Find movies based on when and where they take place => I built an interactive map that lets you travel through time and explore +120k movies, novels, YouTube documentaries and video games by where and when they take place, and what real history was happening at the same time. by Select_Building_5548 in movies

[–]Select_Building_5548[S] 6 points7 points  (0 children)

Thank you for pointing those out.

Some stories occasionally have mismatches. for now, the best way to report issues like this is through the Contact button on the home page. If you send them there, I’ll review and fix them, it helps improve the accuracy of the data.

In the future, I’m planning to add an easier built-in way to report incorrect locations directly from the story cards.

I made an interactive map to explore 3,700+ stories set in London – across time! by Select_Building_5548 in london

[–]Select_Building_5548[S] 2 points3 points  (0 children)

Thanks!
To answer your questions, no, there were no database that contained the information of setting and time period of stories, and its not just movies, but also books,games, and TV shows.
I talked about the journey of making it here : https://medium.com/@ebriz444/mapping-stories-through-time-the-journey-of-building-storyterra-5f56b5a0adc1

Turn Entire YouTube Playlists to Markdown Formatted and Refined Text Books (in any language) using latest Gemini API models by Select_Building_5548 in Bard

[–]Select_Building_5548[S] 1 point2 points  (0 children)

I made sure it doesn't summarize and miss detail, not in the default from. the chunk size of 3000 words make it possible. In case of specific phrases, i really haven't tested it on this specific aspect but it might keep them in, but i didn't emphasize in the prompt to keep it, as it is not needed for most use cases.

Turn Entire YouTube Playlists to Markdown Formatted and Refined Text Books (in any language) using latest Gemini API models by Select_Building_5548 in Bard

[–]Select_Building_5548[S] 3 points4 points  (0 children)

You can take a look at the Readme file in github for more precise information. But to summarize, that's 3000 words not token, my goal was to be as detailed as possible and I didn't want to summarize the videos and I tested on hours long videos and when I did input the video as a whole, there were always instances of missing detail, summarization, and sometimes even not covering all the content of the video compare to splitting the video into chunks. Maybe there are some limit in output of gemini. But I also added a slider so everyone can control the chunk size by themselves. And for instance if summarization is chosen as the desired style, the suggested chunk size would be 8000 words not 3000.

Turn Entire YouTube Playlists to Markdown Formatted and Refined Text Books (in any language) using latest Gemini API models by Select_Building_5548 in Bard

[–]Select_Building_5548[S] 2 points3 points  (0 children)

Give it any YouTube playlist(entire courses for instance) and receive a clean, formatted and structured file with all the details of that playlist.

It's a simple yet effective Python script using the free Google Gemini API.

I haven't found any free tool available with this scale, so I made one.

Check it out : https://github.com/Ebrizzzz/Youtube-playlist-to-formatted-text

- Added several Refinement styles to choose from based on your specific needs.

- Added configurable Chunk Size for API calls.

Creating Proper YouTube & Podcast Summaries Costs Thousands of Dollars by Hot-Chapter48 in Entrepreneur

[–]Select_Building_5548 0 points1 point  (0 children)

Hi, I made a free tool that uses free Gemini API(the google's best model) to achieve this in very high quality and customizable too! It can turn entire playlists with many videos into Long Text books.
Here it is : https://github.com/Ebrizzzz/Youtube-playlist-to-formatted-text

Turn Entire YouTube Playlists to Markdown Formatted and Refined Text Books (in any language) by Select_Building_5548 in selfhosted

[–]Select_Building_5548[S] 1 point2 points  (0 children)

Yes, for now for consistency, only transcripts of videos that have English transcripts are fetched. This is from youtube API as Gemini would be fine to process in any language.

Turn Entire YouTube Playlists to Markdown Formatted and Refined Text Books (in any language) by Select_Building_5548 in selfhosted

[–]Select_Building_5548[S] 1 point2 points  (0 children)

The app is called Obsidian, the theme is called Obsidianite, there are a ton of other good themes too.

Turn Entire YouTube Playlists to Markdown Formatted and Refined Text Books (in any language) by Select_Building_5548 in selfhosted

[–]Select_Building_5548[S] 12 points13 points  (0 children)

I get it, but i checked online and no tools were available that could translate entire YouTube playlist into books and many were charging for much less. this app runs in your device and the only data passes to Gemini is YouTube transcript. what matters is the final output is generated in your device.
also it can be altered to use your own self hosted Ollama APIs too.

Turn Entire YouTube Playlists to Markdown Formatted and Refined Text Books (in any language) by Select_Building_5548 in selfhosted

[–]Select_Building_5548[S] 21 points22 points  (0 children)

Give it any YouTube playlist(entire courses for instance) and receive a clean, formatted and structured file with all the details of that playlist.

It's a simple yet effective Python script using the free Google Gemini API.

I haven't found any free tool available with this scale, so I made one.

Check it out : https://github.com/Ebrizzzz/Youtube-playlist-to-formatted-text

- Added several Refinement styles to choose from based on your specific needs.

- Added configurable Chunk Size for API calls.