Installation

Prerequisites

• Python 3.8+
• pip
• Google Gemini API credentials
• Operating System: Windows, macOS, or Linux

Clone & Setup

git clone https://github.com/devdattatalele/Krya.ai.git
cd Krya.ai
python3 -m venv venv
source venv/bin/activate    # macOS/Linux
.\venv\Scripts\activate     # Windows
pip install --upgrade pip
pip install -r requirements.txt
Dependencies
streamlit — front-end

pyautogui — GUI automation

openai or proprietary Gemini client — LLM access

uvicorn, fastapi (if refactored to API)

pytest, httpx — testing

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---

## 🔧 Configuration ( `Configuration.md`)

```markdown
# Configuration

Krya.ai reads settings from `config.json` (or environment variables):

```json
{
  "gemini_api_key": "YOUR_API_KEY",
  "gemini_model": "gemini-flash-2.0",
  "max_retries": 3,
  "logging_level": "INFO"
}
gemini_api_key: your API key for LLM calls

gemini_model: model name

max_retries: number of feedback-loop retries

logging_level: DEBUG / INFO / WARNING / ERROR

Alternatively, set env vars:

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export GEMINI_API_KEY="..."
export GEMINI_MODEL="gemini-flash-2.0"
export MAX_RETRIES=3
export LOGGING_LEVEL="INFO"
yaml
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