This paper presents a new open-source web application for simultaneous speech-to-text translation. The system translates live Estonian speech into English, Russian, and Ukrainian text, and also supports English-to-Estonian translation. Our solution uses a cascaded architecture that combines streaming speech recognition with a recently proposed LLM-based simultaneous translation model. The LLM treats translation as a conversation, processing input in small five-word chunks. Our streaming speech recognition achieves a word error rate of 10.2% and a BLEU score of 26.1 for Estonian-to-English, significantly outperforming existing streaming solutions. The application is designed for real-world use, featuring a latency of only 3 - 6 seconds. The application is available at https://est2eng.vercel.app.