How I Built a Local, Voice-Enabled AI Chatbot with LangChain and Ollama

Daniel Nti Boakye — Sun, 06 Apr 2025 21:30:00 +0000

Imagine ChatGPT — but offline, private, and trained on your own files.

No cloud, no API keys, no monthly fees.

That's exactly what I built: a personal AI assistant that runs entirely on your computer, with voice support, document understanding, and memory.

All running inside a sleek Streamlit interface.

https://shorturl.at/j36oQ

Chat + Memory

Conversations are saved to disk as JSON. Reload the app — it remembers you.
Document Q&A

You can upload .pdf or .txt files. The app reads them, chunks the content, embeds it using Ollama embeddings, and uses FAISS to retrieve relevant context before responding.
Voice Input & Output
- Click the 🎙️ button to speak.
- The assistant replies aloud using TTS.
- Both features are toggleable in the sidebar.
Custom Personality

You can modify the assistant’s tone with a system prompt (e.g., “You are a sarcastic genius.” 😏)

This project is fully open-source. You can find the code and setup instructions here:

You’ll need:

This was a fun, hands-on way to get deeper into the LLM ecosystem — especially offline tools like Ollama and LangChain.

Let me know what you’d build with a chatbot like this — or if you’d like a guided version to follow along!

Let’s chat on:

#AI #LangChain #LLM #Chatbot #Python #Ollama #VoiceAI #Streamlit #OpenSource

DEV Community: Daniel Nti Boakye