mirror of
https://github.com/occ-ai/obs-localvocal
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493ecad254
* Update CTranslate2 and cpu_features dependencies * Update CTranslate2 and cpu_features dependencies * Update dependencies and fix special tokens handling * Add BUILD_BYPRODUCTS to CMake build command * Update version to 0.2.5 in buildspec.json
147 lines
7.9 KiB
Markdown
147 lines
7.9 KiB
Markdown
# LocalVocal - Speech AI assistant OBS Plugin
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<div align="center">
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[](https://github.com/occ-ai/obs-localvocal/blob/main/LICENSE)
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[](https://github.com/occ-ai/obs-localvocal/actions/workflows/push.yaml)
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[](https://github.com/occ-ai/obs-localvocal/releases)
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[](https://github.com/occ-ai/obs-localvocal/releases)
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[](https://discord.gg/KbjGU2vvUz)
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</div>
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## Introduction
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LocalVocal live-streaming AI assistant plugin allows you to transcribe, locally on your machine, audio speech into text and perform various language processing functions on the text using AI / LLMs (Large Language Models). ✅ No GPU required, ✅ no cloud costs, ✅ no network and ✅ no downtime! Privacy first - all data stays on your machine.
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If this free plugin has been valuable to you consider adding a ⭐ to this GH repo, rating it [on OBS](https://obsproject.com/forum/resources/localvocal-live-stream-ai-assistant.1769/), subscribing to [my YouTube channel](https://www.youtube.com/@royshilk) where I post updates, and supporting my work on [GitHub](https://github.com/sponsors/royshil) or [Patreon](https://www.patreon.com/RoyShilkrot) 🙏
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For a standalone captioning and translation free open tool consider our [LexiSynth](https://github.com/occ-ai/lexisynth), which also does speech synthesis.
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Internally the plugin is running a neural network ([OpenAI Whisper](https://github.com/openai/whisper)) locally to predict in real time the speech and provide captions.
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It's using the [Whisper.cpp](https://github.com/ggerganov/whisper.cpp) project from [ggerganov](https://github.com/ggerganov) to run the Whisper network efficiently on CPUs and GPUs.
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## Usage
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<p align="center">
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<a href="https://youtu.be/5XqTMqpui3Q" target="_blank">
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<img width="30%" src="https://github-production-user-asset-6210df.s3.amazonaws.com/441170/267728411-334551b8-6a7f-42bf-8434-6ad6b512a401.jpeg" />
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</a>
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<a href="https://youtu.be/Q34LQsx-nlg" target="_blank">
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<img width="30%" src="https://github-production-user-asset-6210df.s3.amazonaws.com/441170/271725640-3e5edd4a-9d07-4d19-b631-c70f91c73c27.PNG" />
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</a>
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<a href="https://youtu.be/4BTmoKr0YMw" target="_blank">
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<img width="30%" src="https://github-production-user-asset-6210df.s3.amazonaws.com/441170/283315931-70c0c583-d1dc-4bd6-9ace-86c8e47f1229.jpg" />
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</a>
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<br/>
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</p>
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Do more with LocalVocal:
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- [Translate Caption any Application](https://youtu.be/qen7NC8kbEQ)
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- [Real-time Translation with DeepL](https://youtu.be/ryWBIEmVka4)
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- [POST Captions to YouTube](https://youtu.be/E7HKbO6CP_c)
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- [Local LLM Real-time Translation](https://youtu.be/ZMNILPWDkDw)
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Current Features:
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- Transcribe audio to text in real time in 100 languages
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- Display captions on screen using text sources
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- Send captions to a .txt or .srt file (to read by external sources or video playback) with and without aggregation option
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- Sync'ed captions with OBS recording timestamps
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- Send captions on a RTMP stream to e.g. YouTube, Twitch
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- Bring your own Whisper model (any GGML)
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- Translate captions in real time to major languages (both Whisper built-in translation as well as NMT models with [CTranslate2](https://github.com/OpenNMT/CTranslate2))
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- CUDA, OpenCL, Apple Arm64, AVX & SSE acceleration support
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Roadmap:
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- More robust built-in translation options
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- Additional output options: .vtt, .ssa, .sub, etc.
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- Speaker diarization (detecting speakers in a multi-person audio stream)
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Check out our other plugins:
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- [Background Removal](https://github.com/occ-ai/obs-backgroundremoval) removes background from webcam without a green screen.
