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Update app_srv/app_srv.py
Browse files- app_srv/app_srv.py +5 -5
app_srv/app_srv.py
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@@ -34,11 +34,11 @@ The following technologies were used in the implementation:
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1. If you get an error message like this:
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```text
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Error: Processing error: Media download error: ERROR: [youtube] FK3dav4bA4s: Sign in to confirm you're not a bot. Use --cookies-from-browser or --cookies for the authentication. See https://github.com/yt-dlp/yt-dlp/wiki/FAQ#how-do-i-pass-cookies-to-yt-dlp for how to manually pass cookies. Also see https://github.com/yt-dlp/yt-dlp/wiki/Extractors#exporting-youtube-cookies for tips on effectively exporting YouTube cookies
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```
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Export cookies from your browser. ***DO NOT CLOSE THE YOUTUBE TAB AFTER EXPORTING COOKIES!*** Import cookies into GUI. And perform video analysis.
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2. Do not forget to delete cookies after use. Self-deletion is not provided. Remember, this is a public space. If possible, clone it to private or use it locally as a Docker container.
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3. ***This space will not work correctly without GPU.*** Analyzing video clips is a rather resource-intensive process. The minimum tested is Nvidia T4 small.
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4. If you have any problems, feel free to open a discussion on the "Community" tab.
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[Quick video tutorial](https://drive.google.com/file/d/1LiZ9v5KsT3C_pJ8xLYmYkZDiM54vftjm/view?usp=drive_link)
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"""
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1. If you get an error message like this:
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```text
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Error: Processing error: Media download error: ERROR: [youtube] FK3dav4bA4s: Sign in to confirm you're not a bot. Use --cookies-from-browser or --cookies for the authentication. See https://github.com/yt-dlp/yt-dlp/wiki/FAQ#how-do-i-pass-cookies-to-yt-dlp for how to manually pass cookies. Also see https://github.com/yt-dlp/yt-dlp/wiki/Extractors#exporting-youtube-cookies for tips on effectively exporting YouTube cookies
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```
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Export cookies from your browser. ***DO NOT CLOSE THE YOUTUBE TAB AFTER EXPORTING COOKIES!*** Import cookies into GUI. And perform video analysis.
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2. Do not forget to delete cookies after use. Self-deletion is not provided. Remember, this is a public space. If possible, clone it to private or use it locally as a Docker container.
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+
3. ***This space will not work correctly without GPU.*** Analyzing video clips is a rather resource-intensive process. The minimum tested is Nvidia T4 small.
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4. If you have any problems, feel free to open a discussion on the "Community" tab.
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[Quick video tutorial](https://drive.google.com/file/d/1LiZ9v5KsT3C_pJ8xLYmYkZDiM54vftjm/view?usp=drive_link)
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"""
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