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#pip install git+https://github.com/huggingface/transformers.git | |
import datetime | |
import sys | |
from transformers import pipeline | |
from transformers.pipelines.audio_utils import ffmpeg_microphone_live | |
pipe = pipeline("automatic-speech-recognition", model="openai/whisper-base", device=0) | |
sampling_rate = pipe.feature_extractor.sampling_rate | |
start = datetime.datetime.now() | |
chunk_length_s = 5 | |
stream_chunk_s = 0.1 | |
mic = ffmpeg_microphone_live( | |
sampling_rate=sampling_rate, | |
chunk_length_s=chunk_length_s, | |
stream_chunk_s=stream_chunk_s, | |
) | |
print("Start talking...") | |
for item in pipe(mic): | |
sys.stdout.write("\033[K") | |
print(item["text"], end="\r") | |
if not item["partial"][0]: | |
print("") |
Author
abodacs
commented
Jul 12, 2023
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