examples: use OpenAILLMContext in all the examples
This commit is contained in:
@@ -28,7 +28,7 @@ from pipecat.pipeline.parallel_pipeline import ParallelPipeline
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
from pipecat.pipeline.task import PipelineTask
|
||||
from pipecat.processors.aggregators.llm_response import LLMUserResponseAggregator
|
||||
from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
|
||||
from pipecat.processors.aggregators.sentence import SentenceAggregator
|
||||
from pipecat.processors.aggregators.vision_image_frame import VisionImageFrameAggregator
|
||||
from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
|
||||
@@ -182,17 +182,19 @@ async def main():
|
||||
},
|
||||
]
|
||||
|
||||
ura = LLMUserResponseAggregator(messages)
|
||||
context = OpenAILLMContext(messages)
|
||||
context_aggregator = llm.create_context_aggregator(context)
|
||||
|
||||
pipeline = Pipeline(
|
||||
[
|
||||
transport.input(),
|
||||
ura,
|
||||
context_aggregator.user(),
|
||||
llm,
|
||||
ParallelPipeline([sa, ir, va, moondream], [tf, imgf]),
|
||||
tts,
|
||||
ta,
|
||||
transport.output(),
|
||||
context_aggregator.assistant(),
|
||||
]
|
||||
)
|
||||
|
||||
|
||||
Reference in New Issue
Block a user