examples: pipelines readability and add LLM assistants after transport

This commit is contained in:
Aleix Conchillo Flaqué
2024-05-17 14:52:51 -07:00
parent de65028061
commit c77db79447
11 changed files with 95 additions and 24 deletions

View File

@@ -157,8 +157,16 @@ async def main(room_url: str, token):
tma_out = LLMAssistantContextAggregator(messages)
ncf = NameCheckFilter(["Santa Cat", "Santa"])
pipeline = Pipeline([transport.input(), isa, ncf, tma_in,
llm, tma_out, tts, transport.output()])
pipeline = Pipeline([
transport.input(),
isa,
ncf,
tma_in,
llm,
tts,
transport.output(),
tma_out
])
@transport.event_handler("on_first_participant_joined")
async def on_first_participant_joined(transport, participant):