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Build Your Talking Voice AI Assistant Locally: Memory-Retaining Chatbot with Streamlit UI, LangChain, and Ollama Llama Models
Step-by-Step Guide to Developing Your Own Voice AI with Context Memory and Real-Time Chat, Powered by Llama3.1 & Llama3.2 Models
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The concept of a voice-based personal assistant has grown beyond being a novelty — it has become a practical, hands-free solution for busy professionals, remote teams, and tech enthusiasts alike. Imagine a voice AI that can listen, respond, and even keep track of past conversations, all while running locally on your device. Enter Porter, a personal AI assistant designed to do just that.
In this tutorial, we’ll walk you through creating Porter, an advanced voice assistant that’s capable of responding to voice queries, retaining context through conversation memory, and providing responses via synthesized speech. Porter leverages Ollama’s state-of-the-art Llama models, Streamlit for an intuitive user interface, and OpenAI’s Whisper model for transcription. This guide will take you step-by-step from installation to final deployment on a local machine.
