/flutterflow-tutorials

How to set up a music recognition feature in FlutterFlow?

Learn how to implement a music recognition feature in your FlutterFlow app. Our step-by-step guide walks you through creating a new project, setting up the UI, and linking the necessary APIs.

Matt Graham, CEO of Rapid Developers

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How to set up a music recognition feature in FlutterFlow?

 

Setting Up a Music Recognition Feature in FlutterFlow

 

Implementing a music recognition feature in FlutterFlow involves integrating third-party services due to the lack of a built-in audio recognition capability in FlutterFlow. This guide will walk you through the process of implementing such a feature using APIs like ACRCloud or Shazam, alongside FlutterFlow.

 

Prerequisites

 

  • Ensure you have a FlutterFlow account and access to a project where you want to integrate the music recognition feature.
  • A basic understanding of Flutter widgets and FlutterFlow's visual app builder interface.
  • An account with a suitable music recognition API provider such as ACRCloud or Shazam, including access to their API documentation and credentials.

 

Setting Up the FlutterFlow Project

 

  • Log in to your FlutterFlow account and open your project.
  • Navigate to the widget tree to manage your app's layout where the music recognition feature will be added.
  • Add any widget that will serve as the user interface for starting the music recognition process, such as a button labeled "Recognize Music".

 

Creating a Custom Action for API Integration

 

  • FlutterFlow allows integrating custom Dart code through the use of Custom Actions.
  • Navigate to the "Custom Actions" section of FlutterFlow.
  • Create a new custom action named something like "CallMusicRecognitionAPI".
  • Add necessary Dart packages that the API requires (e.g., http for sending requests).

 

Writing Code to Interact with the API

 

  • In the custom action's code editor, write the code to send an audio sample to the music recognition API:
  •   import 'dart:convert';
      import 'package:http/http.dart' as http;
    
    

    Future<void> callMusicRecognitionAPI(String audioFilePath) async {
    final response = await http.post(
    Uri.parse('YOUR_API_ENDPOINT'),
    headers: {
    'Authorization': 'Bearer YOUR_ACCESS_TOKEN',
    'Content-Type': 'application/octet-stream',
    },
    body: await _loadAudioFile(audioFilePath),
    );

    if (response.statusCode == 200) {
      final data = jsonDecode(response.body);
      print('Song recognized: ${data\['metadata']\['music']\[0]\['title']}');
    } else {
      print('Failed to recognize music: ${response.reasonPhrase}');
    }
    

    }

    Future<List<int>> _loadAudioFile(String path) async {
    // Logic to load the audio file into a byte array
    }


  • Replace 'YOUR_API_ENDPOINT' and 'YOUR_ACCESS_TOKEN' with your API endpoint and access token respectively.

  • Implement the logic in _loadAudioFile to load audio content to be sent to the API.

 

Integrating the Recognition Feature with FlutterFlow's UI

 

  • Link the custom action to the UI, such as assigning it to the "onPressed" event of a button.
  • To do this, select the button in the widget tree, then configure its Action Flow to call your callMusicRecognitionAPI custom action when activated.

 

Testing and Debugging the Feature

 

  • Utilize FlutterFlow's preview tools to test the music recognition feature.
  • Debug any issues by checking the console outputs for errors or unexpected responses from the music recognition API.
  • Ensure that audio data is being captured and sent correctly to the API for analysis.

 

Deploying the App with Music Recognition

 

  • Once the feature has been reliably tested, proceed to deploy your app.
  • Ensure that API keys and other sensitive data are securely stored and appropriately configured for production environments.
  • Test the app on different devices to confirm consistent performance and functionality of the music recognition feature.

 

By following these steps, you should be able to implement a music recognition feature within your FlutterFlow app, allowing users to identify music using an integrated service. This approach combines the flexibility of custom code with FlutterFlow's visual tools.

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