stlite
Porcupine
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stlite | Porcupine | |
---|---|---|
8 | 31 | |
978 | 3,424 | |
- | 2.1% | |
9.5 | 9.1 | |
9 days ago | 7 days ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
stlite
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The pure python webapp framework survey - recent updates
2023-06-11 Added Streamlit running entirely in WebAssembly (using Pyodide)
- Stlite - Streamlit running entirely in WebAssembly (using Pyodide)
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serverless framework for python? any recommendation?
stlite
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Streamlit on AWS, serverless options?
I'm not sure I understand your problem, but if having everything run client-side solves it, you may want to try stlite: https://github.com/whitphx/stlite
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Streamlit meets WebAssembly - stlite
In addition to stlite sharing, you can also host your Streamlit/stlite apps on your web site or create offline desktop applications. So you can create multi-platform apps only with Python coding.
- Show HN: Stlite sharing – Write and share Streamlit apps online serverlessly
- Show HN: Stlite, Serverless Streamlit Powered by Pyodide/WASM
Porcupine
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I made a ChatGPT virtual assistant that you can talk to
I call it DaVinci. DaVinci uses Picovoice (https://picovoice.ai/) solutions for wake word and voice activity detection and for converting speech to text, Amazon Polly to convert its responses into a natural sounding voice, and OpenAI’s GPT 3.5 to do the heavy lifting. It’s all contained in about 300 lines of Python code.
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Speech Recognition in Unity: Adding Voice Input
Download pre-trained models: "Porcupine" from Porcupine Wake Word and Video Player Context from Rhino Speech-to-Intent repositories - You can also train a custom models on Picovoice Console.
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Speech Recognition with SwiftUI
Below are some useful resources: Open-source code Picovoice Platform SDK Picovoice website
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Speech Recognition with Angular
Download the Porcupine model and turn the binary model into a base64 string.
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OK Google, Add Hotword Detection to Chrome
Download Porcupine (i.e. Deep Neural Network). Run the following to turn the binary model into a base64 string, from the project folder.
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Hotword Detection for MCUs
Porcupine SDK Porcupine SDK is on GitHub. Find libraries for supported MCUs on the Porcupine GitHub repository. Arduino libraries are available via a specialized package manager offered by Arduino.
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Day 12: Always Listening Voice Commands with React.js
Looking for more? Explore other languages on the Picovoice Console and check out for fully-working demos with Porcupine on GitHub.
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Day 6: Making Cool Raspberry Pi Projects even Cooler with Voice AI (1/4)
Don't forget to visit Porcupine's Wake Word's Github repository to see Python demos. If you want to do something similar to the video above, find the open-source codes here
- Voice Assistant app in Haskell
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What does "end-to-end" mean?
I sometimes see the term "end-to-end", and it always passes right by my ears as marketing jargon. For example, there was a recent post today that linked to this page: https://picovoice.ai/, and you'll find the statement "... end-to-end platform for adding voice to anything on your terms". I did a quick Google search and it seems like the term is used in many different contexts (e.g., encryption, enterprise software for product development, etc.), but to be honest, I'm just not getting it. Maybe someone can explain here within the realm of embedded software? Could you provide some examples as well?
What are some alternatives?
react-py - Effortlessly run Python code in your React apps.
snowboy - Future versions with model training module will be maintained through a forked version here: https://github.com/seasalt-ai/snowboy
x-python - A complete solution for python-in-browser 🚀
mycroft-precise - A lightweight, simple-to-use, RNN wake word listener
videotranscode.space - A video transcoder and converter built using Web Assembly and FFMPEG to transcode and convert videos right in your browser while protecting your privacy
Caffe - Caffe: a fast open framework for deep learning.
tfjs - A WebGL accelerated JavaScript library for training and deploying ML models.
DeepSpeech - DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
Video-Transcoder - A video transcoder and converter built use Web Assembly and FFMPEG to transcode and convert videos right in your browser while protecting your privacy [Moved to: https://github.com/modfy/modfy.video]
mxnet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
wasm4 - Build retro games using WebAssembly for a fantasy console.
Caffe2