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Mark Backman
2025-04-23 16:55:35 -04:00
parent 8b2df48fab
commit ac9dce63ae
1 changed files with 11 additions and 5 deletions
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examples/fal-smart-turn/README.md
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# Smart Turn Demo # Smart Turn Detection Demo
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.
In the client UI, you can see the transcription messages along with the smart-turn model's prediction results in real-time.
## Run the demo locally ## Run the demo locally
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pip install -r requirements.txt pip install -r requirements.txt
``` ```
3. Create your .env and set your env vars: 3. Create your .env file and set your env vars:
```bash ```bash
cp env.example .env cp env.example .env
@@ -50,13 +56,13 @@
npm install npm install
``` ```
3. Created .env.local: 3. Create your .env.local file:
```bash ```bash
cp env.example .env.local cp env.example .env.local
``` ```
> Note: No keys need to be changes. `NEXT_PUBLIC_API_BASE_URL` is already configured for local use. > Note: No keys need to be modified. `NEXT_PUBLIC_API_BASE_URL` is already configured for local use.
4. Start the development server: 4. Start the development server:
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> Note: This builds, tags and pushes your docker image and assumes Docker Hub is the container registry. > Note: This builds, tags and pushes your docker image and assumes Docker Hub is the container registry.
5. Make sure your have the Pipecat Cloud CLI installed: 5. Make sure you have the Pipecat Cloud CLI installed:
```bash ```bash
pip install pipecatcloud pip install pipecatcloud