MoodAnalyzer

MoodAnalyzer is a reusable function that uses TensorFlow.js and MobileNet to analyze the mood from an image.

Installation

You can install the package using npm:

1npm install mood-analyzer
2
3## Usage
4Here’s an example of how to use the MoodAnalyzer function in your React Native project:
5
6import React, { useState } from 'react';
7import { View, Button, Image, Text } from 'react-native';
8import * as ImagePicker from 'react-native-image-picker';
9import MoodAnalyzer from 'mood-analyzer';
10
11const App = () => {
12  const [imageUri, setImageUri] = useState<string | null>(null);
13  const [mood, setMood] = useState<string | null>(null);
14
15  const pickImage = async () => {
16    const result = await ImagePicker.launchImageLibrary({
17      mediaType: 'photo',
18      includeBase64: true,
19    });
20
21    if (result.assets && result.assets.length > 0) {
22      const uri = result.assets[0].uri;
23      if (uri) {
24        setImageUri(uri);
25        const moodResult = await MoodAnalyzer(result.assets[0].base64);
26        setMood(moodResult);
27      }
28    }
29  };
30
31  return (
32    <View>
33      <Button title="Pick an Image" onPress={pickImage} />
34      {imageUri && <Image source={{ uri: imageUri }} style={{ width: 200, height: 200 }} />}
35      {mood && <Text>Mood: {mood}</Text>}
36    </View>
37  );
38};
39
40export default App;
41
42
43## Function
44MoodAnalyzer(base64: string | undefined): Promise<string | undefined>
45Analyzes the mood from a base64-encoded image string and returns a mood prediction.
46
47## Parameters
48base64: A base64-encoded string of the image to analyze.
49
50## Returns
51A promise that resolves to a string indicating the mood (“Happy” or “Sad”) or an error message if the analysis fails.
52
53## Dependencies
54@tensorflow/tfjs: ^3.9.0
55@tensorflow/tfjs-react-native: ^0.5.0
56@tensorflow-models/mobilenet: ^2.1.0
57canvas: ^2.8.0
58react-native-image-picker: ^4.0.6
59
60## License
61This project is licensed under the MIT License - see the LICENSE file for details.