README

A comprehensive Laravel package for integrating Sarvam AI's powerful speech-to-text, text-to-speech, translation, and chat completion capabilities into your Laravel applications.

Features

• Speech to Text: Convert audio files to text
• Speech to Text with Translation: Convert audio to text with automatic translation
• Text to Speech: Generate audio from text
• Text Translation: Translate text between languages
• Language Identification: Detect the language of text
• Text Transliteration: Convert text between scripts
• Chat Completions: AI-powered chat responses
• Laravel Integration: Built specifically for Laravel with facades and service providers
• Error Handling: Comprehensive error handling with custom exceptions
• Configuration: Flexible configuration options

Installation

Install the package via Composer:

composer require nextbuild/sarvam-ai-laravel

Laravel Auto-Discovery

The package will automatically register itself with Laravel's package auto-discovery feature.

Manual Registration (if needed)

If auto-discovery is disabled, manually add the service provider to your config/app.php:

'providers' => [
    // Other providers...
    NextBuild\SarvamAI\SarvamAIServiceProvider::class,
],

'aliases' => [
    // Other aliases...
    'SarvamAI' => NextBuild\SarvamAI\Facades\SarvamAI::class,
],

Configuration

Publish the configuration file:

php artisan vendor:publish --tag=sarvam-ai-config

Add your Sarvam AI API key to your .env file:

SARVAM_AI_API_KEY=your-api-key-here

Usage

Using the Facade

use NextBuild\SarvamAI\Facades\SarvamAI;

// Speech to Text
$response = SarvamAI::speechToText('/path/to/audio/file.wav', 'saarika:v1', 'hi-IN');
$transcript = $response->getTranscript();

// Text to Speech
$response = SarvamAI::textToSpeech('Hello world', 'en-IN');
$audioUrl = $response->getAudioUrl();

// Translation
$response = SarvamAI::translateText('Hello world', 'en-IN', 'hi-IN');
$translatedText = $response->getTranslatedText();

// Chat Completions
$messages = [
    ['role' => 'user', 'content' => 'Hello, how are you?']
];
$response = SarvamAI::chatCompletions($messages);
$reply = $response->getChatCompletionContent();

Using Dependency Injection

use NextBuild\SarvamAI\SarvamAI;

class YourController extends Controller
{
    protected $sarvamAI;

    public function __construct(SarvamAI $sarvamAI)
    {
        $this->sarvamAI = $sarvamAI;
    }

    public function translateText(Request $request)
    {
        $response = $this->sarvamAI->translateText(
            $request->input('text'),
            $request->input('source_language', 'auto'),
            $request->input('target_language', 'en-IN')
        );

        return response()->json([
            'translated_text' => $response->getTranslatedText(),
            'original_data' => $response->getData()
        ]);
    }
}

API Methods

Speech to Text

Convert audio files to text:

$response = SarvamAI::speechToText('/path/to/audio/file.wav');
$transcript = $response->getTranscript();

Speech to Text with Translation

Convert audio to text with automatic translation:

$response = SarvamAI::speechToTextTranslate('/path/to/audio/file.wav', null, 'saarika:v1');
$transcript = $response->getTranscript();

Text to Speech

Generate audio from text:

$response = SarvamAI::textToSpeech('Hello world', 'en-IN');
$audioUrl = $response->getAudioUrl();

Text Translation

Translate text between languages:

$response = SarvamAI::translateText('Hello world', 'en-IN', 'hi-IN');
$translatedText = $response->getTranslatedText();

Language Identification

Detect the language of text:

$response = SarvamAI::identifyLanguage('Hello world');
$detectedLanguage = $response->getDetectedLanguage();

Text Transliteration

Convert text between scripts:

$response = SarvamAI::transliterateText('Hello world', 'en-IN', 'hi-IN');
$transliteratedText = $response->getTransliteratedText();

Chat Completions

AI-powered chat responses:

$messages = [
    ['role' => 'user', 'content' => 'What is the capital of India?']
];
$response = SarvamAI::chatCompletions($messages, 'sarvam-m');
$reply = $response->getChatCompletionContent();

Response Handling

All methods return a SarvamAIResponse object with the following methods:

$response = SarvamAI::translateText('Hello', 'en-IN', 'hi-IN');

// Get specific data
$translatedText = $response->getTranslatedText();
$statusCode = $response->getStatusCode();
$headers = $response->getHeaders();

// Get raw data
$data = $response->getData();
$body = $response->getBody();

// Convert to array or JSON
$array = $response->toArray();
$json = $response->toJson();

// Check if successful
$isSuccessful = $response->isSuccessful();

Error Handling

The package throws SarvamAIException for API errors:

use NextBuild\SarvamAI\Exceptions\SarvamAIException;

try {
    $response = SarvamAI::translateText('Hello world', 'en-IN', 'hi-IN');
    $translatedText = $response->getTranslatedText();
} catch (SarvamAIException $e) {
    // Handle the error
    Log::error('Sarvam AI Error: ' . $e->getMessage());
    return response()->json(['error' => 'Translation failed'], 500);
}

Configuration Options

The configuration file includes the following options:

return [
    'api_key' => env('SARVAM_AI_API_KEY'),
    'default_source_language' => env('SARVAM_AI_DEFAULT_SOURCE_LANGUAGE', 'auto'),
    'default_target_language' => env('SARVAM_AI_DEFAULT_TARGET_LANGUAGE', 'en-IN'),
    'timeout' => env('SARVAM_AI_TIMEOUT', 30),
    'retry' => env('SARVAM_AI_RETRY', 3),
    'chat' => [
        'default_model' => env('SARVAM_AI_DEFAULT_MODEL', 'sarvam-m'),
        'max_tokens' => env('SARVAM_AI_MAX_TOKENS=1000
SARVAM_AI_TEMPERATURE=0.7

