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----
-title: Fishjam Usage
----
-
-import Tabs from '@theme/Tabs';
-import TabItem from '@theme/TabItem';
-
-:::danger
-This integration is currently in beta.
-:::
-
-## Overview
-
-Starting from v0.9.0, you can use `react-native-executorch` powered background blur integration in your [Fishjam](https://fishjam.io) applications. The package `react-native-executorch-webrtc` exposes a hook, which returns a middleware for your camera streams. We plan to extend this to other models, such as text to speech, speech to text, or other vision models in the future.
-
-## Installation
-
-Install the package with your package manager of choice. Make sure to also have `react-native-executorch` and a resource fetcher adapter installed (see [Getting Started](../01-fundamentals/01-getting-started.md)).
-
-<Tabs>
-  <TabItem value="npm" label="NPM">
-
-    ```bash
-    npm install react-native-executorch-webrtc
-    ```
-
-  </TabItem>
-  <TabItem value="pnpm" label="PNPM">
-
-    ```bash
-    pnpm install react-native-executorch-webrtc
-    ```
-
-  </TabItem>
-  <TabItem value="yarn" label="YARN">
-
-    ```bash
-    yarn add react-native-executorch-webrtc
-    ```
-
-  </TabItem>
-</Tabs>
-
-The following peer dependencies must also be installed in your app:
-
-- `@fishjam-cloud/react-native-client`
-- `@fishjam-cloud/react-native-webrtc`
-- `react-native-executorch`
-
-## Usage
-
-The integration is built around the `SELFIE_SEGMENTATION` model that we export from `react-native-executorch`. It's the only model we currently support and tune for — the blur pipeline expects its specific input shape and output classes, so other segmentation models will not work correctly.
-
-Use `ResourceFetcher` together with `SELFIE_SEGMENTATION.modelSource` to download (and cache) the model, then pass the resulting path to `useBackgroundBlur`. The returned `blurMiddleware` plugs into Fishjam's `cameraTrackMiddleware`.
-
-```tsx
-import { useEffect, useState } from 'react';
-import { Button, Text } from 'react-native';
-import { ResourceFetcher, SELFIE_SEGMENTATION } from 'react-native-executorch';
-import { useBackgroundBlur } from 'react-native-executorch-webrtc';
-import { useCamera } from '@fishjam-cloud/react-native-client';
-
-function VideoCall() {
-  const [modelUri, setModelUri] = useState<string | null>(null);
-
-  useEffect(() => {
-    ResourceFetcher.fetch(() => {}, SELFIE_SEGMENTATION.modelSource).then(
-      (paths) => paths?.[0] && setModelUri(paths[0])
-    );
-  }, []);
-
-  // Wait for the model to be available before mounting the hook —
-  // useBackgroundBlur expects a real path, not an empty string.
-  if (!modelUri) {
-    return <Text>Downloading model…</Text>;
-  }
-
-  return <VideoCallWithBlur modelUri={modelUri} />;
-}
-
-function VideoCallWithBlur({ modelUri }: { modelUri: string }) {
-  const [blurEnabled, setBlurEnabled] = useState(true);
-
-  const { blurMiddleware } = useBackgroundBlur({
-    modelUri,
-    blurRadius: 15,
-  });
-
-  useCamera({
-    cameraTrackMiddleware: blurEnabled ? blurMiddleware : undefined,
-  });
-
-  return (
-    <Button
-      title={blurEnabled ? 'Disable Blur' : 'Enable Blur'}
-      onPress={() => setBlurEnabled(!blurEnabled)}
-    />
-  );
-}
-```
-
-## API
-
-### `useBackgroundBlur(options)`
-
-| Option       | Type     | Description                                                                |
-| ------------ | -------- | -------------------------------------------------------------------------- |
-| `modelUri`   | `string` | **Required.** Path or `file://` URI to the segmentation `.pte` model.      |
-| `blurRadius` | `number` | Optional. Gaussian blur sigma applied to the background. Defaults to `12`. |
-
-Returns:
-
-| Field            | Type              | Description                                                    |
-| ---------------- | ----------------- | -------------------------------------------------------------- |
-| `blurMiddleware` | `TrackMiddleware` | Pass to `useCamera({ cameraTrackMiddleware })` to enable blur. |
-
-The hook initializes the native processor on mount and releases it on unmount, so you don't need to manage its lifecycle manually.