From f8ff10c5d5c9e312e23bc4cddbe8192cdef62449 Mon Sep 17 00:00:00 2001 From: Mark Backman Date: Wed, 23 Apr 2025 21:27:53 -0400 Subject: [PATCH] Add hosted demo link to Fal smart turn README --- examples/fal-smart-turn/README.md | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/examples/fal-smart-turn/README.md b/examples/fal-smart-turn/README.md index 40f32bf18..90347f36e 100644 --- a/examples/fal-smart-turn/README.md +++ b/examples/fal-smart-turn/README.md @@ -2,10 +2,14 @@ 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