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Merge branch 'main' of https://huggingface.co/spaces/BatuhanYilmaz/Whisper-Auto-Subtitled-Video-Generator

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- ## Auto-Subtitled-Video-Generator
 
 
 
 
 
 
 
 
 
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- ![Python](https://img.shields.io/badge/Python-FFD43B?style=for-the-badge&logo=python&logoColor=blue)
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- ![Streamlit](https://img.shields.io/badge/Streamlit-FF4B4B?style=for-the-badge&logo=Streamlit&logoColor=white)
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- ![OpenAI](https://camo.githubusercontent.com/ea872adb9aba9cf6b4e976262f6d4b83b97972d0d5a7abccfde68eb2ae55325f/68747470733a2f2f696d672e736869656c64732e696f2f7374617469632f76313f7374796c653d666f722d7468652d6261646765266d6573736167653d4f70656e414926636f6c6f723d343132393931266c6f676f3d4f70656e4149266c6f676f436f6c6f723d464646464646266c6162656c3d)
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-
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- #### About this project
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- - This project is an automatic speech recognition application that takes a YouTube video link or a video file as input to generate a video with subtitles.
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- - You can also upload an audio file to generate a transcript as .txt, .vtt, .srt files.
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- - The application performs 2 tasks:
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- - Detects the language, transcribes the input video in its original language.
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- - Detects the language, translates it into English and then transcribes.
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- - Downloaded the video of the input link using [pytube](https://github.com/pytube/pytube).
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- - Generated a transcription of the video using the [OpenAI Whisper](https://openai.com/blog/whisper) model.
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- - Saved the transcriptions as .txt, .vtt and .srt files.
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- - Generated a subtitled version of the input video using [ffmpeg](https://github.com/FFmpeg).
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- - Displayed the original video and the subtitled video side by side.
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- - Built a multipage web app using [Streamlit](https://streamlit.io) and hosted on [HuggingFace Spaces](https://huggingface.co/spaces).
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- - You can download the generated .txt, .vtt, .srt files and the subtitled video.
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- - You can use the app via this [link](https://huggingface.co/spaces/BatuhanYilmaz/Auto-Subtitled-Video-Generator).
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-
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- ![](auto-sub.gif)
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+ ---
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+ title: Whisper-Auto-Subtitled-Video-Generator
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+ emoji: 🎥
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+ colorFrom: blue
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+ colorTo: purple
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+ sdk: streamlit
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+ sdk_version: 1.10.0
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+ app_file: 01_🎥_Input_YouTube_Link.py
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+ pinned: false
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+ ---
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+ Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference