Tenor

Pub Package

License: MIT

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Fetch, Search GIF more easily and customised manner from Tenor

This library is MIT licensed, which means you can use it anywhere without any consent from justkawal, because we believe in Open-Source

Table of Contents

Installing
Usage
Upcoming Features

Lets Get Started

1. Depend on it

Add this to your package's pubspec.yaml file:

dependencies:
  tenor:

2. Install it

You can install packages from the command line:

with pub:

$  pub get

with Flutter:

$  flutter packages get

3. Import it

Now in your Dart code, you can use:

import 'package:tenor/tenor.dart';

Usage

Initialize Tenor

Initialize Tenor library

Tenor tenor = Tenor(apiKey: 'ApiKey', language: TenorLanguage.English);

Select the Language Codes

TenorLanguage provides codes for different ISO 639-1 language code

var englishCode = TenorLanguage.English;

Generating the Anonymous Id

Requests anon_id from tenor

Get an anonymous ID for a new user.

Store the ID in the client’s cache for use on any additional API calls made by the user, either in this session or any future sessions.

Note: using anonymous ID to personalize API responses requires custom development.

For more info on anon_id: https://tenor.com/gifapi/documentation#endpoints-anonymousid

var tenorApi = Tenor(apiKey: 'Tenor Api');
String? res = await tenorApi.generateAnonId();

Fetch Trending GIF

Returns response containing a list of the current global trending GIFs. The trending stream is updated regularly throughout the day.

Important: limit: 1 <= limit <= 50

// Future<TenorResponse?> requestTrendingGIF({
//   int limit = 20,
//   ContentFilter contentFilter = ContentFilter.high,
//   GifSize size = GifSize.all,
//   MediaFilter mediaFilter = MediaFilter.minimal,
//   String anon_id = '',
//   bool canRegisterShare = false,
// })

Tenor tenor = Tenor(apiKey: 'Tenor Api');

// fetch trending Gif
TenorResponse? res = await tenor.requestTrendingGIF(limit: 5);
res?.results.forEach((TenorResult tenorResult) {
  var title = tenorResult.title;
  var media = tenorResult.media;
  print('$title: gif : ${media?.gif?.previewUrl?.toString()}');
});

Search GIF

Returns response containing a list of the searched Gif from Tenor.

Important: limit: 1 <= limit <= 50

// Future<TenorResponse?> searchGIF(
//   String search, {
//   int limit = 20,
//   ContentFilter contentFilter = ContentFilter.high,
//   GifSize size = GifSize.all,
//   MediaFilter mediaFilter = MediaFilter.minimal,
//   String anon_id = '',
//   bool canRegisterShare = false,
// })

Tenor tenor = Tenor(apiKey: 'Tenor Api');

// search Gif
TenorResponse? res = await tenor.searchGIF('universe', limit: 5);
res?.results.forEach((TenorResult tenorResult) {
  var title = tenorResult.title;
  var media = tenorResult.media;
  print('$title: gif : ${media?.gif?.previewUrl?.toString()}');
});

Fetch Random GIF

Get a randomized list of GIFs for a given search term. This differs from the search function which returns a rank ordered list of GIFs for a given search term.

Important: limit: 1 <= limit <= 50

// Future<TenorResponse?> randomGIF(
//   String search, {
//   int limit = 20,
//   ContentFilter contentFilter = ContentFilter.high,
//   GifSize size = GifSize.all,
//   MediaFilter mediaFilter = MediaFilter.minimal,
//   String anon_id = '',
//   bool canRegisterShare = false,
// })

Tenor tenor = Tenor(apiKey: 'Tenor Api');

// random Gif
TenorResponse? res = await tenor.randomGIF('universe', limit: 5);
res?.results.forEach((TenorResult tenorResult) {
  var title = tenorResult.title;
  var media = tenorResult.media;
  print('$title: gif : ${media?.gif?.previewUrl?.toString()}');
});

Search Suggestions

Search suggestions helps a user narrow their search or discover related search terms to find a more precise GIF. Results are returned in order of what is most likely to drive a share for a given term, based on historic user search and share behavior.

