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adds captions library and example #184
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# Copyright 2023 Deepgram SDK contributors. All Rights Reserved. | ||
# Use of this source code is governed by a MIT license that can be found in the LICENSE file. | ||
# SPDX-License-Identifier: MIT | ||
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import asyncio | ||
import os | ||
import json | ||
from dotenv import load_dotenv | ||
from deepgram_captions import DeepgramConverter, webvtt, srt | ||
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from deepgram import DeepgramClient, PrerecordedOptions | ||
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load_dotenv() | ||
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API_KEY = os.getenv('DG_API_KEY') | ||
AUDIO_URL = { | ||
"url": "https://static.deepgram.com/examples/Bueller-Life-moves-pretty-fast.wav"} | ||
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options: PrerecordedOptions = { | ||
"model": "nova", | ||
"smart_format": "true", | ||
"summarize": "v2", | ||
} | ||
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deepgram = DeepgramClient(API_KEY) | ||
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async def transcribe_url(): | ||
url_response = await deepgram.listen.prerecorded.transcribe_url(AUDIO_URL, options) | ||
return url_response | ||
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async def main(): | ||
try: | ||
# STEP 1: Transcribe audio using Deepgram | ||
response = await transcribe_url() | ||
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# STEP 2: Convert Deepgram response to captions using deepgram_captions library | ||
transcription = DeepgramConverter(json.loads(response)) | ||
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# STEP 3: Generate captions in WebVTT format | ||
captions_webvtt = webvtt(transcription) | ||
print("WebVTT Captions:") | ||
print(captions_webvtt) | ||
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# STEP 4: Generate captions in SRT format | ||
captions_srt = srt(transcription) | ||
print("\nSRT Captions:") | ||
print(captions_srt) | ||
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except Exception as e: | ||
print(f"Exception: {e}") | ||
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if __name__ == "__main__": | ||
asyncio.run(main()) |
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Wouldn't this go in the captions repo under its own examples folder?