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Watcher-OI

Overview

This guide will walk you through setting up a service that enables hardware devices to interpret English commands and perform corresponding actions on a computer. This process includes installing Ollama, Docker, third-party open-source image services, and starting Node.js and Python scripts.

Prerequisites

Before you begin, ensure you have the following:

  1. Compatible hardware capable of running Ollama.
  2. A computer with Docker, Python, and Node.js installed.
  3. Familiarity with basic command-line operations.
  4. A Watcher device. What is a Watcher? (Not an advertisement!)

Step 1: Install Ollama

Ollama is a key component that enables your hardware device to process commands. Follow these steps to install Ollama:

  • Download the latest version of Ollama from the official website.
  • Install Ollama by following the on-screen instructions.
  • Verify the installation by running ollama --version in the terminal.
  • Install a local model by running the command ollama run llama3.1.

Troubleshooting List:

  • Is the Ollama software compatible with your hardware device?
  • Did you download the correct version for your operating system?
  • Did you install a local model to provide for subsequent processes?
  • Can you run the local model without issues?

Step 2: Install Docker

Docker will be used to containerize third-party open-source image services. Follow these steps to install Docker:

  • Visit the Docker website.
  • Download Docker Desktop/Docker Engine for your operating system.
  • Install Docker and follow the setup instructions.
  • Start Docker Desktop and ensure it is running.

Troubleshooting List:

  • Does your computer meet Docker's system requirements?
  • Have you successfully added your user to the Docker group?
  • Can you start a hello world container without issues?

Step 3: Install STT Service

You will need an STT (Speech-to-Text) service to handle voice commands. A popular choice is the OpenAI Whisper ASR Webservice API.

Install it using the following command:

  • docker run -d --gpus all -p 9000:9000 -e ASR_MODEL=base -e ASR_ENGINE=openai_whisper onerahmet/openai-whisper-asr-webservice:latest-gpu

Troubleshooting List:

  • Does your computer support running this container?
  • If your computer does not have a GPU, switch to latest-cpu, will it run smoothly?

Step 4: Start Node.js Script

Node.js will handle communication between the hardware device and the computer. To start the Node.js script:

  • Ensure that Node.js is installed on your system.
  • Navigate to the directory of this repository.
  • Run npm install in the terminal to install software dependencies.
  • Run npm run start in the terminal.

Troubleshooting List:

  • Is your Node.js correctly installed?
  • Are there any missing dependencies required for the script to run?
  • Does the script require the use of port 8000, and is there a conflict?

Step 5: Start Python Script

The Python script will process English commands and trigger actions on the computer. Start it by:

  • Ensuring that Python is installed on your system.
  • Install Open Interpreter, which is used to handle voice commands issued by humans.
  • Navigate to the root directory of this repository.
  • Run pip install -r requirements.txt in the terminal to install environment dependencies.
  • Run python proxy.py in the terminal.

Troubleshooting List:

  • Is the Python interpreter installed and accessible from your terminal?
  • Are there any required libraries missing for the script to run?
  • Are the script's runtime logs printing normally?
  • Does the script require the use of port 9888, and is there a conflict?

Step 6: Configure Hardware Device

To make the Watcher hardware device send messages to the aforementioned services:

  • Ensure that the Watcher is powered on.
  • Download the App on your mobile phone. Search for SenseCraft in the app market.
  • Follow the app's instructions to configure the device to connect to the internet.
  • Then configure the Watcher AI Service of the device to Private, with the value set to http://internal-network-address:8000.

Troubleshooting List:

  • Is the hardware device correctly connected and powered?
  • Does the device have the necessary firmware to communicate with the computer?

Step 7: Test the Setup

Once everything is configured, test the setup by issuing English commands to the hardware device and observing the computer's response. Demonstration is as follows:

Troubleshooting List:

  • Does the hardware device correctly interpret the commands?
  • Can the computer execute the corresponding actions?

Conclusion

Following these steps should result in a functional service that allows hardware devices to interpret English commands and trigger actions on a computer. If you encounter any issues, refer to the documentation of each component or seek help from the respective community forums.

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