import os
import requests
from dotenv import load_dotenv
import argparse
import re
load_dotenv()
api_key = os.environ.get("ELEVENLABS_API_KEY")
if not api_key:
raise ValueError("ELEVENLABS_API_KEY 環境變量未設置。")
parser = argparse.ArgumentParser()
parser.add_argument("--file", type=str, help="要轉換為語音的 Markdown 文件", required=False)
parser.add_argument("--text", type=str, help="要轉換為語音的文本", required=False)
parser.add_argument("--output", type=str, help="輸出文件名", required=True)
parser.add_argument("--voice_id", type=str, default="21m00Tcm4TlvDq8iK2G8", help="要使用的聲音 ID")
args = parser.parse_args()
if args.file:
try:
with open(args.file, 'r') as f:
content = f.read()
# 移除前置信息
content = re.sub(r'---.*?---', '', content, flags=re.DOTALL)
text = content.strip()
except FileNotFoundError:
print(f"錯誤：文件未找到：{args.file}")
exit(1)
except Exception as e:
print(f"讀取文件時出錯：{e}")
exit(1)
elif args.text:
text = args.text
else:
print("錯誤：必須指定 --file 或 --text。")
exit(1)
url = f"https://api.elevenlabs.io/v1/text-to-speech/{args.voice_id}"
headers = {
"Accept": "audio/mpeg",
"Content-Type": "application/json",
"xi-api-key": api_key
}
data = {
"text": text,
"model_id": "eleven_flash_v2_5",
"voice_settings": {
"stability": 0.5,
"similarity_boost": 0.5
}
}
response = requests.post(url, json=data, headers=headers)
if response.status_code == 200:
with open(args.output, 'wb') as f:
f.write(response.content)
print(f"音頻已保存到 {args.output}")
else:
print(f"錯誤：{response.status_code} - {response.text}")