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Update transcribe_demo.py #13

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36 changes: 24 additions & 12 deletions transcribe_demo.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4,8 +4,6 @@
import io
import os
import speech_recognition as sr
import whisper
import torch

from datetime import datetime, timedelta
from queue import Queue
Expand All @@ -20,6 +18,8 @@ def main():
choices=["tiny", "base", "small", "medium", "large"])
parser.add_argument("--non_english", action='store_true',
help="Don't use the english model.")
parser.add_argument("--use_openai_api", action='store_true',
help="Using OPENAI_API_KEY enviromental variable")
parser.add_argument("--energy_threshold", default=1000,
help="Energy level for mic to detect.", type=int)
parser.add_argument("--record_timeout", default=2,
Expand Down Expand Up @@ -62,16 +62,24 @@ def main():
else:
source = sr.Microphone(sample_rate=16000)

# Load / Download model
model = args.model
if args.model != "large" and not args.non_english:
model = model + ".en"
audio_model = whisper.load_model(model)
if args.use_openai_api:
import openai
# Load your API key from an environment variable or secret management service
openai.api_key = os.getenv('OPENAI_API_KEY')
else:

import whisper
import torch
# Load / Download model
model = args.model
if args.model != "large" and not args.non_english:
model = model + ".en"
audio_model = whisper.load_model(model)

record_timeout = args.record_timeout
phrase_timeout = args.phrase_timeout

temp_file = NamedTemporaryFile().name
temp_file = NamedTemporaryFile(suffix='.wav').name
transcription = ['']

with source:
Expand Down Expand Up @@ -120,8 +128,12 @@ def record_callback(_, audio:sr.AudioData) -> None:
with open(temp_file, 'w+b') as f:
f.write(wav_data.read())

# Read the transcription.
result = audio_model.transcribe(temp_file, fp16=torch.cuda.is_available())
if args.use_openai_api:
with open(temp_file, 'rb') as f:
result = openai.Audio.transcribe("whisper-1", f)
else:
# Read the transcription.
result = audio_model.transcribe(temp_file, fp16=torch.cuda.is_available())
text = result['text'].strip()

# If we detected a pause between recordings, add a new item to our transcripion.
Expand All @@ -132,7 +144,7 @@ def record_callback(_, audio:sr.AudioData) -> None:
transcription[-1] = text

# Clear the console to reprint the updated transcription.
os.system('cls' if os.name=='nt' else 'clear')
os.system('cls' if os.name == 'nt' else 'clear')
for line in transcription:
print(line)
# Flush stdout.
Expand All @@ -149,4 +161,4 @@ def record_callback(_, audio:sr.AudioData) -> None:


if __name__ == "__main__":
main()
main()