I’m attempting to use speech-to-phrase
, which I understand to be the successor of rhasspy-speech
.
But when starting the container, it comes back with this error at the end of the backtrace:
File "/usr/src/.venv/lib/python3.11/site-packages/aiohttp/client_ws.py", line 386, in receive_str
raise WSMessageTypeError(
aiohttp.client_exceptions.WSMessageTypeError: Received message 258:WebSocketError(<WSCloseCode.MESSAGE_TOO_BIG: 1009>, 'Message size 4497432 exceeds limit 4194304') is not WSMsgType.TEXT
I tried reducing the numbers of entities exposed.
EDIT: SOLVED: Message contains all entities, not just exposed entities. I had lots of old/broken entities. Deleted some of them, that allowed me to get under the current limit of speech-to-phrase
.