Gemini Omni Flash Serverless API

 1# pip install "segmind>=1.1.0"
 2# export SEGMIND_API_KEY="YOUR_API_KEY"
 3from segmind import SegmindClient, InferenceFailed, InferenceTimeout
 4
 5# Async (v2) — recommended for long-running / video models.
 6# run() blocks up to 600s; submit_async + job.wait(timeout=...) sets a longer
 7# deadline and keeps the request_id so you can re-poll later.
 8client = SegmindClient()                      # reads SEGMIND_API_KEY
 9payload = {
10    "prompt": "Cinematic slow-motion shot of powerful ocean waves crashing against dramatic coastal cliffs at golden hour, sea spray catching warm sunlight, seabirds gliding in the distance, smooth aerial drone camera movement, photorealistic, highly detailed, 4k.",
11    "duration": 5,
12    "aspect_ratio": "16:9",
13    "seed": -1,
14    "image_urls": [],
15}
16job = client.submit_async("gemini-omni-flash", **payload)
17print(job.request_id)                         # available immediately
18try:
19    result = job.wait(timeout=900, interval=2.0)
20    print(result["status"])                  # COMPLETED
21    print(result.get("output"))              # model output (e.g. video URL)
22except InferenceTimeout as e:
23    print("still running:", e.request_id)    # re-poll later with this id
24except InferenceFailed as e:
25    print("failed:", e.detail)
26
27# Fast models (<=600s) can use the one-liner instead:
28# result = segmind.run("gemini-omni-flash", **payload)