# Gemini Workflow Integration Tool

This automation tool helps developers integrate Google Gemini models directly into their existing machine learning workflows. It generates boilerplate code, configuration files, and API wrappers to simplify adoption of Gemini models into Python-based projects.

## Features
- Supports NLP and Computer Vision workflows.
- Validates Gemini model versions via API.
- Generates Python integration code and configuration files.

## Requirements
- Python 3.7+
- Required Python packages:
  - `typer`
  - `jinja2`
  - `requests`

## Installation
Install the required dependencies:
```bash
pip install typer jinja2 requests
```

## Usage
Run the tool using the command line:
```bash
python gemini_workflow_integration.py --model <model_version> --workflow <workflow_type> --output <output_directory>
```

### Example
```bash
python gemini_workflow_integration.py --model gemini-3 --workflow nlp --output ./output
```
This will generate the following files in the `./output` directory:
- `integration.py`: Boilerplate code for the specified workflow.
- `config.json`: Configuration file with model version and workflow type.

## Testing
Run the tests using `pytest`:
```bash
pytest test_gemini_workflow_integration.py
```

## License
MIT License