Text to Speech REST

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# Install the Deepgram .NET SDK
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# https://github.com/deepgram/deepgram-dotnet-sdk
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dotnet add package Deepgram
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# Optionally, install the Deepgram Microphone package
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dotnet add package Deepgram.Microphone

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using Deepgram.Models.Speak.v1.REST;
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namespace SampleApp
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{
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    class Program
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    {
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        static async Task Main(string[] args)
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        {
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            // Initialize Library with default logging
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            // Normal logging is "Info" level
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            Library.Initialize();
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            // use the client factory with a API Key set with the "DEEPGRAM_API_KEY" environment variable
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            var deepgramClient = ClientFactory.CreateSpeakRESTClient();
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            var response = await deepgramClient.ToFile(
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                new TextSource("Hello World!"),
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                "test.mp3",
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                new SpeakSchema()
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                {
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                    Model = "aura-asteria-en",
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                });
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            //Console.WriteLine(response);
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            Console.WriteLine(response);
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            Console.ReadKey();
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            // Teardown Library
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            Library.Terminate();
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        }
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    }
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}

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using Deepgram.Models.Speak.v1.REST;
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namespace SampleApp
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{
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    class Program
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    {
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        static async Task Main(string[] args)
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        {
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            // Initialize Library with default logging
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            // Normal logging is "Info" level
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            Library.Initialize();
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            // use the client factory with a API Key set with the "DEEPGRAM_API_KEY" environment variable
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            var deepgramClient = ClientFactory.CreateSpeakRESTClient();
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            // STEP 3: send/process the desired text to Deepgram to convert to Speech
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            var response = await deepgramClient.Stream(
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                new TextSource("Hello World!"),
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                new SpeakSchema()
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                {
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                    Model = "aura-asteria-en",
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                });
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            await foreach (var audioSegment in response.AudioStream)
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            {
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                // Process the audio segment received
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            }
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            // Teardown Library
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            Library.Terminate();
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        }
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    }
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}

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using Deepgram.Models.Speak.v1.REST;
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namespace SampleApp
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{
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    class Program
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    {
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        static async Task Main(string[] args)
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        {
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            // Initialize Library with default logging
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            // Normal logging is "Info" level
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            Library.Initialize();
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            // use the client factory with a API Key set with the "DEEPGRAM_API_KEY" environment variable
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            var deepgramClient = ClientFactory.CreateSpeakRESTClient();
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            var inputText = "Your long text goes here...";
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          	// STEP 3: process the desired text in segments
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            // Send each seqment to Deepgram to convert to Speech
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            var segments = SegmentTextBySentence(inputText);
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            foreach (var segment in segments)
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            {
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                var response = await deepgramClient.Stream(
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                    new TextSource(segment),
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                    new SpeakSchema()
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                    {
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                        Model = "aura-asteria-en",
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                    });
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                await foreach (var audioSegment in response.AudioStream)
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                {
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                    // Process the audio segment received
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                }
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            }
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            // Teardown Library
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            Library.Terminate();
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        }
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        static string[] SegmentTextBySentence(string text)
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        {
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            return Regex.Matches(text, @"[^.!?]+[.!?]")
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                        .Cast()
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                        .Select(m => m.Value)
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                        .ToArray();
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        }
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    }
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}