lukeandClaude Opus 4.6 d4e25ceb88 Stream TTS audio to caller in real-time chunks ...

TTS audio was sent as a single huge WebSocket frame that overflowed the
browser's 3s ring buffer. Now streams in 60ms chunks at real-time rate.
Also increased browser ring buffer from 3s to 10s as safety net.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

2026-02-05 16:56:22 -07:00

backend

Stream TTS audio to caller in real-time chunks

2026-02-05 16:56:22 -07:00

frontend

Stream TTS audio to caller in real-time chunks

2026-02-05 16:56:22 -07:00

tests

Update tests for CallerService and browser caller format

2026-02-05 15:53:41 -07:00

.gitignore

Initial commit: AI Radio Show web application

2026-02-04 23:11:20 -07:00

audio_settings.json

Initial commit: AI Radio Show web application

2026-02-04 23:11:20 -07:00

CLAUDE.md

Add CLAUDE.md with project config and Gitea setup

2026-02-04 23:21:50 -07:00

download_sounds.py

Initial commit: AI Radio Show web application

2026-02-04 23:11:20 -07:00

generate_callers.py

Initial commit: AI Radio Show web application

2026-02-04 23:11:20 -07:00

generate_sounds.py

Initial commit: AI Radio Show web application

2026-02-04 23:11:20 -07:00

publish_episode.py

Initial commit: AI Radio Show web application

2026-02-04 23:11:20 -07:00

radio_show.py

Initial commit: AI Radio Show web application

2026-02-04 23:11:20 -07:00

radio_simple.py

Initial commit: AI Radio Show web application

2026-02-04 23:11:20 -07:00

requirements-web.txt

Initial commit: AI Radio Show web application

2026-02-04 23:11:20 -07:00

run.sh

Initial commit: AI Radio Show web application

2026-02-04 23:11:20 -07:00

test.html

Initial commit: AI Radio Show web application

2026-02-04 23:11:20 -07:00

S

Description

AI Radio Show - web-based podcast production with multiple TTS providers

MIT

9.6 MiB

Languages

HTML 78.2%

Python 17.3%

JavaScript 2%

CSS 1.3%

Lua 1%

Other 0.2%