Through GenAI Processors' GenaiModel cap (a poem) LiveProcessor The module enables three-step integration:
- Environment Configuration: Settings
GOOGLE_API_KEYcap (a poem)GOOGLE_PROJECT_IDenvironment variable - preconfigured interface call: Using a built-in processor such as
live_model.LiveProcessorDirect interface to Gemini Live API - streaming interaction: By
terminal_input()Realize real-time conversations, or combine video/audio processors to build multimodal agents
Real-time voice agent example:live_agent = video.VideoIn() + LiveProcessor() + audio_io.PyAudioOut()
async for part in live_agent(text.terminal_input()):
play_audio(part)
This answer comes from the articleGenAI Processors: lightweight Python library supports efficient parallel processing of multimodal contentThe
May not be reproduced without permission:AI productivity tools " How to quickly achieve deep integration of AI systems with Gemini APIs?
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