Inspiration
To find an efficient method to convert articles into multimodal formats
What it does
It takes in PDF files or webpage links as input, users will then be able to select what format they want the article to be converted into. This includes:
- Summary paragraph
- Bullet point form
- Keywords
- Image
How we built it
We incorporated OpenAi's GPT-3 API as well as google_image_search API into a PyQt5 GUI framework
Challenges we ran into
Maintaining the functionality of the backend component of the UI was a challenge.
Accomplishments that we're proud of
- We are able to successfully generate concise summaries from a variety of articles in different format to better aid users in learning
- We successfully incorporated multiple APIs into a GUI container
What we learned
- API generation and implementation
What's next for PaperGist
- Conversationalistic AI requests (Giving more specific requests to the program. Eg. Asking it to generate powerpoint slides from the given article)
Built With
- google-image-search
- openai
- pyqt5
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