API method description

using System;
using System.Collections.Generic;
using System.Net.Http;
using System.Threading.Tasks;
using System.IO;

namespace TTS
{
  class Program
  {
    static void Main()
    {
      Tts().GetAwaiter().GetResult();
    }

    static async Task Tts()
    {
      const string iamToken = "CggaATEVAgA..."; // Specify the IAM token.
      const string folderId = "b1gvm4b03aoopfsct641"; // Specify the folder ID.

      HttpClient client = new HttpClient();
      client.DefaultRequestHeaders.Add("Authorization", "Bearer " + iamToken);
      var values = new Dictionary<string, string>
      {
        { "voice", "zahar" },
        { "emotion", "good" },
        { "folderId", folderId },
        { "lang", "en-US" },
        { "text": "Hello world" },
        { 'format': 'lpcm' },
        { 'sampleRateHertz': 48000 }
      };
      var content = new FormUrlEncodedContent(values);
      var response = await client.PostAsync("https://tts.api.cloud.yandex.net/speech/v1/tts:synthesize", content);
      var responseBytes = await response.Content.ReadAsByteArrayAsync();
      File.WriteAllBytes("speech.pcm", responseBytes);
    }
  }
}

import argparse

import requests


def synthesize(folder_id, iam_token, text):
    url = 'https://tts.api.cloud.yandex.net/speech/v1/tts:synthesize'
    headers = {
        'Authorization': 'Bearer ' + iam_token,
    }

    data = {
        'text': text,
        'voice': 'alyss',
        'emotion': 'good',
        'folderId': folder_id,
        'lang': 'en-US',
        'format': 'lpcm',
        'sampleRateHertz': 48000,
    }

    resp = requests.post(url, headers=headers, data=data)
    if resp.status_code != 200:
        raise RuntimeError("Invalid response received: code: %d, message: %s" % (resp.status_code, resp.text))

    return resp.content


if __name__ == "__main__":
    parser = argparse.ArgumentParser()
    parser.add_argument("--iam_token", required=True, help="IAM token")
    parser.add_argument("--folder_id", required=True, help="Folder id")
    parser.add_argument("--text", required=True, help="Text for synthesize")
    parser.add_argument("--output", required=True, help="Output file name")
    args = parser.parse_args()

    audio_content = synthesize(args.folder_id, args.iam_token, args.text)
    with open(args.output, "wb") as f:
        f.write(audio_content)