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Metadata-Version: 2.1 | ||
Name: youscribe | ||
Version: 0.0.2 | ||
Summary: Library to transcribe YouTube videos using Whisper model | ||
Author: Digital Observatory | ||
Author-email: [email protected] | ||
Classifier: Development Status :: 4 - Beta | ||
Classifier: Programming Language :: Python :: 3.10 | ||
Classifier: Programming Language :: Python :: 3.11 | ||
Requires-Python: >=3.10 | ||
Description-Content-Type: text/markdown | ||
Requires-Dist: faster-whisper>=0.10.0 | ||
Requires-Dist: beautifulsoup4>=4.12.2 | ||
Requires-Dist: requests>=2.31.0 | ||
Requires-Dist: yt-dlp>=2024.03.10 | ||
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# Transcribe YouTube videos using Whisper models | ||
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||
Adopts [faster_whisperer](https://github.com/SYSTRAN/faster-whisper), a cTransformer's based model for faster transcription. | ||
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## Usage | ||
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```python | ||
from youtescribe import transcribe | ||
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transcript = transcribe(url="https://www.youtube.com/watch?v=9bZkp7q19f0") | ||
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transcript.text() | ||
``` | ||
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### Prompting | ||
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By default, the video title and description are used as prompts to the transcription model. But you can also specify your own prompt: | ||
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```python | ||
transcript = transcribe( | ||
url="https://www.youtube.com/watch?v=9bZkp7q19f0", | ||
prompt="Enter prompt here" | ||
) | ||
``` | ||
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You can also choose not to include prompt by setting `prompt=False`. | ||
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```python | ||
transcript = transcribe( | ||
url="https://www.youtube.com/watch?v=9bZkp7q19f0", | ||
prompt=False | ||
) | ||
``` | ||
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### Working with `WhisperTranscript` objects | ||
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The `transcribe()` function, if executed successfully, will return a `WhisperTranscript` object. You can view the transcript as plain text, SRT-formatted text, or a Python dictionary. | ||
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```python | ||
transcript = transcribe( | ||
url="https://www.youtube.com/watch?v=9bZkp7q19f0", | ||
prompt=False | ||
) | ||
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transcript.text() | ||
transcript.srt() | ||
transcript.json() | ||
transcript.segment | ||
``` | ||
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### Customise Whisper model | ||
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In the transcribe function, you can pass your own custom Whisper model: | ||
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```python | ||
from youtescribe import WhisperTranscriber | ||
from youtescribe import models | ||
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custom_transcriber = WhisperTranscriber(model_size = models.TINY_EN, cpu_threads=6, device="auto") | ||
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transcript = transcribe( | ||
url="https://www.youtube.com/watch?v=9bZkp7q19f0", | ||
transcriber=custom_transcriber | ||
) | ||
transcript.text() | ||
``` | ||
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|
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.gitignore | ||
README.md | ||
pyproject.toml | ||
setup.cfg | ||
setup.py | ||
test_youscribe.py | ||
src/youscribe/__init__.py | ||
src/youscribe/_version.py | ||
src/youscribe/main.py | ||
src/youscribe/models.py | ||
src/youscribe/scraper.py | ||
src/youscribe/transcriber.py | ||
src/youscribe/transcript.py | ||
src/youscribe.egg-info/PKG-INFO | ||
src/youscribe.egg-info/SOURCES.txt | ||
src/youscribe.egg-info/dependency_links.txt | ||
src/youscribe.egg-info/requires.txt | ||
src/youscribe.egg-info/top_level.txt |
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faster-whisper>=0.10.0 | ||
beautifulsoup4>=4.12.2 | ||
requests>=2.31.0 | ||
yt-dlp>=2024.03.10 |
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