File size: 789 Bytes
33a37fb | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | from typing import Dict, Any
import torch
# Import your specific VITS inference pipeline here
class EndpointHandler:
def __init__(self, path=""):
# 1. Load your VITS model weights from 'path'
# 2. Load your config.json parameters
self.device = "cuda" if torch.cuda.is_available() else "cpu"
def __call__(self, data: Dict[str, Any]) -> Dict[str, Any]:
"""
data: JSON payload sent to the API
"""
# 1. Get the text to synthesize
text = data.get("inputs", "")
# 2. Run your VITS text-to-speech generation logic here
# audio_data = self.model(text)
# 3. Return the audio (usually base64 encoded or raw bytes)
return {"audio": "base64_encoded_audio_string_here"}
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