A Summarization Companion Powered by GenAI, RAG, and Voice
Live Demo: https://summereyes.streamlit.app
SummerEyes.ai is an intelligent summarization assistant that integrates voice input, Retrieval-Augmented Generation (RAG), and large language models (LLMs) to extract concise insights from audio or text in real time.
Use it to summarize meetings, articles, or spoken thoughts—hands-free and context-aware.
- Python
- Streamlit (Frontend)
- Whisper (Speech-to-Text)
- LLaMA 4 (LLM)
- Groq
- LangChain
- Retrieval-Augmented Generation (RAG)
- Deployed on Streamlit Cloud
- Voice Input: Speak directly into the app; your speech is transcribed using Whisper.
- Context-Aware Retrieval: Relevant context is retrieved based on your input and passed to the language model.
- LLM Summarization: Concise and natural summaries generated by LLaMA 4.
- Minimal UI: Clean and intuitive user interface built with Streamlit.
