Ứng dụng Trợ lý giọng nói AI với Llama3, RAG, STT và TTS để trò chuyện bằng giọng nói theo thời gian thực với Tài liệu

In this project, a Voice Assistant ("Evi") Application has been built using Streamlit in Python with Langchain, RAG (Retrieval-augmented generation) and Llama3.3 model (Open Source LLM), pyttsx3 (text-to-speech library), speech_recognition (speech-to-text library), Hugging Face Instruct Embeddings and Chroma (open-source vector database), PyPDFLoader etc. After launching the Streamlit App, user only needs to upload one document (pdf). Then they just need to click on "Start Voice Chat" button and our Voice assistant called "Evi" will start chatting with the user real time regarding the document content. User can ask any questions about the content of the document and Evi will answer all of them one after another. GitHub Link: https://github.com/dharsandip/Voice_assistant_llm_rag_tts_stt_app

LinkedIn: https://www.linkedin.com/in/sandip-dhar-40145546/

#voiceassistant, #llama3, #aiapplication, #aivoiceassistant, #rag, #groq, #speechtotext, #python, #streamlitlibrary