embedding = model.encode(user_input, convert_to_tensor=True,device=device)\n", " similarities = util.cos_sim(user_embedding, EMBEDDINGS)[0]\n", " top_indices = similarities.argsort(descending=True)[:5]\n", "\n", " print(top_indices)\n", "\n", " results = []\n", " for i in top_indices:\n", " row = dataset.iloc[i.item()] # Use .item() to convert tensor to int\n", " results.append(f\"🎬 {row['Title']} ({row['Release_Date']})\")\n", "\n", " return \"\\n\\n\".join(results)" ], "metadata": { "id": "D2uYrcy0Np2h" }, "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "source": [ "Testing the functions" ], "metadata": { "id": "LWjR1FUAaLbX" } }, { "cell_type": "code", "source": [ "recommend_items(\"Spider Man\")" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 52 }, "id": "5v1zR_IIZ4hS", "outputId": "b759069e-0f19-4b49-d2aa-20cfa2bcce36" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "tensor([7949, 170, 201, 1373, 1500], device='cuda:0')\n" ] }, { "output_type": "execute_result", "data": { "text/plain": [ "\"🎬 Beyond the Ultimate Spin: The Making of 'Spider-Man' (2002-04-20)\\n\\n🎬 Spider-Man (2002-05-01)\\n\\n🎬 Spider-Man 3 (2007-05-01)\\n\\n🎬 Spider-Man 2 (2004-06-25)\\n\\n🎬 Spider-Man (1977-09-14)\"" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "string" } }, "metadata": {}, "execution_count": 27 } ] }, { "cell_type": "markdown", "source": [ "## Ruuning the APP" ], "metadata": { "id": "78thppyNnJX1" } }, { "cell_type": "markdown", "source": [ "The following in a simple demo gradio app, for getting recommended articles from a predefined list of articles." ], "metadata": { "id": "5yX4YOzzF8EU" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 645 }, "id": "13TykXJEEyo-", "outputId": "934784d0-e460-4407-bf67-d529eb3e60b2" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "It looks like you are running Gradio on a hosted a Jupyter notebook. For the Gradio app to work, sharing must be enabled. Automatically setting `share=True` (you can turn this off by setting `share=False` in `launch()` explicitly).\n", "\n", "Colab notebook detected. To show errors in colab notebook, set debug=True in launch()\n", "* Running on public URL: https://6bfef30e2b69e2b572.gradio.live\n", "\n", "This share link expires in 1 week. For free permanent hosting and GPU upgrades, run `gradio deploy` from the terminal in the working directory to deploy to Hugging Face Spaces (https://huggingface.co/spaces)\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "" ], "text/html": [ "
" ] }, "metadata": {} }, { "output_type": "execute_result", "data": { "text/plain": [] }, "metadata": {}, "execution_count": 36 } ], "source": [ "# Gradio Interface\n", "iface = gr.Interface(\n", " fn = recommend_items,\n", " inputs = gr.Textbox(lines=3, label=\"Describe a movie you'd like to watch\"),\n", " outputs = gr.Textbox(label=\"Top 3 Recommended Movies\", lines=12),\n", " title = \"🎥 Movie Recommender (Semantic Search)\",\n", " article = \"**Made by Sahar Miilis, Ilana Sivan, Oshri Dudi**\" ,\n", ")\n", "\n", "iface.launch()" ] } ] }