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issuegpt

https://github.com/a854949/issuegpt

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
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    Academic publication links
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    Academic email domains
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    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (10.3%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: A854949
  • License: apache-2.0
  • Language: Python
  • Default Branch: main
  • Size: 2.64 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 2 years ago · Last pushed almost 2 years ago
Metadata Files
Readme Changelog License Citation

README.md

IssueGPT

image

Issue is an advanced AI-driven tool designed to enhance the efficiency and accuracy of troubleshooting within computer product testing . This system utilizes state-of-the-art Large Language Models (LLMs) to analyze complex issues, predict root causes based on historical data, and suggest viable solutions.

Prerequisite

  1. WSL
  2. CUDA
  3. CONDA

Installation

  • Clone IssueGPT repository git clone https://github.com/A854949/IssueGPT.git cd IssueGPT

  • Clone llama.cpp repository git clone https://github.com/ggerganov/llama.cpp cd llama.cpp make

  • Install Python 3.11 conda create -n IssueGPT python=3.11 conda activate IssueGPT

  • Modify IssueGPT/settings.yaml - local to specific your model name poetry install --with ui poetry install --with local

  • Run python scripts/setup to download your model

  • After that running the following command in the repository will install llama.cpp with GPU support: CMAKE_ARGS='-DLLAMA_CUBLAS=on' poetry run pip install --force-reinstall --no-cache-dir llama-cpp-python

  • Create folder and put your data inside, and run make ingest $above_folder_path

  • Once installed, you can run IssueGPT with the following command: PGPT_PROFILES=local make run

  • If your installation was correct, you should see a message similar to the following next time you start the server BLAS = 1.

  • The UI will be available at http://localhost:8001

Owner

  • Name: Mika Shih
  • Login: A854949
  • Kind: user

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: PrivateGPT
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Iván
    family-names: Martínez Toro
    email: ivanmartit@gmail.com
    orcid: 'https://orcid.org/0009-0004-5065-2311'
  - family-names: Gallego Vico
    given-names: Daniel
    email: danielgallegovico@gmail.com
    orcid: 'https://orcid.org/0009-0006-8582-4384'
  - given-names: Pablo
    family-names: Orgaz
    email: pabloogc+gh@gmail.com
    orcid: 'https://orcid.org/0009-0008-0080-1437'
repository-code: 'https://github.com/imartinez/privateGPT'
license: Apache-2.0
date-released: '2023-05-02'

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Dependencies

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poetry.lock pypi
  • 215 dependencies
pyproject.toml pypi
  • black ^22 develop
  • mypy ^1.2 develop
  • pre-commit ^2 develop
  • pytest ^7 develop
  • pytest-asyncio ^0.21.1 develop
  • pytest-cov ^3 develop
  • ruff ^0 develop
  • types-pyyaml ^6.0.12.12 develop
  • llama-cpp-python ^0.2.23 local
  • numpy 1.26.0 local
  • sentence-transformers ^2.2.2 local
  • torch >=2.0.0, !=2.0.1, !=2.1.0 local
  • transformers ^4.34.0 local
  • asyncpg ^0.29.0
  • boto3 ^1.28.56
  • chromadb ^0.4.13
  • fastapi ^0.103.1
  • injector ^0.21.0
  • llama-index 0.9.3
  • pgvector ^0.2.5
  • psycopg2-binary ^2.9.9
  • pypdf ^3.16.2
  • python >=3.11,<3.12
  • python-multipart ^0.0.6
  • pyyaml ^6.0.1
  • qdrant-client ^1.6.9
  • sqlalchemy ^2.0.27
  • watchdog ^3.0.0
  • gradio ^4.19.0 ui