Skip to content

OneFineStarstuff/OneFineStarstuff.github.io

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

287 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

AGI Pipeline

Overview

A comprehensive AGI pipeline integrating NLP, Computer Vision, and Speech Processing using pre-trained models.

Features

  • Text generation with T5
  • Object detection with YOLO
  • Speech-to-text with Whisper
  • Text-to-speech with Pyttsx3

Installation

  1. Clone the repository:

    git clone https://github.com/yourusername/agi-pipeline.git
  2. Navigate to the project directory:

    cd agi-pipeline
  3. Create and activate a virtual environment:

    python -m venv venv
    source venv/bin/activate  # On Windows use `venv\Scripts\activate`
  4. Install dependencies:

    pip install -r requirements.txt

Usage

  1. Run the FastAPI application:

    uvicorn main:app --reload
  2. Access the API at http://127.0.0.1:8000.

Using Docker

  1. Build the Docker image:

    docker build -t agi-pipeline:1.0.1 .
  2. Run the Docker container:

    docker run -p 8000:8000 agi-pipeline:1.0.1

Contributing

Feel free to open issues or submit pull requests!

License

This project is licensed under the MIT License - see the LICENSE file for details.

Governance Artifact Tooling

This repository includes a governance artifact package under docs/artifacts/ with:

  • YAML source-of-truth artifact
  • canonical JSON export
  • JSON Schema contract
  • sample CI/CD policy and regulator report templates

Local governance checks

pip install -r requirements-dev.txt
# non-mutating freshness checks
make check-governance-json-clean
make check-governance-manifest-clean
make validate-governance
make test-governance
# CI-style run with JUnit output
make test-governance-ci
make summarize-governance-tests
# one-shot full pipeline
make verify-governance

When generated files are intentionally updated, regenerate before commit:

make build-governance-json
make build-governance-manifest

Notes

  • make check-governance-json-clean fails if committed JSON is stale (without rewriting files).
  • make check-governance-manifest-clean fails if committed docs/artifacts/manifest.json is stale (without rewriting files).
  • make validate-governance enforces schema, parity, and template checks.
  • make test-governance includes an integrity test against the repository artifact files.
  • CI runs the same targets in .github/workflows/governance-artifact-validation.yml and uploads JUnit results and posts a summary.

Advanced path overrides

Use custom paths when artifacts are relocated (all paths are relative to --root):

python scripts/export_governance_artifact_json.py --root . \
  --yaml docs/artifacts/custom.yaml \
  --json docs/artifacts/custom.json

python scripts/validate_governance_artifact.py --root . \
  --yaml docs/artifacts/custom.yaml \
  --json docs/artifacts/custom.json \
  --schema docs/artifacts/schemas/enterprise_ai_governance_artifact.schema.json \
  --cicd docs/artifacts/examples/cicd_policy_gate_manifest.yaml \
  --report docs/artifacts/examples/regulator_report_template.xml

Tool version flags

python scripts/export_governance_artifact_json.py --version
python scripts/validate_governance_artifact.py --version
python scripts/summarize_governance_test_results.py --version

Releases

No releases published

Packages

 
 
 

Contributors