flutter_gemma_mediapipe

MediaPipe (.task) on-device inference engine for flutter_gemma. Opt-in package — add it only if you run MediaPipe .task models. Android, iOS, and Web.

Usage

import 'package:flutter_gemma/flutter_gemma.dart';
import 'package:flutter_gemma_mediapipe/flutter_gemma_mediapipe.dart';

await FlutterGemma.initialize(
  inferenceEngines: [MediaPipeEngine()],
);

MediaPipeEngine handles ModelFileType.task / .bin models; pass it alongside other engines (e.g. LiteRtLmEngine from flutter_gemma_litertlm) if your app uses both formats.

Web setup

On Web, the MediaPipe runtime is loaded from a CDN. Add this to your app's web/index.html (inside a <script type="module"> before your Flutter bootstrap), exposing the symbols on window:

<script type="module">
import { FilesetResolver, LlmInference } from 'https://cdn.jsdelivr.net/npm/@mediapipe/tasks-genai@0.10.27';
window.FilesetResolver = FilesetResolver;
window.LlmInference = LlmInference;
</script>

(Android/iOS need no extra setup — the MediaPipe Pod/Gradle deps are bundled by this package.)

Platforms

Platform	Support
Android	✅ MediaPipeTasksGenAI (Gradle)
iOS	✅ MediaPipeTasksGenAI (CocoaPods)
Web	✅ @mediapipe/tasks-genai (CDN, see above)
Desktop	❌ (MediaPipe .task not supported on desktop — use flutter_gemma_litertlm)

Libraries

flutter_gemma_mediapipe

MediaPipe (.task) on-device inference engine for flutter_gemma.

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