Important: limit: 1 <= limit <= 50

// Future<List<String>> searchSuggestions(
//   String search, {
//   int limit = 20,
//   bool automaticallyRegisterShare = false,
//   String anon_id = '',
// })

Tenor tenor = Tenor(apiKey: 'Tenor Api');

// suggestions
List<String> suggestions = await tenor.searchSuggestions('universe', limit: 5);

Trending search

Returns response containing a list of the current trending search terms. The list is updated Hourly by Tenor’s AI.

Important: limit: 1 <= limit <= 50

// Future<List<String>> trendingSearch(
//   int limit = 20,
// })

Tenor tenor = Tenor(apiKey: 'Tenor Api');

// trending search results
List<String> suggestions = await tenor.trendingSearch(limit: 5);

Auto complete

Returns response containing a list of completed search terms given a partial search term. The list is sorted by Tenor’s AI and the number of results will decrease as Tenor’s AI becomes more certain.

Important: limit: 1 <= limit <= 50

// Future<List<String>> autoComplete(
//   String search, {
//   int limit = 20,
//   bool automaticallyRegisterShare = false,
//   String anon_id = '',
// })

Tenor tenor = Tenor(apiKey: 'Tenor Api');

// auto complete results
List<String> autoCompleted = await tenor.autoComplete('un', limit: 5);

Register Share

This helps further tune Tenor’s Search Engine AI, helping users more easily find the perfect GIF.

As Tenor’s service evolves, it will be used to better tune search results to your users’ specific languages, cultures, and social trends.

Note: To use registerShare It is important pass the anon_id and language_key on the tenor api initialization.

For more info head to: https://tenor.com/gifapi/documentation#endpoints-registershare

   String userId = 'Anon_id generated from Tenor Server';
   
   Tenor tenor = Tenor(apiKey: 'ApiKey', language: TenorLanguage.English);
   
   TenorResult tenorResultObject = ............;
   
   String? isRegistered = await tenorResultObject.registerShare();
   
   if (isRegistered != null && isRegistered == 'ok'){
      print('Sharing Registered: $isRegistered');
   } else {
      print('not registered ');
   }

Fetching Categories

Requests Categories from tenor

// Future<List<TenorCategories?>> requestCategories({
//   ContentFilter contentFilter = ContentFilter.high,
//   CategoryType categoryType = CategoryType.featured,
// })

Tenor tenor = Tenor(apiKey: 'Tenor Api');

// list of categories
List<TenorCategories?> categories = await tenor.requestCategories();

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Fetching Options

key	description
limit	eg. limit the number of GIF to be fetched. limit can vary from `1 to 50`
contentFilter	(values: `off`, `low`, `medium`, `high`) specify the content safety filter level. eg. `contentFilter: ContentFilter.low`
mediaFilter	(values: `basic`, `minimal`) Reduce the Number of GIF formats returned in response. `minimal- (tinygif, gif, and mp4)`. `basic- (nanomp4, tinygif, tinymp4, gif, mp4, and nanogif)` eg. `mediaFilter: MediaFilter.minimal`
size	GIFs with `aspect ratios` that fit with in the selected range. values: (`all`, `wide`, `standard`), `all` - no constraints, `wide` - 0.42 <= aspect ratio <= 2.36, `standard` - .56 <= aspect ratio <= 1.78

Fetch Next Set of GIF Response

fetchNext() is used to get next set of response for the current query

// Future<TenorResponse?> fetchNext({int limit = 20});

// here the fetchNext function is used to call next set of GIF which is sequenced after current response

TenorResponse? firstSetResponse = await tenor. /*.... Functions used to get TenorResponse? ....*/

TenorResponse? nextResult = await firstSetResponse?.fetchNext();

nextResult?.results.forEach((tenorResult) {
  var title = tenorResult.title;
  var media = tenorResult.media;
  print('$title: gif : ${media?.gif?.previewUrl?.toString()}');
});

Fetching Next Options

key	description
limit	eg. limit the number of GIF to be fetched. limit can vary from `1 to 50`

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What's next ? 🤔

We are thinking what we should give next after giving all these features. ( Your donation would help me to collect money to pay my rent. )
If you have any new feature request then go ahead and ping me, I'll integrate it.