a handy tool for analyzing, organizing, and finding patterns in text files. It works with PDFs, TXTs, and DOCXs. You can also brainstorm ideas and chat with your notes.

• Text Analysis: Quickly find patterns in large volumes of textual files.
• Organize and Visualize: Easily organize and see information from different file types.
• Support for Different Formats: Works with PDFs, TXTs, DOCXs, and more in the future.
• Brainstorming: Helps you come up with ideas.
• Note Interaction: Chat with your notes to stay productive.

1. Select Directory: Pick a folder with your text files.
2. Number of Clusters: Choose how many groups you want.
3. File Type: Decide which file types to include.
4. Keyword Search: Search for specific words.
5. Cluster Text Files: Start the grouping process.
6. Chat Interface: Talk to your notes using a chat window.

1. Clone the repository:

   git clone https://github.com/SudoACoder/note_map.git
   

2. Navigate to the project directory:

   cd note_map
   

3. Install dependencies:

   pip install -r requirements.txt
   

4. Run the application:

   python main.py
   

• You can use NoteMap locally to keep your information private. Just select TinyLlama or Llama2 in settings before starting a chat! (model downloads only on first run)

• Local LLMS Support _{24 Feb 2024}
• Conversation Log (+Long-Term Memory)
• Auto Summarizer
• Zero-shot Classification
• Named-entity Recognition (NER)
• Layered Encryption for Cache Note Storage
• Light Version

Feel free to contribute! If you have ideas or find bugs, let us know by opening an issue or pull request.

This project is licensed under the MIT License