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# Run this in the consol first :
# pip install sounddevice numpy
# Don't forget to install whisper
import time
import numpy as np
import pyarrow as pa
import sounddevice as sd
from dora import DoraStatus
# Set the parameters for recording
SAMPLE_RATE = 16000
MAX_DURATION = 1
class Operator:
"""
Infering object from images
"""
def on_event(
self,
dora_event,
send_output,
) -> DoraStatus:
if dora_event["type"] == "INPUT":
audio_data = sd.rec(
int(SAMPLE_RATE * MAX_DURATION),
samplerate=SAMPLE_RATE,
channels=1,
dtype=np.int16,
blocking=False,
)
time.sleep(MAX_DURATION)
audio_data = audio_data.ravel().astype(np.float32) / 32768.0
if len(audio_data) > 0:
send_output("audio", pa.array(audio_data), dora_event["metadata"])
return DoraStatus.CONTINUE
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