🏆 Winner of 2nd Runner Up Award in Luddy Hackathon 2024
Tinker is a powerful document summarization and Q&A platform that leverages Groq's lightning-fast inference API and Google's Gemma 2 language model. Built during a hackathon, this tool helps you quickly extract key insights from documents and interact with their content through natural language queries.
Built with speed and efficiency in mind, Tinker transforms the way you interact with and understand documents. This description highlights the key aspects of your project while keeping it concise and engaging. It emphasizes both the technical stack and practical applications, making it attractive to potential users and contributors.
- Fast and accurate document summarization
- Interactive Q&A capabilities
- User-friendly Streamlit interface
- Powered by Groq's high-performance inference API
- Built on Google's state-of-the-art Gemma 2 model
- Students analyzing research papers
- Professionals reviewing lengthy documents
- Researchers processing multiple texts
- Anyone looking to quickly grasp document contents
$ pip install -r requirements.txt