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parteipapagei

https://github.com/timbmg/parteipapagei

Science Score: 44.0%

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

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Academic email domains
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    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (5.6%) to scientific vocabulary

Keywords

bundestagswahl elections llm rag streamlit
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: timbmg
  • License: apache-2.0
  • Language: Python
  • Default Branch: main
  • Homepage: https://parteipapagei.de
  • Size: 36 MB
Statistics
  • Stars: 2
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 3
Topics
bundestagswahl elections llm rag streamlit
Created about 1 year ago · Last pushed about 1 year ago
Metadata Files
Readme License Citation

README.md

🗳️ ParteiPapagei

ParteiPapagei is a simple RAG (Retrieval-Augmented Generation) application designed to facilitate conversations with the political programs of Germany's major parties in preparation for the 2025 election ("Bundestagswahl"). The app enables users to ask questions about proposed party policies and generates responses grounded in the respective party programs. Additionally, it includes links within the responses, directing users to the relevant sections of the programs for verification and in-depth exploration. As a supplementary resource, we provide the processed and cleaned party programs in Markdown format for easy access and use.

The app can be accessed at parteipapagei.de.

parteipapagei

Citation

bibtex @software{Baumgartner_ParteiPapagei_2025, author = {Baumgärtner, Tim}, license = {Apache-2.0}, month = jan, title = {{ParteiPapagei}}, url = {https://github.com/timbmg/parteipapagei}, version = {v0.3}, year = {2025} }

Owner

  • Name: Tim Baumgärtner
  • Login: timbmg
  • Kind: user
  • Company: UKP Lab, TU Darmstadt

PhD Candidate at @UKPLab, TU Darmstadt | Developer of @UKP-SQuARE | Interested in NLProc, QA & IR

Citation (CITATION.cff) 

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: ParteiPapagei
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Tim
    family-names: Baumgärtner
    email: baumgaertner.t@gmail.com
    orcid: 'https://orcid.org/0000-0001-6903-5509'
repository-code: 'https://github.com/timbmg/parteipapagei'
url: 'https://parteipapagei.streamlit.app'
abstract: >-
  ParteiPapagei is a simple RAG (Retrieval-Augmented
  Generation) application designed to facilitate
  conversations with the political programs of Germany's
  major parties in preparation for the 2025 election
  ("Bundestagswahl"). The app enables users to ask questions
  about proposed party policies and generates responses
  grounded in the respective party programs. Additionally,
  it includes links within the responses, directing users to
  the relevant sections of the programs for verification and
  in-depth exploration. As a supplementary resource, we
  provide the processed and cleaned party programs in
  Markdown format for easy access and use.
keywords:
  - RAG
  - Bundestagswahl
  - LLM
  - Generative AI
license: Apache-2.0
commit: 519ab6e2721057e3c5ae4ff2f3c95443a825b032
version: v0.3
date-released: '2025-01-17'

GitHub Events

Total
  • Release event: 3
  • Watch event: 2
  • Public event: 1
  • Push event: 51
  • Pull request event: 2
  • Create event: 3
Last Year
  • Release event: 3
  • Watch event: 2
  • Public event: 1
  • Push event: 51
  • Pull request event: 2
  • Create event: 3

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 0
  • Total pull requests: 1
  • Average time to close issues: N/A
  • Average time to close pull requests: 5 minutes
  • Total issue authors: 0
  • Total pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 1
  • Average time to close issues: N/A
  • Average time to close pull requests: 5 minutes
  • Issue authors: 0
  • Pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
Pull Request Authors
  • timbmg (1)
Top Labels
Issue Labels
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Dependencies

pyproject.toml pypi
  • chromadb >=0.5.23
  • llama-index >=0.12.5
  • llama-index-embeddings-gemini >=0.3.0
  • llama-index-llms-gemini >=0.4.2
  • llama-index-retrievers-bm25 >=0.5.0
  • llama-index-vector-stores-chroma >=0.4.1
  • pymupdf >=1.25.1
  • python-dotenv >=1.0.1
  • simple-parsing >=0.1.6
  • st-supabase-connection >=2.0.1
  • streamlit >=1.41.1
  • streamlit-cookies-controller >=0.0.4
  • supabase >=2.11.0
  • xxhash >=3.5.0
requirements.txt pypi
  • chromadb >=0.5.23
  • llama-index >=0.12.5
  • llama-index-embeddings-gemini >=0.3.0
  • llama-index-llms-gemini >=0.4.2
  • llama-index-retrievers-bm25 *
  • llama-index-vector-stores-chroma >=0.4.1
  • st-supabase-connection >=2.0.1
  • streamlit >=1.41.1
  • streamlit-cookies-controller >=0.0.4
  • supabase >=2.11.0
  • xxhash >=3.5.0
uv.lock pypi
  • 265 dependencies