| import pyarrow as pa | |
| import whisper | |
| from dora import DoraStatus | |
| model = whisper.load_model("base") | |
| class Operator: | |
| """ | |
| Transforming Speech to Text using OpenAI Whisper model | |
| """ | |
| def on_event( | |
| self, | |
| dora_event, | |
| send_output, | |
| ) -> DoraStatus: | |
| if dora_event["type"] == "INPUT": | |
| audio = dora_event["value"].to_numpy() | |
| audio = whisper.pad_or_trim(audio) | |
| result = model.transcribe(audio, language="en") | |
| send_output("text", pa.array([result["text"]]), dora_event["metadata"]) | |
| return DoraStatus.CONTINUE | |