Gemini Omni 1.2 Flash Text to Video 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": "Flat 2D vector motion-graphics infographic, locked-off camera, deep teal background, bold white sans-serif type. First a title bar slides in from the left reading 'CITY RAINFALL'. Then three rounded blue bars grow upward one after another, each labelled beneath it 'JAN', then 'MAY', then 'SEP'. Finally a yellow tag pops in at the top reading 'MM PER MONTH'. The background grid and the title bar stay still; only the bars and the tag animate. No people, no photorealism. Sound: a soft paper whoosh as the title slides in, a short rising marimba note as each bar grows, a light chime when the tag appears. Every word spelled exactly as given, no other text.",
11    "duration": 6,
12    "resolution": "720p",
13    "aspect_ratio": "16:9",
14}
15job = client.submit_async("gemini-omni-1.2-flash-text-to-video", **payload)
16print(job.request_id)                         # available immediately
17try:
18    result = job.wait(timeout=900, interval=2.0)
19    print(result["status"])                  # COMPLETED
20    print(result.get("output"))              # model output (e.g. video URL)
21except InferenceTimeout as e:
22    print("still running:", e.request_id)    # re-poll later with this id
23except InferenceFailed as e:
24    print("failed:", e.detail)
25
26# Fast models (<=600s) can use the one-liner instead:
27# result = segmind.run("gemini-omni-1.2-flash-text-to-video", **payload)