跨语言调用Spark-TTS的三种方案
针对非Python开发环境，可通过以下方式集成Spark-TTS：
方案1：REST API封装（推荐）
- 使用Flask快速创建API服务：
from flask import Flask, request
app = Flask(__name__)
@app.route('/tts', methods=['POST'])
def tts_api():
text = request.json['text']
# 调用Spark-TTS生成逻辑
return send_file('output.wav') - 其他语言通过HTTP请求调用：
– Java使用HttpClient
– C#使用WebRequest
– PHP使用cURL
方案2：命令行调用
通过subprocess创建系统调用：import subprocess
subprocess.run(['python', 'generate.py', '--input', 'text.txt'])
方案3：Docker容器化
创建包含所有依赖的Docker镜像，其他环境通过Volume挂载输入输出：docker build -t spark-tts .
docker run -v /host/input:/input spark-tts
This answer comes from the articleSpark-TTS: A Text-to-Speech Tool for Generating Natural SpeechThe
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