outspeed 0.1.148

No project description provided

Community | Docs | Dashboard

Outspeed

Outspeed is a PyTorch-inspired SDK for building real-time AI applications on voice and video input. It offers:

• Low-latency processing of streaming audio and video
• Intuitive API familiar to PyTorch users
• Flexible integration of custom AI models
• Tools for data preprocessing and model deployment

Ideal for developing voice assistants, video analytics, and other real-time AI applications processing audio-visual data.

Install

You can install outspeed SDK from pypi using

pip install "outspeed[silero]>=0.1.143"

This would install the core outspeed package. Read our quickstart guide to get started.

Usage

Read the docs to learn more about the SDK.

To deploy your realtime function on Outspeed's infra, you can use the outspeed deploy CLI.

# functions.py contains your realtime function code
outspeed deploy --api-key=<your-api-key> functions.py

Contact us to get an API key and deploy.

Once deployed, you can use the playground in the examples repo to test the deployed code.

Examples

All the examples are available in the examples folder. To install the package so that all examples run, use:

pip install "outspeed[silero]>=0.1.143"

Or, if you're using poetry:

poetry add 'outspeed[silero]'

This will install all the additional libraries that are required for examples to work.

---

Logging

To develop on top of the SDK, set environment variable DEV_INFO or DEV_DEBUG to get logs from the SDK for the corresponding log level.

Roadmap

Feature	Status	Target Release
Local STT	On the way	Q4 2024
DeepReel Integration (Human Clone)	On the way	Q4 2024
Long Conversation Support	Planned	Q4 2024
Local Model Vision and Text (With Ollama, and vision models)	Planned	Q4 2024
Call Recording	Planned	Q4 2024
Wakeup Word	Planned	Q4 2024
On device models	Planned	Q4 2024
Local TTS	Planned	Q4 2024

Contribute

We welcome contributions to the Outspeed SDK! If you're interested in contributing, please submit a PR or contact us.