README.md

HarmonyAI

HarmonyAI is a powerful, self-improving AI system designed to understand and execute commands with human-like comprehension and intention. It continuously self-evaluates and optimizes its capabilities, focusing on generating financial success through ethical, innovative software solutions.

Directory Structure

``` harmonyai/ ├── dataset/ │ └── commands_dataset.csv ├── scripts/ │ ├── execute_command.py │ ├── fine_tune.py │ └── web_scrape.py ├── models/ │ └── model_config.py ├── server/ │ └── app.py ├── workflows/ │ └── airflow_dags.py ├── monitoring/ │ ├── prometheus_config.yaml │ └── grafana_dashboard.json └── README.md ```

Components

Dataset

The dataset includes a variety of commands, intents, effective methods, permissions, safety checks, self-improvement directives, and user interaction examples.

Scripts

• execute_command.py: Handles the execution of commands sent to HarmonyAI.
• fine_tune.py: Fine-tunes the selected models using the prepared dataset.
• web_scrape.py: Scrapes websites for data to be used in fine-tuning the model.

Models

• model_config.py: Configuration for the models used by HarmonyAI.

Server

• app.py: Flask server to handle command execution requests.

Workflows

• airflow_dags.py: Apache Airflow DAGs for workflow automation.

Monitoring

• prometheus_config.yaml: Configuration for Prometheus monitoring.
• grafana_dashboard.json: Configuration for Grafana dashboard.

Setup

1. Run the setup script: ``` bash setup_harmonyai_auto.sh ```

2. Fine-tune the model: ``` python ~/harmonyai/scripts/fine_tune.py ```

3. Start the server: ``` python ~/harmonyai/server/app.py ```

4. Run Airflow: ``` airflow initdb airflow webserver -p 8080 airflow scheduler ```

5. Monitor using Prometheus and Grafana:

   • Follow the configurations in prometheus_config.yaml and grafana_dashboard.json.