This article details how to run a 120B parameter LLM locally with 24GB of VRAM and 64GB of system RAM, using a setup with Proxmox LXCs, Whisper for voice transcription, and integration with Home Assistant for smart home automation.
Elecrow has launched a 2.8-inch round IPS display with a mini HDMI input and CNC aluminum housing, suitable for various applications like creative displays and industrial control interfaces.
A step-by-step guide on how to set up a voice-controlled Home Assistant using add-ons like Whisper, Piper, and openWakeWord, along with the necessary hardware and configuration steps.
This article explains how to set up a Home Assistant voice assistant that mimics GLaDOS's voice and personality, using add-ons like Whisper and Piper for speech synthesis and recognition.
This article details how to set up a custom voice pipeline in Home Assistant using free self-hosted tools like Whisper and Piper, replacing cloud-based services for full control over speech-to-text and text-to-speech processing.
The series of articles by Adam Conway discusses how the author replaced cloud-based smart assistants like Alexa with a local large language model (LLM) integrated into Home Assistant, enabling more complex and private home automations.
1. **Use a Local LLM**: Set up an LLM (like Qwen) locally using tools such as Ollama and OpenWeb UI.
2. **Integrate with Home Assistant**:
- Enable Ollama integration in Home Assistant.
- Configure the IP and port of the LLM server.
- Select the desired model for use within Home Assistant.
3. **Voice Processing Tools**:
- Use **Whisper** for speech-to-text transcription.
- Use **Piper** for text-to-speech synthesis.
4. **Smart Home Automation**:
- Automate complex tasks like turning off lights and smart plugs with voice commands.
- Use data from IP cameras (via Frigate) to control external lighting based on presence.
5. **Hardware Recommendations**:
- Use Home Assistant Voice Preview speaker or DIY alternatives using ESP32 or repurposed microphones.
1. **Use a Local LLM**: Set up an LLM (like Qwen) locally using tools such as Ollama and OpenWeb UI.
2. **Integrate with Home Assistant**:
- Enable Ollama integration in Home Assistant.
- Configure the IP and port of the LLM server.
- Select the desired model for use within Home Assistant.
3. **Voice Processing Tools**:
- Use **Whisper** for speech-to-text transcription.
- Use **Piper** for text-to-speech synthesis.
4. **Smart Home Automation**:
- Automate complex tasks like turning off lights and smart plugs with voice commands.
- Use data from IP cameras (via Frigate) to control external lighting based on presence.
5. **Hardware Recommendations**:
- Use Home Assistant Voice Preview speaker or DIY alternatives using ESP32 or repurposed microphones.
Smart plugs are an affordable and easy way to automate your home. Here's why they're the most useful smart home device you can buy.
This article explains how MQTT (Message Queuing Telemetry Transport) can be used to create a more streamlined and organized smart home by enabling local communication between devices, reducing reliance on cloud services, and simplifying automation.
This article details how to set up an email triage system using Home Assistant and a local Large Language Model (LLM) to summarize and categorize incoming emails, reducing inbox clutter and improving email management. It covers the setup of a REST command to interface with Ollama, the automation process, and the benefits of using a local LLM for privacy.
Hup is an AI home assistant that watches out for you, offering visual task recognition, reminders, and configuration to your needs. It detects clutter, identifies safety hazards, checks on family members/pets, creates tasks automatically, sends real-time reminders, tracks habits, and integrates with Hup Cameras.
