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

@@ -65,7 +65,13 @@ async def main(room_url: str, token):
tma_in = LLMUserResponseAggregator(messages)
tma_out = LLMAssistantResponseAggregator(messages)
pipeline = Pipeline([transport.input(), tma_in, llm, tts, tma_out, transport.output()])
pipeline = Pipeline([
transport.input(),
tma_in,
llm,
tts,
transport.output(),
tma_out])
task = PipelineTask(pipeline, allow_interruptions=True)