volcengine tts (#372)

Co-authored-by: XHPlus <xhplus@163.com>

lightx2v/deploy/common/volcengine_tts.py

+# -*- coding: utf-8 -*-
+
+import asyncio
+import base64
+import json
+import os
+import sys
+
+import aiohttp
+from loguru import logger
+
+
+class VolcEngineTTSClient:
+    """
+    VolcEngine TTS客户端
+
+    参数范围说明:
+        - speed_rate: -50~100 (100代表2倍速, -50代表0.5倍速, 0为正常语速)
+        - loudness_rate: -50~100 (100代表2倍音量, -50代表0.5倍音量, 0为正常音量)
+        - emotion_scale: 1-5
+    """
+
+    def __init__(self, voices_list_file=None):
+        self.url = "https://openspeech.bytedance.com/api/v3/tts/unidirectional"
+        self.appid = os.getenv("VOLCENGINE_APPID")
+        self.access_token = os.getenv("VOLCENGINE_ACCESS_TOKEN")
+        self.proxy = os.getenv("HTTPS_PROXY", None)
+        if self.proxy:
+            logger.info(f"volcengine tts use proxy: {self.proxy}")
+        if voices_list_file is not None:
+            with open(voices_list_file, "r", encoding="utf-8") as f:
+                self.voices_list = json.load(f)
+        else:
+            self.voices_list = None
+
+    def get_voice_list(self):
+        return self.voices_list
+
+    async def tts_http_stream(self, headers, params, audio_save_path):
+        """执行TTS流式请求"""
+        try:
+            logger.info(f"volcengine tts params: {params}")
+            audio_data = bytearray()
+            total_audio_size = 0
+
+            async with aiohttp.ClientSession() as session:
+                async with session.post(self.url, json=params, headers=headers, proxy=self.proxy) as response:
+                    response.raise_for_status()
+                    async for chunk in response.content:
+                        if not chunk:
+                            continue
+                        try:
+                            data = json.loads(chunk.decode("utf-8").strip())
+                            if data.get("code", 0) == 0 and "data" in data and data["data"]:
+                                chunk_audio = base64.b64decode(data["data"])
+                                audio_size = len(chunk_audio)
+                                total_audio_size += audio_size
+                                audio_data.extend(chunk_audio)
+                                continue
+                            if data.get("code", 0) == 0 and "sentence" in data and data["sentence"]:
+                                continue
+                            if data.get("code", 0) == 20000000:
+                                break
+                            if data.get("code", 0) > 0:
+                                logger.warning(f"volcengine tts error response: {data}")
+                                break
+                        except Exception as e:
+                            logger.warning(f"Failed to parse volcengine tts chunk: {e}")
+
+            # save audio file
+            if audio_data:
+                with open(audio_save_path, "wb") as f:
+                    f.write(audio_data)
+                logger.info(f"audio saved to {audio_save_path}, audio size: {len(audio_data) / 1024:.2f} KB")
+                # set correct permissions
+                os.chmod(audio_save_path, 0o644)
+                return True
+            else:
+                logger.warning("No tts audio data received")
+                return False
+
+        except Exception as e:
+            logger.warning(f"VolcEngineTTSClient tts request failed: {e}")
+            return False
+
+    async def tts_request(
+        self,
+        text,
+        voice_type,
+        context_texts="",
+        emotion="",
+        emotion_scale=4,
+        speed_rate=0,
+        loudness_rate=0,
+        output="tts_output.mp3",
+        resource_id="seed-tts-2.0",
+        app_key="aGjiRDfUWi",
+        uid="123123",
+        format="mp3",
+        sample_rate=24000,
+        enable_timestamp=True,
+    ):
+        """
+        执行TTS请求
+
+        Args:
+            text: 要转换的文本
+            voice_type: 声音类型
+            emotion: 情感类型
+            emotion_scale: 情感强度 (1-5)
+            speed_rate: 语速调节 (-50~100, 100代表2倍速, -50代表0.5倍速, 0为正常语速)
+            loudness_rate: 音量调节 (-50~100, 100代表2倍音量, -50代表0.5倍音量, 0为正常音量)
+            output: 输出文件路径
+            resource_id: 资源ID
+            app_key: 应用密钥
+            uid: 用户ID
+            format: 音频格式
+            sample_rate: 采样率
+            enable_timestamp: 是否启用时间戳
+        """
+        # 验证参数范围
+        if not (-50 <= speed_rate <= 100):
+            logger.warning(f"speed_rate {speed_rate} 超出有效范围 [-50, 100]，将使用默认值 0")
+            speed_rate = 0
+
+        if not (-50 <= loudness_rate <= 100):
+            logger.warning(f"loudness_rate {loudness_rate} 超出有效范围 [-50, 100]，将使用默认值 0")
+            loudness_rate = 0
+
+        if not (1 <= emotion_scale <= 5):
+            logger.warning(f"emotion_scale {emotion_scale} 超出有效范围 [1, 5]，将使用默认值 3")
+            emotion_scale = 3
+
+        headers = {
+            "X-Api-App-Id": self.appid,
+            "X-Api-Access-Key": self.access_token,
+            "X-Api-Resource-Id": resource_id,
+            "X-Api-App-Key": app_key,
+            "Content-Type": "application/json",
+            "Connection": "keep-alive",
+        }
+        additions = json.dumps({"explicit_language": "zh", "disable_markdown_filter": True, "enable_timestamp": True, "context_texts": [context_texts] if context_texts else None})
+        payload = {
+            "user": {"uid": uid},
+            "req_params": {
+                "text": text,
+                "speaker": voice_type,
+                "audio_params": {
+                    "format": format,
+                    "sample_rate": sample_rate,
+                    "enable_timestamp": enable_timestamp,
+                    "emotion": emotion,
+                    "emotion_scale": emotion_scale,
+                    "speed_rate": speed_rate,
+                    "loudness_rate": loudness_rate,
+                },
+                "additions": additions,
+            },
+        }
+        success = await self.tts_http_stream(headers=headers, params=payload, audio_save_path=output)
+        if success:
+            logger.info(f"VolcEngineTTSClient tts request for '{text}': success")
+        else:
+            logger.warning(f"VolcEngineTTSClient tts request for '{text}': failed")
+        return success
+
+
+async def test(args):
+    """
+    TTS测试函数
+
+    Args:
+        args: list, e.g. [text, voice_type, emotion, emotion_scale, speed_rate, loudness_rate, output, resource_id, app_key, uid, format, sample_rate, enable_timestamp]
+              Provide as many as needed, from left to right.
+
+    Parameter ranges:
+        - speed_rate: -50~100 (100代表2倍速, -50代表0.5倍速, 0为正常语速)
+        - loudness_rate: -50~100 (100代表2倍音量, -50代表0.5倍音量, 0为正常音量)
+        - emotion_scale: 1-5
+    """
+    client = VolcEngineTTSClient()
+    # 设置默认参数
+    params = {
+        "text": "",
+        "voice_type": "",
+        "context_texts": "",
+        "emotion": "",
+        "emotion_scale": 4,
+        "speed_rate": 0,
+        "loudness_rate": 0,
+        "output": "tts_output.mp3",
+        "resource_id": "seed-tts-2.0",
+        "app_key": "aGjiRDfUWi",
+        "uid": "123123",
+        "format": "mp3",
+        "sample_rate": 24000,
+        "enable_timestamp": True,
+    }
+    keys = list(params.keys())
+    # 覆盖默认参数
+    for i, arg in enumerate(args):
+        # 类型转换
+        if keys[i] == "sample_rate":
+            params[keys[i]] = int(arg)
+        elif keys[i] == "enable_timestamp":
+            # 支持多种布尔输入
+            params[keys[i]] = str(arg).lower() in ("1", "true", "yes", "on")
+        else:
+            params[keys[i]] = arg
+
+    await client.tts_request(
+        params["text"],
+        params["voice_type"],
+        params["context_texts"],
+        params["emotion"],
+        params["emotion_scale"],
+        params["speed_rate"],
+        params["loudness_rate"],
+        params["output"],
+        params["resource_id"],
+        params["app_key"],
+        params["uid"],
+        params["format"],
+        params["sample_rate"],
+        params["enable_timestamp"],
+    )
+
+
+if __name__ == "__main__":
+    asyncio.run(test(sys.argv[1:]))

