How to fix error invalid hook call react native

How can I fix this error in react native:

Error: Invalid hook call. Hooks can only be called inside of the body of a function component. This could happen for one of the following reasons:

1. You might have mismatching versions of React and the renderer (such as React DOM)
2. You might be breaking the Rules of Hooks
3. You might have more than one copy of React in the same app

import { cameraWithTensors } from "@tensorflow/tfjs-react-native";import { Camera } from "expo-camera";import { StatusBar } from "expo-status-bar";import React, { useEffect, useState, useRef } from "react";import {  StyleSheet,  Text,  View,  Platform,  Dimensions,  LogBox,} from "react-native";import * as cocoSsd from "@tensorflow-models/coco-ssd";import { model } from "@tensorflow/tfjs";import * as tf from "@tensorflow/tfjs";import Canvas from "react-native-canvas";const TensorCamera = cameraWithTensors(Camera);const { width, height } = Dimensions.get("window");let context = useRef<CanvasRenderingContext2D>();let canvas = useRef<Canvas>();export default function App() {  const [model, setModel] = useState<cocoSsd.ObjectDetection>();  let textureDims =    Platform.OS === "ios"      ? { height: 1920, width: 300 }      : { height: 300, width: 300 };  function handleCameraStream(images: any) {    const loop = async () => {      const nextImageTensor = images.next().value;      if (!model || !nextImageTensor)        throw new Error("No model or image tensor");      model        .detect(nextImageTensor)        .then((predictions) => {          drawRectangle(predictions, nextImageTensor);        })        .catch((error) => {          console.log(error);        });      requestAnimationFrame(loop);    };    loop();  }  function drawRectangle(    predictions: cocoSsd.DetectedObject[],    nextImageTensor: any,  ) {    if (!context.current || !canvas.current) return;    const scaleWidth = width / nextImageTensor.shape[1];    const scaleHeight = height / nextImageTensor.shape[0];    const flipHorizontal = Platform.OS == "ios" ? false : true;    context.current.clearRect(0, 0, width, height);    for (const prediction of predictions) {      const [x, y, width, height] = prediction.bbox;      const boundingBoxX = flipHorizontal        ? canvas.current.width - x * scaleWidth - width * scaleWidth        : x * scaleWidth;      const boundingBoxY = y * scaleHeight;      context.current.strokeRect(        boundingBoxX,        boundingBoxY,        width * scaleWidth,        height * scaleHeight,      );      context.current.strokeText(        prediction.class,        boundingBoxX - 5,        boundingBoxY - 5,      );    }  }  async function handleCanvas(can: Canvas) {    if (can) {      can.width = width;      can.height = height;      const ctx: CanvasRenderingContext2D = can.getContext("2d");      ctx.strokeStyle = "red";      ctx.fillStyle = "red";      ctx.lineWidth = 3;      context.current = ctx;      canvas.current = can;    }  }  useEffect(() => {    (async () => {      const { status } = await Camera.requestPermissionsAsync();      await tf.ready();      setModel(await cocoSsd.load());    })();  }, []);  return (<View style={styles.container}><TensorCamera        style={styles.camera}        type={Camera.Constants.Type.back}        cameraTextureHeight={textureDims.height}        cameraTextureWidth={textureDims.width}        resizeHeight={200}        resizeDepth={3}        onReady={handleCameraStream}        autorender={true}        useCustomShadersToResize={false}        resizeWidth={0}      /><Canvas style={styles.canvas} ref={handleCanvas} /></View>  );}const styles = StyleSheet.create({  container: {    flex: 1,    backgroundColor: "#fff",  },  camera: { width: "100%", height: "100%" },  canvas: {    position: "absolute",    zIndex: 1000000,    width: "100%",    height: "100",  },});