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- [Detect](https://github.com/occ-ai/obs-detect) will detect and track >80 types of objects in real-time inside OBS
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- 🚧 Experimental 🚧 [CleanStream](https://github.com/occ-ai/obs-cleanstream) for real-time filler word (uh,um) and profanity removal from live audio stream
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- [URL/API Source](https://github.com/occ-ai/obs-urlsource) that allows fetching live data from an API and displaying it in OBS.
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- [Polyglot](https://github.com/occ-ai/obs-polyglot) translation AI plugin for real-time, local translation to hunderds of languages
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## Download
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Check out the [latest releases](https://github.com/occ-ai/obs-localvocal/releases) for downloads and install instructions.
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### Models
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The plugin ships with the Tiny.en model, and will autonomoously download other bigger Whisper models through a dropdown.
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However there's an option to select an external model file if you have it on disk.
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Get more models from https://ggml.ggerganov.com/ and follow [the instructions on whisper.cpp](https://github.com/ggerganov/whisper.cpp/tree/master/models) to create your own models or download others such as distilled models.
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## Building
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The plugin was built and tested on Mac OSX (Intel & Apple silicon), Windows (with and without Nvidia CUDA) and Linux.
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Start by cloning this repo to a directory of your choice.
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### Mac OSX
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Using the CI pipeline scripts, locally you would just call the zsh script, which builds for the architecture specified in $MACOS_ARCH (either `x86_64` or `arm64`).
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```sh
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$ MACOS_ARCH="x86_64" ./.github/scripts/build-macos -c Release
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```
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#### Install
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The above script should succeed and the plugin files (e.g. `obs-localvocal.plugin`) will reside in the `./release/Release` folder off of the root. Copy the `.plugin` file to the OBS directory e.g. `~/Library/Application Support/obs-studio/plugins`.
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To get `.pkg` installer file, run for example
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```sh
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$ ./.github/scripts/package-macos -c Release
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```
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(Note that maybe the outputs will be in the `Release` folder and not the `install` folder like `pakage-macos` expects, so you will need to rename the folder from `build_x86_64/Release` to `build_x86_64/install`)
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### Linux (Ubuntu)
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For successfully building on linux, first clone the repo, then from the repo directory:
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```sh
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$ sudo apt install -y libssl-dev
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$ export OBS_PLUGINS_PATH=$(pwd)/release/RelWithDebInfo/lib/x86_64-linux-gnu/obs-plugins
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$ export OBS_PLUGINS_DATA_PATH=$(pwd)/release/RelWithDebInfo/share/obs/obs-plugins
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$ ./.github/scripts/build-linux
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```
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Copy the results to the standard OBS folders on Ubuntu
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```sh
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$ sudo cp -R release/RelWithDebInfo/lib/* /usr/lib/x86_64-linux-gnu/
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$ sudo cp -R release/RelWithDebInfo/share/* /usr/share/
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```
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Note: The official [OBS plugins guide](https://obsproject.com/kb/plugins-guide) recommends adding plugins to the `~/.config/obs-studio/plugins` folder. This has to do with the way you *installed* OBS.
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### Windows
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Use the CI scripts again, for example:
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```powershell
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> .github/scripts/Build-Windows.ps1 -Configuration Release
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```
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The build should exist in the `./release` folder off the root. You can manually install the files in the OBS directory.
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```powershell
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> Copy-Item -Recurse -Force "release\Release\*" -Destination "C:\Program Files\obs-studio\"
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```
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#### Building with CUDA support on Windows
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LocalVocal will now build with CUDA support automatically through a prebuilt binary of Whisper.cpp from https://github.com/occ-ai/occ-ai-dep-whispercpp. The CMake scripts will download all necessary files.
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To build with cuda add `CPU_OR_CUDA` as an environment variable (with `cpu`, `12.2.0` or `11.8.0`) and build regularly
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```powershell
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> $env:CPU_OR_CUDA="12.2.0"
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> .github/scripts/Build-Windows.ps1 -Configuration Release
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```
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<picture>
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<source media="(prefers-color-scheme: dark)" srcset="https://api.star-history.com/svg?repos=occ-ai/obs-localvocal&type=Date&theme=dark" />
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<source media="(prefers-color-scheme: light)" srcset="https://api.star-history.com/svg?repos=occ-ai/obs-localvocal&type=Date" />
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<img alt="Star History Chart" src="https://api.star-history.com/svg?repos=occ-ai/obs-localvocal&type=Date" />
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</picture>
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