Experimental Implementation of WhyHow.AI Graph Toolkits for AI Understanding
Can we make scientific research more accurate by analyzing the citation graphs of papers, and analyzing if the evidence is strong enough to support the claims made in the paper?
Here we have an experimental interface for exploring the concepts in papers in order to create new science.
First, run the development server inside of whyhow-science:
# run this first to install the dependencies
npm install
# then run this to start the development server
npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun devOpen http://localhost:3000 with your browser to see the result.
If you want to run the backend FastAPI server, you can do so by running the following command in a separate terminal window:
cd backend
python -m uvicorn main:app --reload --host 0.0.0.0 --port 8000
# or you can run
python main.pyYou can start editing the page by modifying src/app/page.tsx. The page auto-updates as you edit the file.