curl --request POST \
  --url https://api.vachana.ai/api/v1/tts/voice-clone/embeddings \
  --header 'Content-Type: multipart/form-data' \
  --header 'X-API-Key-ID: <api-key>' \
  --form audio_file='@example-file'

import requests

url = "https://api.vachana.ai/api/v1/tts/voice-clone/embeddings"

files = { "audio_file": ("example-file", open("example-file", "rb")) }
headers = {"X-API-Key-ID": "<api-key>"}

response = requests.post(url, files=files, headers=headers)

print(response.text)

const form = new FormData();
form.append('audio_file', '<string>');

const options = {method: 'POST', headers: {'X-API-Key-ID': '<api-key>'}};

options.body = form;

fetch('https://api.vachana.ai/api/v1/tts/voice-clone/embeddings', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

{
  "success": true,
  "message": "Voice embeddings generated successfully",
  "data": {
    "voice_clone_embedding": {
      "embedding": "<string>",
      "shape": [
        1,
        768
      ],
      "dtype": "torch.bfloat16"
    }
  }
}