lightx2v/deploy/server/frontend/package-lock.json

 {
-  "name": "my-project",
+  "name": "frontend",
   "version": "0.0.0",
   "lockfileVersion": 3,
   "requires": true,
   "packages": {
     "": {
-      "name": "my-project",
+      "name": "frontend",
       "version": "0.0.0",
       "dependencies": {
         "@flaticon/flaticon-uicons": "^3.3.1",

lightx2v/deploy/server/frontend/package.json

 {
-  "name": "my-project",
+  "name": "frontend",
   "private": true,
   "version": "0.0.0",
   "type": "module",

lightx2v/deploy/server/frontend/public/female.svg

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lightx2v/deploy/server/frontend/src/locales/zh.json

@@ -91,7 +91,7 @@
     "whatMaterialsDoYouNeed": "创作视频需要什么素材呢？",
     "pleaseEnterTheMostDetailedVideoScript": "请输入尽可能详细的视频脚本",
     "pleaseUploadAnImageAsTheFirstFrameOfTheVideoAndTheMostDetailedVideoScript": "请上传一张图片作为视频的首帧图，以及尽可能详细的视频脚本",
-    "pleaseUploadARoleImageAnAudioAndTheGeneralVideoRequirements": "请上传一张角色图片、一段音频、以及大致的视频要求",
+    "pleaseUploadARoleImageAnAudioAndTheGeneralVideoRequirements": "仅需要一张角色图片和一段音频",
     "collapseCreationArea": "收起创作区域",
     "startCreatingVideo": "开始创作视频···",
     "aiIsGeneratingYourVideo": "LightX2V 正在光速生成您的视频...",