Chat-with-Notes is a simple web application built with Flask that allows users to upload text files, display their content, and interact with an AI chatbot to discuss the content. The application uses a locally running Ollama Llama 3.1 (8B) model for AI responses, ensuring privacy and data security.

• Upload and display text files
• Chat with an AI about the uploaded content
• Privacy-focused: all processing happens locally
• Ability to upload new files mid-conversation
• Clear chat history or all data as needed
• Export chat history

• Python 3.x
• pip (Python package installer)
• Git
• Ollama with Llama 3.1 (8B) model running locally

1. Clone the Repository

   git clone https://github.com/yourusername/chat-with-notes.git
   cd chat-with-notes
   

2. Create and Activate Virtual Environment

   python3 -m venv chat-with-notes-env
   source chat-with-notes-env/bin/activate  # On Windows, use `chat-with-notes-env\Scripts\activate`
   

3. Install Dependencies

   pip install -r requirements.txt
   

4. Set Up and Run Ollama Llama 3.1 Model

   Make sure you have the Ollama Llama 3.1 model running locally. Follow the instructions on Ollama's website to set it up.

   Start the Ollama Llama 3.1 model:

   ollama run llama3.1
   

1. Start the Flask Application

   python app.py
   

2. Access the Application

   Open your web browser and navigate to http://127.0.0.1:5000/ or http://<your-local-ip>:5000/ to access the application from another device on the same network.

1. Upload a Text File

   • Use the file input to select and upload a text file.
   • Supported file types include .txt, .md, .py, .js, .html, .css, .json, and .pdf
   • The content of the uploaded file will be displayed in a separate section.

2. Chat with the AI

   • Enter your message in the input box and click "Send".
   • The AI will respond based on the content of the uploaded file and the ongoing conversation.

3. Upload a New File Mid-Conversation

   • You can upload a new file at any time during the conversation.
   • You'll be prompted to choose whether to clear the existing chat or keep it.
   • If you choose to keep the chat, a system message will be added to inform about the new file upload.

4. Clear Chat or All Data

   • Use the "Clear Chat" button to remove the conversation history.
   • Use the "Clear All Data" button to remove both the conversation history and uploaded file content.

5. Export Chat

   • Click the "Export Chat" button to download the conversation history as a text file.

• All processing happens locally on your machine.
• No data is sent to external servers (except for the local Ollama API).
• Uploaded files and conversation history are stored in-memory and are cleared when you close the application or clear the data manually.

• If you encounter issues with the AI responses, ensure that the Ollama Llama 3.1 model is running correctly on your local machine.
• Check the console for any error messages if the application isn't behaving as expected.

Contributions are welcome! Please feel free to submit a Pull Request.

This project is licensed under the MIT License.