{"id":26235779,"url":"https://github.com/nlqthinh/weaviateanime","last_synced_at":"2026-04-24T11:07:21.639Z","repository":{"id":278590803,"uuid":"936120317","full_name":"nlqthinh/WeaviateAnime","owner":"nlqthinh","description":"Explore your favorite anime with this interactive search app! 🚀 This project leverages Weaviate for vector search and Gradio for a seamless user interface. 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The app allows users to search for anime using embeddings stored in a Weaviate database. \n\n---\n\n## Prerequisites\n\nBefore getting started, ensure you have the following installed on your system:\n\n- Python (3.10.6)\n- Docker and Docker Compose\n\n---\n\n## Installation\n\nFollow these steps to set up and run the application:\n\n### 1. Install Required Python Libraries\n\nRun the following command to install the necessary Python dependencies:\n\n```bash\npip install weaviate-client pandas\n```\n\n### 2. Start Weaviate Using Docker\n\nUse Docker Compose to spin up a Weaviate instance:\n\n```bash\ndocker-compose up -d\n```\n\nThis will start a local Weaviate server that will store and manage the anime data.\n\n### 3. Preprocess the Dataset (Optional)\nThis dataset has been preprocess so you don't need to run this. But if you want to preprocess a custom dataset, modify the `clean-dataset.py` file according to your needs. Once modified, run the script:\n\n```bash\npython clean-dataset.py\n```\n\nThe original dataset from: https://www.kaggle.com/datasets/andreuvallhernndez/myanimelist-jikan\n### 4. Create a Collection in Weaviate\n\nRun the following script to create the anime collection and insert the dataset into the Weaviate instance:\n\n```bash\npython create-collection.py\n```\n\nWait for the data to be inserted into Weaviate. Once the process is complete, you should see output similar to this:\n\n![Collection Created](image/Anh8.png)\n\nThis process taking pretty much time depend on your dataset.\n\n### 5. Launch the Anime Search App\n\nRun the search application:\n\n```bash\npython search-anime.py\n```\n\nAfter the script starts, you’ll see a local URL (e.g., `http://127.0.0.1:7860`). Open this URL in your browser to interact with the app.\n\n![Anime Search App Running](image/Anh7.png)\n\nenjoy\n\n![Anime Search Running](image/Anh9.png)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnlqthinh%2Fweaviateanime","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnlqthinh%2Fweaviateanime","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnlqthinh%2Fweaviateanime/lists"}