3D virtual assistant SDK that enables you to make your 3D model into a voice-enabled chatbot. 🇯🇵日本語のREADMEはこちら
... and more! See ChatdollKit Documentation to learn details.
You can learn how to setup ChatdollKit by watching this video that runs the demo scene(including chat with ChatGPT): https://www.youtube.com/watch?v=rRtm18QSJtc
Download the latest version of ChatdollKit.unitypackage and import it into your Unity project after import dependencies;
Burst from Unity Package Manager (Window > Package Manager)Add 3D model to the scene and adjust as you like. Also install required resources for the 3D model like shaders etc. In this README, I use Cygnet-chan that we can perchase at Booth. https://booth.pm/ja/items/1870320
And, import animation clips. In this README, I use Anime Girls Idle Animations Free. I believe it is worth for you to purchase the pro edition👍
Put ChatdollKit/Prefabs/ChatdollKit or ChatdollKit/Prefabs/ChatdollKitVRM to the scene. And, create EventSystem to use UI components.
Select Setup ModelController in the context menu of ModelController. If NOT VRM, make sure that shapekey for blink to Blink Blend Shape Name is set after setup. If not correct or blank, set it manually.
Select Setup Animator in the context menu of ModelController and select the folder that contains animation clips or their parent folder. In this case put animation clips in 01_Idles and 03_Others onto Base Layer for override blending, 02_Layers onto Additive Layer for additive blending.
Next, see the Base Layer of newly created AnimatorController in the folder you selected. Confirm the value for transition to the state you want to set it for idle animation.
Lastly, set the value to Idle Animation Value on the inspector of ModelController.
On the inspector of DialogController, set Wake Word to start conversation (e.g. hello / こんにちは🇯🇵), Cancel Word to stop comversation (e.g. end / おしまい🇯🇵), Prompt Voice to require voice request from user (e.g. what's up? / どうしたの?🇯🇵).
Select the speech service (OpenAI/Azure/Google/Watson) you use and set API key and some properties like Region and BaseUrl on inspector of ChatdollKit.
<img src="Documents/Images/chatdollkit.png" width="640">Attach the common components to use LLM:
Additionally, attach the specific LLM vendor component you want to use and set the API key:
Select Setup VRC FaceExpression Proxy in the context menu of VRC FaceExpression Proxy. Neutral, Joy, Angry, Sorrow and Fun face expression with all zero value and Blink face with blend shape for blink = 100.0f are automatically created.
You can edit shape keys by editing Face Clip Configuration directly or by capturing on inspector of VRCFaceExpressionProxy.
<img src="Documents/Images/faceexpressionedit.png" width="640">Press Play button of Unity editor. You can see the model starts with idling animation and blinking.
Wake Word on inspector (e.g. hello / こんにちは🇯🇵)Prompt Voice on inspector (e.g. what's up? / どうしたの?🇯🇵)To use Azure OpenAI Service set following info on inspector of ChatGPTService component:
Chat Completion Urlformat: https://{your-resource-name}.openai.azure.com/openai/deployments/{deployment-id}/chat/completions?api-version={api-version}
API Key to Api Key
Set true to Is Azure
NOTE: Model on inspector is ignored. Engine in url is used.
See the MultiSkills example. That is more rich application including:
Router is an example of how to decide the topic user want to talkTranslateDialog is an example that shows how to process dialogWe are now preparing contents to create more rich virtual assistant using ChatdollKit.
Refer to the following tips for now. We are preparing demo for WebGL.
To use dlopen, you need to use Emscripten’s linking support, see https://github.com/kripken/emscripten/wiki/Linkingawait) because JavaScript doesn't support threading. Use UniTask instead.ChatdollMicrophone that is compatible with WebGL.

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