Yuta Hayashibe shirayu

Play Audio and Desktop Notifications from Docker / Podman Containers

This guide explains how to play audio and send desktop notifications from a Debian- or Ubuntu-based container to a native Linux desktop host.

The setup shares two UNIX sockets from the host desktop session:

The PulseAudio socket, or PipeWire’s PulseAudio-compatible socket, for audio playback
The session D-Bus socket for desktop notifications

A Python verification script checks the socket mounts, sends a test notification, generates a short WAV tone, and plays it through the host audio server.

name

japanese-tech-writing

description

日本語の技術文書・書籍原稿の文章規範。整形（一文一行、引用ブロック、脚注、コラム記法）、段落と論証の構成（パラグラフライティング）、論証の厳密さ（ツッコミどころの除去）、読み手の負荷の管理、視点と語り、演出の抑制、LLM っぽい空句の禁止、冗長の排除を定める。日本語で技術書の章、草稿、記事、解説文を書くとき、または推敲・リライトするときに使用する。

日本語技術文書の文章規範

日本語で技術的な原稿（書籍の章、記事、解説文）を書く・推敲するときは、以下の規範に従う。

整形

Open WebUI (Formerly Ollama WebUI)

Error

$  docker logs open-webui 

...

ERROR:apps.ollama.main:Connection error: Cannot connect to host host.docker.internal:11434 ssl:default [Connection refused]

Tips to run on Linux in Windows WSL2

WSL version

https://twitter.com/lyrical_dolphin/status/1598498134338207744
- Please be aware WSL version to run from the task scheduler

CUDA setup

TensorRT + Ubuntu 22.04 (on WSL2)

I received the following warnings related to libnvinfer.so.7 and libnvinfer_plugin.so.7

W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7'; dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: xxxxx
W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: xxxxx
W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.

	package main

	import (
	"fmt"
	"time"
	)

	type fileType uint32

	const (

	#!/usr/bin/env python3
	import argparse
	import datetime
	import json
	import re
	import threading
	from http.server import BaseHTTPRequestHandler, HTTPServer
	from pathlib import Path

	import serial

	#!/usr/bin/env python3

	import time

	from datasets import load_dataset

	while True:
	try:
	ds = load_dataset("reazon-research/reazonspeech", "all")
	except Exception as e:

	#!/usr/bin/env python3


	from transformers import AutoTokenizer


	def main() -> None:
	txt: str = "鯯を食べたい"

	m1 = "rinna/japanese-gpt-neox-3.6b-instruction-ppo"