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Feed PDFs, URLs, Slides, YouTube, GitHub, and more into Vision-Language models with one line of code ⚡

Home Page: https://thepi.pe

License: MIT License

Python 64.38% C++ 0.15% CSS 0.23% C 0.08% Jupyter Notebook 34.51% TypeScript 0.65%
gpt-4 large-language-models multimodal pdf scrapers vision-transformer web youtube

thepipe's People

Contributors

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thepipe's Issues

Feature requests 🔨

Accepting requests features in this thread, please feel free to suggest!
The roadmap so far includes:

  • Cloud storage extraction (Google Drive, OneDrive)
  • E-Commerce platform extraction (Amazon, Ebay)
  • Alternative version control platforms (GItLab, Atlassian)

Video frame + transcript extraction

Looking to support extraction of mp4, mov, webm, avi files as well as youtube for a Vision-Language model (not a video model)

Video files vary widely in duration, so due to the context window limitations of LLMs in 2024, this implementation would likely extract a constant number of images rather than extract a variable number of images at a constant frame rate.

Audio is not standard in commercial multimodal models today. Because of this, I am also looking to provide the option to transcribe audio from the video.

Audio transcript extraction

Looking to support mp3, wav

Audio is not standard in commercial multimodal models today in 2024. Because of this, I am also looking to transcribe audio to text, probably via Whisper.

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