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YT_SRT_2 / app.py

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prompt="Transcribe the following audio file. if chinese, please using 'language: zh-TW' in the prompt.",
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language="zh-TW"
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prompt="Transcribe the following audio file. if chinese, please using 'language: zh-TW' in the prompt."
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transcription = json.dumps(transformed_data, indent=2, ensure_ascii=False)
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segments = srt_content.segments
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segments = srt_content.segments
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transcription = json.dumps(segments, indent=2)
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segments = srt_content["segments"]
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segments
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response_format="verbose_json",
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response_format="json"
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codec_name = "mp3"
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ydl.download([youtube_url])
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'preferredcodec': 'opus',
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def download_youtube_audio(youtube_url):
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codec_name = "webm"
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response_format="vtt"
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nonsilent_ranges = detect_nonsilent(audio, min_silence_len=50, silence_thresh=-40)
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def transcribe_audio_by_whisper(audio_path):
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import random
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def process_youtube_video(password, url, method):
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def download_youtube_audio(youtube_url):
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# from transformers import pipeline
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# from transformers import pipeline
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print("processing_time:", processing_time)
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def transcribe_audio_by_whisper(audio_path):
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processing_time
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transcribe_audio_by_transformers_pipeline
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print(f"Chunk {i+1}/{len(chunks)} transcribed")
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Textbox
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gradio
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