AsyncFakeYou

异关系

AsyncFakeyou是一个异步的Python库，用于与假您的文本到语音API进行交互。它允许您使用Asyncio，AIOHTTP和AIOFILES以异步方式提交TTS请求，跟踪其状态并下载所得的音频文件。

特征

• 异步请求伪造您的TTS API。
• 并行执行控制生成
• 用会话cookie处理用户身份验证

安装

 pip install asyncfakeyou

简单用法

您可以获取生成的音频文件的直接URL。

 from asyncfakeyou import AsyncAudioGen
import asyncio


async def text_to_speech ():
    gen = AsyncAudioGen ( cookies = "your_cookie_string" )
    audio_url = await gen . fetch_audio ( "model_token_here" , "sample_text" )
    print ( audio_url )


asyncio . run ( text_to_speech ())

或者，您可以将生成的音频文件下载到指定的目录。

 from asyncfakeyou import AsyncAudioGen
import asyncio


async def text_to_speech ():
    gen = AsyncAudioGen ( cookies = "your_cookie_string" )
    audio_url = await gen . fetch_and_save_audio ( "model_token_here" , "sample_text" ,
                                               output_path = "./audio" ,
                                               filename = "generated_audio.wav" )
    print ( audio_url )


asyncio . run ( text_to_speech ())

如何获得饼干？

AsyncAudioGen类别类别的cookies参数是可选的。但是，我建议设置它，因为即使没有付费订阅，它也会为您提供更高的队列优先级。如果您有高级帐户，则可以通过此API利用其所有利益。

 from asyncfakeyou import receive_cookies
import asyncio


async def get_my_cookies ():
    cookies = await receive_cookies ( "your_username_or_email" , "your_password" )
    print ( cookies )


asyncio . run ( get_my_cookies ())

并行执行

如果需要生成多个音频文件，则可以使用fetch_tasks和fetch_and_save_tasks加快该过程。这些方法并行处理固定数量的任务（ concurrent_tasks参数），并自动重试失败的请求。 concurrent_tasks的默认值为3，但是您可以调整此参数。

您可以通过直接URL迭代到生成的音频文件。

 from asyncfakeyou import AsyncAudioGen
import asyncio


async def multiple_text_to_speech ():
    gen = AsyncAudioGen ( cookies = "your_cookie_string" )
    audio_tasks = [
        ( "model_token_1" , "sample_text_1" ),
        ( "model_token_2" , "sample_text_2" ),
        ( "model_token_3" , "sample_text_3" )
    ]
    async for audio_url in gen . fetch_tasks ( audio_tasks ):
        print ( audio_url )


asyncio . run ( multiple_text_to_speech ())

或者，您可以将生成的音频文件下载到指定的目录。

 from asyncfakeyou import AsyncAudioGen
import asyncio


async def multiple_text_to_speech ():
    gen = AsyncAudioGen ( cookies = "your_cookie_string" )
    audio_tasks = [
        ( "model_token_1" , "sample_text_1" , "filename1.wav" ),
        ( "model_token_2" , "sample_text_2" , "filename2.wav" ),
        ( "model_token_3" , "sample_text_3" , "filename3.wav" )
    ]
    await gen . fetch_and_save_tasks ( audio_tasks , output_path = "./audio" )


asyncio . run ( multiple_text_to_speech ())

贡献

欢迎捐款！请分配存储库，并通过改进来创建拉动请求。