Vox: Multilingual Collaboration Model

Vox is a powerful collaboration tool designed to automate meeting summarization and enable efficient information retrieval. Developed for the Samsung PRISM Hackathon, Vox enhances workplace communication and productivity by integrating cutting-edge AI models.

Key Features

• Automated Meeting Summarization
  Vox uses the llama-distilled-600 model to generate concise summaries of meetings, helping teams focus on key insights for better decision-making.

• Interactive Chat Interface
  Powered by meta-llama/Llama-2-7b-chat-hf, the chat interface allows seamless collaboration and interaction while retrieving information from NotionDB.

• Optimized Vector Storage
  With Llama Index, Vox optimizes vector storage and embeddings, ensuring fast and accurate data retrieval from NotionDB for an enhanced user experience.

Tech Stack

• Langchain
• Hugging Face
• Llama Index
• Transformers
• NotionDB

Installation

Prerequisites

• Python 3.8+
• Notion API credentials
• Hugging Face API key
• Access to the Llama-2-7b-chat-hf model

Steps

1. Clone the repository:

   git clone https://github.com/yourusername/vox.git
   cd vox
   

2. Install the required dependencies:

pip install -r requirements.txt

3. Set up your environment variables for Hugging Face and Notion API keys:

```bash
export HUGGINGFACE_API_KEY='your-api-key'
export NOTION_API_KEY='your-api-key'

4. Run the application:

```bash
python app.py

### Usage
Automated Meeting Summarization
Provide meeting transcripts, and Vox will generate concise summaries using the llama-distilled-600 model.

### Interactive Chat Interface
Collaborate with team members through the chat interface, which allows querying of NotionDB for relevant information.

### Efficient Data Retrieval
Vox uses Llama Index to optimize vector storage, enabling fast and accurate retrieval of meeting notes, documents, or other embedded data in NotionDB.

### Architecture
Summarization Module
Leverages llama-distilled-600 for summarizing long meeting transcripts.

### Chat Module
The chat interface, powered by meta-llama/Llama-2-7b-chat-hf, interacts with NotionDB to fetch relevant data during conversations.

### Data Storage and Retrieval
Llama Index is used for embedding-based data retrieval, ensuring fast and accurate results.

### Future Enhancements
Multilingual support for the summarization and chat interface.
Integration with platforms like Slack and Microsoft Teams.
Advanced natural language understanding for more personalized insights.

### License
This project is licensed under the MIT License.