mirror of
https://github.com/occ-ai/obs-localvocal
synced 2024-11-07 18:57:14 +00:00
108 lines
5.8 KiB
Markdown
108 lines
5.8 KiB
Markdown
# LocalVocal - AI assistant OBS Plugin
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<div align="center">
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[](https://github.com/royshil/obs-localvocal/blob/main/LICENSE)
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[](https://github.com/royshil/obs-localvocal/actions/workflows/push.yaml)
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[](https://github.com/royshil/obs-localvocal/releases)
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[](https://github.com/royshil/obs-localvocal/releases)
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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: https://github.com/sponsors/royshil
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<div align="center">
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<a href="https://youtu.be/5XqTMqpui3Q" target="_blank">
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<img width="50%" src="https://github-production-user-asset-6210df.s3.amazonaws.com/441170/267728411-334551b8-6a7f-42bf-8434-6ad6b512a401.jpeg" />
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</a><br/>
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https://youtu.be/5XqTMqpui3Q
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</div>
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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 file (which can be read by external sources)
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- Send captions on a RTMP stream to e.g. YouTube, Twitch
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Roadmap:
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- Remove unwanted words from the transcription
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- Translate captions in real time to 50 languages
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- Summarize the text and show "highlights" on screen
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- Detect key moments in the stream and allow triggering events (like replay)
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- Detect emotions/sentiment and allow triggering events (like changing the scene or colors etc.)
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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 in a very efficient way on CPUs and GPUs.
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Check out our other plugins:
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- [Background Removal](https://github.com/royshil/obs-backgroundremoval) removes background from webcam without a green screen.
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- 🚧 Experimental 🚧 [CleanStream](https://github.com/royshil/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/royshil/obs-urlsource) that allows fetching live data from an API and displaying it in OBS.
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## Download
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Check out the [latest releases](https://github.com/royshil/obs-localvocal/releases) for downloads and install instructions.
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## Building
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The plugin was built and tested on Mac OSX (Intel & Apple silicon), Windows 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. By default this builds a universal binary for both Intel and Apple Silicon. To build for a specific architecture please see `.github/scripts/.build.zsh` for the `-arch` options.
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```sh
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$ ./.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-urlsource.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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Use the CI scripts again
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```sh
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$ ./.github/scripts/build-linux.sh
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```
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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 -Target x64 -CMakeGenerator "Visual Studio 17 2022"
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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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#### Building with CUDA support on Windows
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To build with CUDA support on Windows, you need to install the CUDA toolkit from NVIDIA. The CUDA toolkit is available for download from [here](https://developer.nvidia.com/cuda-downloads).
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After installing the CUDA toolkit, you need to set variables to point CMake to the CUDA toolkit installation directory. For example, if you have installed the CUDA toolkit in `C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.4`, you need to set `CUDA_TOOLKIT_ROOT_DIR` to `C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.4` and `LOCALVOCAL_WITH_CUDA` to `ON` when running `.github/scripts/Build-Windows.ps1`.
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For example
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```powershell
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.github/scripts/Build-Windows.ps1 -Target x64 -ExtraCmakeArgs '-D','LOCALVOCAL_WITH_CUDA=ON','-D',"CUDA_TOOLKIT_ROOT_DIR='C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.2'"
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```
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You will need to copy a few CUDA .dll files to the location of the plugin .dll for it to run. The required .dll files from CUDA (which are located in the `bin` folder of the CUDA toolkit installation directory) are:
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- `cudart64_NN.dll`
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- `cublas64_NN.dll`
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- `cublasLt64_NN.dll`
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where `NN` is the CUDA major version number. For example, if you have installed CUDA 12.2 as in example above, then `NN` is `12`.
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