import base64
import os
import requests
async def generate_elevenlabs_audio(
text: str, voice_id: str = None, model: str = None, language: str = "en"
) -> dict:
"""Generate audio from text using ElevenLabs HTTP API directly and return base64 encoded audio data."""
# Get ElevenLabs API key from environment variable
api_key = os.getenv("ELEVENLABS_API_KEY")
if not api_key:
return {
"error": "ElevenLabs API key not found. Please set ELEVENLABS_API_KEY environment variable.",
"success": False,
"setup_instructions": "Run: export ELEVENLABS_API_KEY='your-api-key-here'",
}
if voice_id is None:
voice_id = os.getenv(
"ELEVENLABS_VOICE_ID", "aEO01A4wXwd1O8GPgGlF"
) # Default Arabella (English). For Spanish, use: hEKEQC93QpOYMa6WuwWp
# Smart model selection based on language
if model is None:
model = "eleven_multilingual_v2"
try:
url = f"https://api.elevenlabs.io/v1/text-to-speech/{voice_id}"
headers = {
"Accept": "audio/mpeg",
"Content-Type": "application/json",
"xi-api-key": api_key,
}
data = {
"text": text,
"model_id": model,
"voice_settings": {"stability": 0.5, "similarity_boost": 0.5},
}
response = requests.post(url, json=data, headers=headers)
if response.status_code != 200:
return {
"error": f"ElevenLabs API error: {response.status_code} - {response.text}",
"success": False,
}
audio_bytes = response.content
if not audio_bytes:
return {
"error": "No audio data received from ElevenLabs API",
"success": False,
}
audio_base64 = base64.b64encode(audio_bytes).decode("utf-8")
return {
"success": True,
"audio_base64": audio_base64,
"format": "mp3",
"voice_id": voice_id,
"model": model,
"text": text,
"provider": "elevenlabs",
}
except Exception as e:
return {
"error": f"Failed to generate ElevenLabs audio: {str(e)}",
"success": False,
}
