项目地址
部署
1. 克隆仓库到本地，运行main.py即可本地运行
2. 基于DockFile可构建自定义的docker镜像，按需选择暴露端口
使用
使用Post请求
post请求会返回音频流文件.需要保存到本地后播放
http://localhost:10010/synthesize
text: 需要合成的文本
voice: 合成音色
rate: 音频速率
volume: 音频音量
//Kotlin方法模拟播放，使用Ktor和JPlayer
fun requestAudio(text: String, gson: Gson, audioPlayer: AudioPlayer) {
runBlocking {
val client = HttpClient(CIO) {
install(ContentNegotiation) {
json(Json {
ignoreUnknownKeys = true
prettyPrint = true
})
}
install(Logging) {
level = LogLevel.INFO
}
}
val requestBody = mapOf(
"text" to text,
"voice" to "zh-CN-XiaoxiaoNeural",
"rate" to 12,
"volume" to 0
)
try {
val response: HttpResponse = client.post("http://localhost:8000/synthesize") {
contentType(ContentType.Application.Json)
setBody(gson.toJson(requestBody))
}
if (response.status.value == 200) {
val file = File("output.mp3")
//保存音频文件到本地
FileOutputStream(file).use { outputStream ->
val byteChannel: ByteReadChannel = response.bodyAsChannel()
val buffer = ByteArray(4096)
while (!byteChannel.isClosedForRead) {
val bytesRead = byteChannel.readAvailable(buffer)
if (bytesRead > 0) {
outputStream.write(buffer, 0, bytesRead)
}
}
}
println("Audio saved successfully as output.wav")
//写入结束后播放
playMp3(file)
} else {
println("Request failed with status code: ${response.status.value}")
}
} catch (e: Exception) {
e.printStackTrace()
} finally {
client.close()
}
}
}
//播放，同步接口
fun playMp3(file: File) {
try {
val player = Player(FileInputStream(file))
player.play()
} catch (e: JavaLayerException) {
e.printStackTrace()
} catch (e: Exception) {
e.printStackTrace()
}
}
使用Get请求
get请求会返回一个可直接播放的音频文件
http://localhost:10010/stream_audio?text=%E4%BB%8A%E5%A4%A9%E7%9A%84%E5%A4%A9%E6%B0%94%E6%80%8E%E4%B9%88%E6%A0%B7&voice=zh-CN-XiaoxiaoNeural&rate=12&volume=0
text: 需要合成的文本
voice: 合成音色
rate: 音频速率
volume: 音频音量