Gemini Omni 1.2 Flash Extend 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    "video": "https://segmind-resources.s3.amazonaws.com/input/gemini-omni-1.2-flash-extend-source-ddbdeb47.mp4",
11    "prompt": "A dashed yellow trend line draws itself from left to right across the tops of the three bars and ends in a small arrowhead pointing up. Same flat 2D vector motion-graphics style, deep teal background, bold white sans-serif type, locked-off camera. The 'CITY RAINFALL' title, the three labelled bars and the 'MM PER MONTH' tag all stay exactly where they are. No people, no photorealism. Sound: a soft pen-stroke whoosh as the line draws, a light chime when the arrowhead lands. No new text.",
12    "duration": 5,
13}
14job = client.submit_async("gemini-omni-1.2-flash-extend", **payload)
15print(job.request_id)                         # available immediately
16try:
17    result = job.wait(timeout=900, interval=2.0)
18    print(result["status"])                  # COMPLETED
19    print(result.get("output"))              # model output (e.g. video URL)
20except InferenceTimeout as e:
21    print("still running:", e.request_id)    # re-poll later with this id
22except InferenceFailed as e:
23    print("failed:", e.detail)
24
25# Fast models (<=600s) can use the one-liner instead:
26# result = segmind.run("gemini-omni-1.2-flash-extend", **payload)