Grok Text-to-Speech API

 1# pip install "segmind>=1.1.0"
 2# export SEGMIND_API_KEY="YOUR_API_KEY"
 3import segmind
 4
 5# Async (v2): submit to the queue and block until COMPLETED.
 6# run() returns the final result dict (600s deadline, 1.0s poll by default).
 7result = segmind.run(
 8    "grok-tts",
 9    text="Welcome to Segmind! With Grok text-to-speech, you can turn any script into natural, expressive narration in just seconds.",
10    voice_id="eve",
11    language="en",
12    codec="mp3",
13    speed=1,
14)
15print(result["status"])                      # COMPLETED
16print(result.get("output"))                  # model output (e.g. media URL)
17print(result["metrics"]["inference_time"])   # server compute seconds
18
19# --- Or submit + poll manually (track request_id, control the cadence) ---
20from segmind import SegmindClient, InferenceFailed, InferenceTimeout
21
22client = SegmindClient()                      # reads SEGMIND_API_KEY
23payload = {
24    "text": "Welcome to Segmind! With Grok text-to-speech, you can turn any script into natural, expressive narration in just seconds.",
25    "voice_id": "eve",
26    "language": "en",
27    "codec": "mp3",
28    "speed": 1,
29}
30job = client.submit_async("grok-tts", **payload)
31print(job.request_id)                         # available immediately
32try:
33    result = job.wait(timeout=600, interval=1.0)
34except InferenceTimeout as e:
35    print("still running:", e.request_id)
36except InferenceFailed as e:
37    print("failed:", e.detail)