Gemini TTS gemini 2.5 pro tts

import { GeminiTtsClient } from "@runapi.ai/gemini-tts";

const client = new GeminiTtsClient();
const result = await client.textToSpeech.run({
    model: "gemini-2.5-pro-tts",
    text: "生成一段雙人 Podcast 開場白，由沉穩的英國主持人和充滿活力的美國來賓對談。",
});

import os
import requests

response = requests.post(
    "https://runapi.ai/api/v1/gemini_tts/text_to_speech",
    headers={"Authorization": f"Bearer {os.environ['RUNAPI_API_KEY']}"},
    json={"model":"gemini-2.5-pro-tts","text":"生成一段雙人 Podcast 開場白，由沉穩的英國主持人和充滿活力的美國來賓對談。"}
)
response.raise_for_status()

<?php

$client = curl_init("https://runapi.ai/api/v1/gemini_tts/text_to_speech");
curl_setopt_array($client, [
    CURLOPT_HTTPHEADER => ["Authorization: Bearer " . getenv("RUNAPI_API_KEY"), "Content-Type: application/json"],
    CURLOPT_POSTFIELDS => json_encode([
        'model' => 'gemini-2.5-pro-tts',
        'text' => '生成一段雙人 Podcast 開場白，由沉穩的英國主持人和充滿活力的美國來賓對談。',
    ])
]);
$response = curl_exec($client);

RunApi client = new RunApi(System.getenv("RUNAPI_API_KEY"));
Task task = client.textToSpeech().run({"model":"gemini-2.5-pro-tts","text":"生成一段雙人 Podcast 開場白，由沉穩的英國主持人和充滿活力的美國來賓對談。"});
task.waitForResult();

require "runapi/gemini_tts"

client = RunApi::GeminiTts::Client.new
result = client.text_to_speech.run(
    model: "gemini-2.5-pro-tts",
    text: "生成一段雙人 Podcast 開場白，由沉穩的英國主持人和充滿活力的美國來賓對談。"
)

client := runapi.NewClient(os.Getenv("RUNAPI_API_KEY"))
task, err := client.textToSpeech.Run({"model":"gemini-2.5-pro-tts","text":"生成一段雙人 Podcast 開場白，由沉穩的英國主持人和充滿活力的美國來賓對談。"})
if err != nil { log.Fatal(err) }
task.Wait()

$ runapi generate \
    --model gemini-2.5-pro-tts \
    --endpoint text_to_speech \
    --wait