Advanced Usage

Custom API Key

You can set a custom API key at runtime:

SarvamAI::setApiKey('your-custom-api-key')->translateText('Hello', 'en-IN', 'hi-IN');

Custom Timeout

Set a custom timeout for requests:

SarvamAI::setTimeout(60)->speechToText('/path/to/long/audio/file.wav');

Chaining Methods

You can chain configuration methods:

$response = SarvamAI::setApiKey('custom-key')
    ->setTimeout(60)
    ->translateText('Hello world', 'en-IN', 'hi-IN');

Working with Files

For speech-to-text operations, ensure your audio files are in supported formats:

// Supported formats: WAV, MP3, FLAC, etc.
$audioFile = storage_path('app/audio/sample.wav');
$response = SarvamAI::speechToText($audioFile);

if ($response->isSuccessful()) {
    $transcript = $response->getTranscript();
    // Process the transcript
}

Testing

The package includes comprehensive tests. Run them with:

composer test

For test coverage:

composer test-coverage

Examples

Complete Translation Service

<?php

namespace App\Services;

use NextBuild\SarvamAI\Facades\SarvamAI;
use NextBuild\SarvamAI\Exceptions\SarvamAIException;

class TranslationService
{
    public function translateContent(string $content, string $targetLanguage = 'hi-IN'): array
    {
        try {
            // First, identify the language
            $langResponse = SarvamAI::identifyLanguage($content);
            $detectedLanguage = $langResponse->getDetectedLanguage();
            
            // Then translate
            $translateResponse = SarvamAI::translateText($content, $detectedLanguage, $targetLanguage);
            
            return [
                'success' => true,
                'original_text' => $content,
                'detected_language' => $detectedLanguage,
                'target_language' => $targetLanguage,
                'translated_text' => $translateResponse->getTranslatedText(),
            ];
        } catch (SarvamAIException $e) {
            return [
                'success' => false,
                'error' => $e->getMessage(),
            ];
        }
    }
}

Audio Processing Service

<?php

namespace App\Services;

use NextBuild\SarvamAI\Facades\SarvamAI;
use NextBuild\SarvamAI\Exceptions\SarvamAIException;
use Illuminate\Http\UploadedFile;

class AudioProcessingService
{
    public function processAudioFile(UploadedFile $audioFile, bool $withTranslation = false): array
    {
        try {
            // Store the uploaded file temporarily
            $path = $audioFile->storeAs('temp', uniqid() . '.' . $audioFile->getClientOriginalExtension());
            $fullPath = storage_path('app/' . $path);
            
            // Process based on requirements
            if ($withTranslation) {
                $response = SarvamAI::speechToTextTranslate($fullPath);
            } else {
                $response = SarvamAI::speechToText($fullPath);
            }
            
            // Clean up temporary file
            unlink($fullPath);
            
            return [
                'success' => true,
                'transcript' => $response->getTranscript(),
                'full_response' => $response->getData(),
            ];
        } catch (SarvamAIException $e) {
            return [
                'success' => false,
                'error' => $e->getMessage(),
            ];
        }
    }
}

Chat Service

<?php

namespace App\Services;

use NextBuild\SarvamAI\Facades\SarvamAI;
use NextBuild\SarvamAI\Exceptions\SarvamAIException;

class ChatService
{
    public function generateResponse(array $conversationHistory, string $userMessage): array
    {
        try {
            // Prepare messages array
            $messages = [];
            
            // Add conversation history
            foreach ($conversationHistory as $message) {
                $messages[] = [
                    'role' => $message['role'],
                    'content' => $message['content'],
                ];
            }
            
            // Add current user message
            $messages[] = [
                'role' => 'user',
                'content' => $userMessage,
            ];
            
            // Get AI response
            $response = SarvamAI::chatCompletions($messages);
            
            return [
                'success' => true,
                'response' => $response->getChatCompletionContent(),
                'full_response' => $response->getData(),
            ];
        } catch (SarvamAIException $e) {
            return [
                'success' => false,
                'error' => $e->getMessage(),
            ];
        }
    }
}

API Reference

SarvamAI Class Methods

SarvamAIResponse Class Methods

Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add some amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

License

This package is open-sourced software licensed under the MIT license.

Support

For support, please open an issue on the GitHub repository or contact the maintainers.

Changelog

See CHANGELOG.md for more information on what has changed recently.

Security

If you discover any security related issues, please email the maintainers instead of using the issue tracker.

Credits

• NextBuild
• All Contributors

About Sarvam AI

Sarvam AI provides cutting-edge AI solutions for Indian languages. Learn more at sarvam.ai.TOKENS', 1000), 'temperature' => env('SARVAM_AI_TEMPERATURE', 0.7), ], ];

## Supported Languages

The package supports multiple Indian languages:

- Hindi (hi-IN)
- English (en-IN)
- Bengali (bn-IN)
- Tamil (ta-IN)
- Telugu (te-IN)
- Kannada (kn-IN)
- Malayalam (ml-IN)
- Marathi (mr-IN)
- Gujarati (gu-IN)
- Punjabi (pa-IN)
- Odia (or-IN)
- Urdu (ur-IN)
- Assamese (as-IN)
- Nepali (ne-IN)
- Sinhala (si-IN)
- Myanmar (my-IN)

## Environment Variables

```env
SARVAM_AI_API_KEY=your-api-key-here
SARVAM_AI_DEFAULT_SOURCE_LANGUAGE=auto
SARVAM_AI_DEFAULT_TARGET_LANGUAGE=en-IN
SARVAM_AI_TIMEOUT=30
SARVAM_AI_RETRY=3
SARVAM_AI_DEFAULT_MODEL=sarvam-m
SARVAM_AI_MAX_