This skill documents the ESP32-S3 printer bridge architecture used in PaRang Stikka, so it can be reused in forks and derivative projects. The ESP32 acts as a WiFi-to-USB bridge for thermal/label printers (Brother QL and ESC/POS), receiving pre-encoded raster bytes over HTTP and forwarding them raw to the printer.
| #!/usr/bin/env bash | |
| #based on https://huggingface.co/spaces/nvidia/Kimodo/blob/main/start.sh | |
| cd /workspace/ | |
| # Cause the script to exit on failure. | |
| set -eo pipefail | |
| # Activate the main virtual environment | |
| . /venv/main/bin/activate |
└── content └── develop ├── _index.md ├── api-reference ├── _index.md ├── caching-and-state │ ├── _index.md │ ├── cache-data.md │ ├── cache-resource.md │ ├── context.md
infromation on building a recreation of the orignal precpetron pegbaord ciruit
Building a recreation of Frank Rosenblatt’s original Perceptron pegboard circuit can be a fascinating blend of historical exploration and hands-on electronics. While many modern implementations of perceptrons are purely software-based, recreating the physical hardware can give you unique insight into how early neural networks were first conceived and tested. Below is a comprehensive overview of the original design, the theory behind it, and practical considerations for building your own pegboard Perceptron.
by default, the Raspberry Pi's network management system (wpa_supplicant or NetworkManager, depending on your setup) will automatically attempt to connect to known Wi-Fi networks during boot. If you’ve configured known networks in the wpa_supplicant.conf file or using NetworkManager or raspi-config, the Pi will try to connect to these networks without requiring additional scanning logic in a script.
The key idea here is to detect whether the Pi successfully connected to any network and, if not, start the hotspot. This simplifies the script, as you don't need to handle Wi-Fi scanning yourself—just check the connection status.
This script assumes the Raspberry Pi will attempt to connect to known networks on its own. It checks if the Pi is connected to a network, and if not, starts the hotspot.
| import requests | |
| import xml.etree.ElementTree as ET | |
| from datetime import datetime | |
| from googletrans import Translator | |
| import re | |
| def contains_hebrew(text): | |
| """Check if the text contains Hebrew characters""" | |
| hebrew_pattern = re.compile(r'[\u0590-\u05FF\uFB1D-\uFB4F]') | |
| return bool(hebrew_pattern.search(text)) |
goal is to pass a git repo to the LLM so it can consume and we can quary it.
we will use a cli tool called llm
and an auxiliry tool called files-to-prompt from same auther
install llm
pip install llm
llm install llm-openrouter
map remote port 8888 to localhost
ssh root@213.181.111.2 -p 22408 -i ~/.ssh/id_ed25519 -L 8888:localhost:8888
grab the jupyter passwrod from runpod
JUPYTER_PASSWORD=qi14ld6tw7h4ino5fwh
set the local kernel to "exsiting one", then refer it to this url
http://localhost:8888/lab?token=qi14ld6g7h4ino56cwh
full thing here, but its a bit outdated
all this inside your WSL ubuntu shell.
have python (3.11+)
check
python --version