drop-in replacement for Whisper

import OpenAI from "openai";
import { createReadStream } from "node:fs";

const openai = new OpenAI({
  apiKey: process.env.GEKO_API_KEY,                                    // sk-tokay-…
  baseURL: "https://geko--seta-serve-transcriber-api.modal.run/v1",    // ← the only change
});

const { text } = await openai.audio.transcriptions.create({
  file: createReadStream("call.wav"),
  model: "seta-kk-ru-v2",
});

from openai import OpenAI

client = OpenAI(
    api_key=os.environ["GEKO_API_KEY"],
    base_url="https://geko--seta-serve-transcriber-api.modal.run/v1",  # ← the only change
)

text = client.audio.transcriptions.create(
    file=open("call.wav", "rb"),
    model="seta-kk-ru-v2",
).text

curl -X POST "https://geko--seta-serve-transcriber-api.modal.run/v1/audio/transcriptions" \
  -H "Authorization: Bearer $GEKO_API_KEY" \
  -F file=@call.wav \
  -F model=seta-kk-ru-v2

{ "text": "сәлеметсіз бе бүгін ауа райы өте жақсы" }

сәлеметсіз бе бүгін ауа райы өте жақсы

{
  "task": "transcribe",
  "language": "kk-ru",
  "duration": 2.84,
  "text": "сәлеметсіз бе бүгін ауа райы өте жақсы",
  "segments": []
}