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Merge pull request #1650 from pipecat-ai/mb/fal-smart-turn-readme

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Add hosted demo link to Fal smart turn README
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Mark Backman
2025-04-25 09:39:54 -04:00
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examples/fal-smart-turn/README.md
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This demo showcases Pipecat's Smart Turn Detection feature - an advanced conversational turn detection system that uses machine learning to identify when a speaker has finished their turn in a conversation. Unlike basic Voice Activity Detection (VAD) which only detects speech vs. silence, Smart Turn detects natural conversational cues like intonation patterns, pacing, and linguistic signals.
This demo uses the [pipecat-ai/smart-turn](https://huggingface.co/pipecat-ai/smart-turn) model - an open-source, community-driven conversational turn detection model designed to provide more natural turn-taking in voice interactions. The model is being hosted on Fal's infrastructure for GPU acceleration, offering inference times between 50-70ms.
This demo uses the [pipecat-ai/smart-turn](https://huggingface.co/pipecat-ai/smart-turn) model - an open-source, community-driven conversational turn detection model designed to provide more natural turn-taking in voice interactions. The model is being hosted on Fal's infrastructure for GPU acceleration, offering inference times between 50-60ms.
In the client UI, you can see the transcription messages along with the smart-turn model's prediction results in real-time.
## Try the demo
Try the hosted version of the demo here: https://pcc-smart-turn.vercel.app/.
## Run the demo locally
### Run the Server