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.