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# Copyright Jiaqi Liu | ||
# | ||
# Licensed under the Apache License, Version 2.0 (the "License"); | ||
# you may not use this file except in compliance with the License. | ||
# You may obtain a copy of the License at | ||
# | ||
# http://www.apache.org/licenses/LICENSE-2.0 | ||
# | ||
# Unless required by applicable law or agreed to in writing, software | ||
# distributed under the License is distributed on an "AS IS" BASIS, | ||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
# See the License for the specific language governing permissions and | ||
# limitations under the License. | ||
--- | ||
name: CI/CD | ||
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on: | ||
pull_request: | ||
push: | ||
branches: [master] | ||
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jobs: | ||
sync-to-huggingface-space: | ||
runs-on: ubuntu-latest | ||
steps: | ||
- uses: actions/checkout@v3 | ||
with: | ||
fetch-depth: 0 | ||
lfs: true | ||
- name: Push to hub | ||
run: git push https://QubitPi:$HF_TOKEN@huggingface.co/spaces/QubitPi/tiger master:main -f | ||
env: | ||
HF_TOKEN: ${{ secrets.HF_TOKEN }} |
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.venv | ||
.idea/ | ||
.DS_Store | ||
__pycache__ |
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[theme] | ||
primaryColor="#F63366" | ||
backgroundColor="#FFFFFF" | ||
secondaryBackgroundColor="#F0F2F6" | ||
textColor="#262730" | ||
font="sans serif" | ||
[server] | ||
maxUploadSize=1028 |
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--- | ||
title: Tiger | ||
emoji: 🎥 | ||
colorFrom: blue | ||
colorTo: indigo | ||
sdk: streamlit | ||
sdk_version: 1.39.0 | ||
app_file: app.py | ||
pinned: false | ||
license: apache-2.0 | ||
short_description: Movie transcription for language learners | ||
--- | ||
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[![Hugging Face space badge]][Hugging Face space URL] | ||
[![Hugging Face sync status badge]][Hugging Face sync status URL] | ||
[![Apache License Badge]][Apache License, Version 2.0] | ||
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Tiger | ||
===== | ||
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__Tiger__ is an automatic speech recognition application that takes a video file as input to generate a video with | ||
subtitles as well as downloadable .txt, .vtt, .srt transcription files. Tiger generates transcriptions using the | ||
[OpenAI Whisper](https://openai.com/blog/whisper) model. | ||
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The app is available on [Hugging Face space][Project Tiger on Hugging Face]. Please have a try. | ||
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How Project Tiger Started | ||
------------------------- | ||
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I don't believe NLP is inherently AI. [Project Tiger](), however, enlightened me on what way should AI makes NLP more | ||
powerful for people. | ||
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Paraphrasing movie lines has been my favorite approach to learn a foreign language. This was why I was able to speak | ||
close-native English in early days. I used this same tactic for German today as well. | ||
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One morning I was studying German with the famous German WW2 movie | ||
[_Generation War_](https://youtu.be/TmyGPX23px4?si=wk3V62vLUe9zFzfo). Managing to find its subtitles[^1][^2][^3] were | ||
easy for me. A problem, however, soon arose as I proceeded with them: _the subtitles had errors - missing couple of | ||
phrases every few other lines_. This was a big NO for language learners like me. In old days 10 years ago, I would've | ||
reached a dead end... | ||
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[^1]: https://www.opensubtitles.org/en/subtitles/6243166/generation-war-eine-andere-zeit-de | ||
[^2]: https://www.opensubtitles.org/en/subtitles/6243167/generation-war-ein-anderer-krieg-de | ||
[^3]: https://www.opensubtitles.org/en/subtitles/6243168/generation-war-ein-anderes-land-de | ||
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Almost immediately, however, I had this idea of having AI figure out those missing words for me; so tried | ||
[OpenAI's Whisper](https://huggingface.co/spaces/openai/whisper) which, quite surprisingly, yield 100% accurate results. | ||
That was the first occasion where AI produced significant solid values for me as a language learner. | ||
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Feeling so excited, I decided to industrialize this process and hereby present it as | ||
[Project Tiger on Hugging Face], an __AI movie transcription service that targets specifically for language learners__ | ||
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> [!NOTE] | ||
> | ||
> On name "__Tiger__" | ||
> | ||
> The project name _tiger_ was taken from the _German heavy tank of World War II - | ||
> [Tiger I](https://en.wikipedia.org/wiki/Tiger_I)_. | ||
> | ||
> I chose this name because the project idea was spawned from the study of German language. More importantly, _Tiger I_ | ||
> has been widely recognized as a revolutionary tank being a crown jewels in the history of warfare technology: | ||
> | ||
> > _"It is tempting to view the appearance of the Tiger tank as revolutionary, ... the end result was a machine that | ||
> > represented a quantum leap forward in tank design and changed everything - forever"_[^4] | ||
> | ||
> As _Tiger_ had steered the direction of next-generation heavy tank, this project has also revolutionized my view | ||
> toward AI subconsciously and serves as an empirical guide on how I should make NLP more powerful for people with AI. | ||
[^4]: _[Tiger tank : Panzerkampfwagen VI Tiger I Ausf. E (SdKfz 181): owner's workshop manual](https://a.co/d/28OzPsK)_, The Tank Museum, 2011. p.13 | ||
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[Apache License Badge]: https://img.shields.io/badge/Apache%202.0-F25910.svg?style=for-the-badge&logo=Apache&logoColor=white | ||
[Apache License, Version 2.0]: https://www.apache.org/licenses/LICENSE-2.0 | ||
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[Hugging Face space badge]: https://img.shields.io/badge/Hugging%20Face%20Space-tiger-FFD21E?style=for-the-badge&logo=huggingface&logoColor=white | ||
[Hugging Face space URL]: https://huggingface.co/spaces/QubitPi/tiger | ||
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[Hugging Face sync status badge]: https://img.shields.io/github/actions/workflow/status/QubitPi/tiger/ci-cd.yaml?branch=master&style=for-the-badge&logo=github&logoColor=white&label=Hugging%20Face%20Sync%20Up | ||
[Hugging Face sync status URL]: https://github.com/QubitPi/tiger/actions/workflows/ci-cd.yaml | ||
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[Project Tiger on Hugging Face]: https://huggingface.co/spaces/QubitPi/tiger |
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