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metadata
title: Bookmark Manager
emoji: 😻
colorFrom: yellow
colorTo: pink
sdk: gradio
sdk_version: 5.5.0
app_file: app.py
pinned: false

Bookmark Manager App

Welcome to the Bookmark Manager App! This application allows you to upload your browser bookmarks, process them to extract useful information, and interact with them using a chatbot interface.

Features

  • Upload Bookmarks: Import an HTML file containing your browser bookmarks.
  • Data Extraction: Extracts URL, website name, meta tags, and ETags from each bookmark.
  • Content Summarization: Generates a brief summary of each bookmark's content using a free language model.
  • Vectorization and Storage: Vectorizes the data and stores it in a FAISS vector database for efficient retrieval.
  • Chatbot Interaction: Chat with your bookmarks to retrieve information based on your queries.
  • Bookmark Management: Edit or delete bookmarks directly within the app.
  • Dead Link Detection: Identifies and marks broken or dead links prominently.
  • User-Friendly Interface: Improved interface with pleasant styling and clickable links.

How to Use

  1. Upload and Process Bookmarks

    • Navigate to the "Upload and Process Bookmarks" tab.
    • Click on "Upload Bookmarks HTML File" and select your bookmarks HTML file.
    • Click "Process Bookmarks" to start processing.
    • After processing, your bookmarks will be displayed with relevant data, and dead links will be highlighted.

  2. Chat with Your Bookmarks

    • Go to the "Chat with Bookmarks" tab.
    • Enter a query in natural language to search your bookmarks.
    • Click "Send" to get responses related to your query.

  3. Manage Your Bookmarks

    • Access the "Manage Bookmarks" tab.
    • Click "Refresh Bookmark List" to view all bookmarks.
    • To edit a bookmark:
      • Enter the bookmark's index number.
      • Provide a new title and/or URL.
      • Click "Edit Bookmark".
    • To delete a bookmark:
      • Enter the bookmark's index number.
      • Click "Delete Bookmark".

Requirements

  • Python Libraries: The app uses the following Python libraries:
    • gradio
    • beautifulsoup4
    • requests
    • transformers
    • sentence-transformers
    • faiss-cpu
    • pandas

Models Used

  • Summarization Model: sshleifer/distilbart-cnn-6-6 from Hugging Face Transformers.
  • Embedding Model: all-MiniLM-L6-v2 from SentenceTransformers.

Limitations

  • Performance: Processing a large number of bookmarks may be slow due to resource limitations.
  • Data Persistence: The app does not save data between sessions. All data is lost when the app restarts.
  • Error Handling: Basic error handling is implemented, but unexpected inputs may cause issues.

Acknowledgments

  • Hugging Face: For providing the models and platform to deploy the app.
  • Open-Source Libraries: Thanks to the contributors of the libraries used in this project.

License

This project is open-source and available under the MIT License.

Enjoy using the Bookmark Manager App!

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference