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# Run this in the consol first :
# pip install sounddevice numpy scipy pydub keyboard
# Don't forget to install whisper
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)
## make log-Mel spectrogram and move to the same device as the model
# mel = whisper.log_mel_spectrogram(audio).to(model.device)
## decode the audio
# result = whisper.decode(model, mel, options)
result = model.transcribe(audio, language="en")
text = result["text"]
print(text, flush=True)
send_output("text", pa.array([text]), dora_event["metadata"])
return DoraStatus.CONTINUE
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