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Open Source Science

https://github.com/alan-turing-institute/who-is-that

Generate spoiler-free summaries of characters up-to-a-given-point in a text

https://github.com/alan-turing-institute/who-is-that

Science Score: 23.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ○
    .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ✓
    Committers with academic emails
    2 of 7 committers (28.6%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (7.3%) to scientific vocabulary

Keywords from Contributors

hut23 data-safe-haven hut23-1304 hut23-190 hut23-448 hut23-612 hut23-837
Last synced: 10 months ago · JSON representation

Repository

Generate spoiler-free summaries of characters up-to-a-given-point in a text

Basic Info
  • Host: GitHub
  • Owner: alan-turing-institute
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 9.96 MB
Statistics
  • Stars: 0
  • Watchers: 4
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 2 years ago · Last pushed about 2 years ago
Metadata Files
Readme License

README.md

who-is-that

Generate spoiler-free summaries of characters up-to-a-given-point in a text

Run the apps in Docker

From the main directory run the following:

shell $ docker compose -f docker/docker-compose-integrated-ollama.yaml up --build

to run:

  • backend (exposed on localhost:3000)
  • frontend (exposed on localhost:4000)
  • ollama (exposed on localhost:11434)

Native Ollama

If you want to use a native Ollama installation instead of a Dockerised version, do the following:

  • Install ollama (e.g. with brew install ollama), and run it in the background:

shell $ ollama serve &

  • [Optionally] install your desired models. If you do not do this, they will be installed on first use, although this may be slow!

shell $ ollama pull llama3:8b & $ ollama pull mistral:7b &

Now run the frontend and backend with docker:

shell $ docker compose -f docker/docker-compose-native-ollama.yaml up --build

this will deploy:

  • backend (exposed on localhost:3000)
  • frontend (exposed on localhost:4000)

[Advanced] Just the backend

  • Install and deploy ollama (as above)

Run just the backend with

shell $ poetry run flask --app backend/app run --debug

this will deploy:

  • backend (exposed on localhost:5000)

Running notebooks

shell $ poetry install

shell $ poetry run jupyter notebook

If viewing notebook in VSCode, you need to update the config to show the poetry virtualenv:

shell $ poetry config virtualenvs.in-project true

Owner

  • Name: The Alan Turing Institute
  • Login: alan-turing-institute
  • Kind: organization
  • Email: info@turing.ac.uk

The UK's national institute for data science and artificial intelligence.

GitHub Events

Total
Last Year

Committers

Last synced: 12 months ago

All Time
  • Total Commits: 240
  • Total Committers: 7
  • Avg Commits per committer: 34.286
  • Development Distribution Score (DDS): 0.525
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
James Robinson j****n@g****m 114
Ed Chalstrey e****y@g****m 38
Radka Jersakova r****a@g****m 37
crangelsmith c****h@t****k 21
evelinag e****a@e****m 18
fedenanni n****o@g****m 11
Lydia France l****e@t****k 1
Committer Domains (Top 20 + Academic)
turing.ac.uk: 2 evelinag.com: 1

Issues and Pull Requests

Last synced: 12 months ago

All Time
  • Total issues: 26
  • Total pull requests: 88
  • Average time to close issues: about 6 hours
  • Average time to close pull requests: 22 minutes
  • Total issue authors: 4
  • Total pull request authors: 6
  • Average comments per issue: 0.46
  • Average comments per pull request: 0.09
  • Merged pull requests: 88
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • jemrobinson (6)
  • crangelsmith (3)
  • radka-j (2)
  • fedenanni (1)
Pull Request Authors
  • jemrobinson (45)
  • evelinag (11)
  • radka-j (10)
  • edwardchalstrey1 (6)
  • crangelsmith (4)
  • fedenanni (3)
Top Labels
Issue Labels
frontend (5) backend (3) enhancement (1) model (1)
Pull Request Labels

Dependencies

.github/workflows/lint_code.yaml actions
  • actions/checkout v4 composite
  • actions/setup-python v5 composite
  • karancode/yamllint-github-action v2.1.1 composite
poetry.lock pypi
  • anyio 4.4.0
  • beautifulsoup4 4.12.3
  • black 24.4.2
  • blinker 1.8.2
  • certifi 2024.6.2
  • charset-normalizer 3.3.2
  • click 8.1.7
  • colorama 0.4.6
  • ebooklib 0.18
  • flask 3.0.3
  • h11 0.14.0
  • httpcore 1.0.5
  • httpx 0.27.0
  • idna 3.7
  • itsdangerous 2.2.0
  • jinja2 3.1.4
  • lxml 5.2.2
  • markupsafe 2.1.5
  • mypy-extensions 1.0.0
  • ollama 0.2.1
  • packaging 24.1
  • pathspec 0.12.1
  • pillow 10.3.0
  • platformdirs 4.2.2
  • pyyaml 6.0.1
  • requests 2.32.3
  • ruff 0.4.8
  • six 1.16.0
  • sniffio 1.3.1
  • soupsieve 2.5
  • urllib3 2.2.1
  • werkzeug 3.0.3
pyproject.toml pypi
  • python ^3.12