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flake8 / pylint updates
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@@ -19,15 +19,15 @@ import yt_dlp as youtube_dl
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from whisper_jax import FlaxWhisperPipline
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from ...utils.file_utils import download_files, upload_files
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from ...utils.log_utils import logger
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from ...utils.run_utils import config
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from ...utils.log_utils import LOGGER
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from ...utils.run_utils import CONFIG
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from ...utils.text_utils import post_process_transcription, summarize
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from ...utils.viz_utils import create_talk_diff_scatter_viz, create_wordcloud
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nltk.download('punkt', quiet=True)
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nltk.download('stopwords', quiet=True)
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WHISPER_MODEL_SIZE = config['WHISPER']["WHISPER_MODEL_SIZE"]
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WHISPER_MODEL_SIZE = CONFIG['WHISPER']["WHISPER_MODEL_SIZE"]
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NOW = datetime.now()
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if not os.path.exists('../../artefacts'):
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@@ -75,7 +75,7 @@ def main():
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# Download the lowest resolution YouTube video
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# (since we're just interested in the audio).
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# It will be saved to the current directory.
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logger.info("Downloading YouTube video at url: " + args.location)
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LOGGER.info("Downloading YouTube video at url: " + args.location)
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# Create options for the download
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ydl_opts = {
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@@ -93,12 +93,12 @@ def main():
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ydl.download([args.location])
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media_file = "../artefacts/audio.mp3"
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logger.info("Saved downloaded YouTube video to: " + media_file)
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LOGGER.info("Saved downloaded YouTube video to: " + media_file)
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else:
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# XXX - Download file using urllib, check if file is
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# audio/video using python-magic
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logger.info(f"Downloading file at url: {args.location}")
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logger.info(" XXX - This method hasn't been implemented yet.")
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LOGGER.info(f"Downloading file at url: {args.location}")
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LOGGER.info(" XXX - This method hasn't been implemented yet.")
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elif url.scheme == '':
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media_file = url.path
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# If file is not present locally, take it from S3 bucket
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@@ -119,7 +119,7 @@ def main():
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audio_filename = tempfile.NamedTemporaryFile(suffix=".mp3",
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delete=False).name
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video.audio.write_audiofile(audio_filename, logger=None)
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logger.info(f"Extracting audio to: {audio_filename}")
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LOGGER.info(f"Extracting audio to: {audio_filename}")
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# Handle audio only file
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except Exception:
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audio = moviepy.editor.AudioFileClip(media_file)
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@@ -129,14 +129,14 @@ def main():
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else:
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audio_filename = media_file
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logger.info("Finished extracting audio")
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logger.info("Transcribing")
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LOGGER.info("Finished extracting audio")
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LOGGER.info("Transcribing")
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# Convert the audio to text using the OpenAI Whisper model
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pipeline = FlaxWhisperPipline("openai/whisper-" + WHISPER_MODEL_SIZE,
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dtype=jnp.float16,
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batch_size=16)
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whisper_result = pipeline(audio_filename, return_timestamps=True)
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logger.info("Finished transcribing file")
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LOGGER.info("Finished transcribing file")
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whisper_result = post_process_transcription(whisper_result)
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@@ -153,10 +153,10 @@ def main():
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"w") as transcript_file_timestamps:
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transcript_file_timestamps.write(str(whisper_result))
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logger.info("Creating word cloud")
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LOGGER.info("Creating word cloud")
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create_wordcloud(NOW)
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logger.info("Performing talk-diff and talk-diff visualization")
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LOGGER.info("Performing talk-diff and talk-diff visualization")
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create_talk_diff_scatter_viz(NOW)
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# S3 : Push artefacts to S3 bucket
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@@ -172,7 +172,7 @@ def main():
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summarize(transcript_text, NOW, False, False)
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logger.info("Summarization completed")
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LOGGER.info("Summarization completed")
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# Summarization takes a lot of time, so do this separately at the end
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files_to_upload = [prefix + "summary_" + suffix + ".txt"]
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