https://github.com/peterjakubowski/gemini-image-library-agent
Google Gemini Image Library Agent
https://github.com/peterjakubowski/gemini-image-library-agent
agent computer-vision database digital-asset-management gemini-api image-library llm metadata python streamlit
Last synced: 2 months ago
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Google Gemini Image Library Agent
- Host: GitHub
- URL: https://github.com/peterjakubowski/gemini-image-library-agent
- Owner: peterjakubowski
- License: apache-2.0
- Created: 2025-02-01T22:10:58.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-02-09T19:24:25.000Z (over 1 year ago)
- Last Synced: 2025-02-09T20:27:07.588Z (over 1 year ago)
- Topics: agent, computer-vision, database, digital-asset-management, gemini-api, image-library, llm, metadata, python, streamlit
- Language: Jupyter Notebook
- Homepage:
- Size: 86.9 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Gemini-Image-Library-Agent
This project illustrates the beginnings of a basic digital asset management system that is powered by Google's Gemini API. The system is designed to support management of photography image libraries. The project currently explores importing images into a database, capturing and generating descriptive metadata, and searching the image library–all with the help of a Gemini chat agent.
## Usage
The chat interface is run using streamlit. Enter the command below in your cli to launch the server in your web browser.
```commandline
streamlit run gemini_image_library_agent.py
```
## Agent Tools
* **import_image** - Open an image, extract its metadata and other information, generate descriptions using a vision model, and import or update a record in the database.
* **update_assets** - Update a record in the assets table within the database.
* **update_asset_metadata** - Update a record in the asset_metadata table within the database.
* **update_genai_description** - Update a record in the generative_metadata table within the database.
* **update_embedding** (not implemented) - Update a record in the embeddings table within the database.
* **search_image_library_sql** - Search the image library database using sql queries.
* **search_image_library_semantic** - Search the image library using vector search.
* **python_code_execution** - Use a Gemini model to run python and execute code.
* **retrieve_and_display_image** - Search the database for an image and display it in the chat.
* **date_string_from_timestamp** - Search the database for the capture date of the image with the given id. Format the date as a string '%A, %B %d, %Y'.
## Examples
### Help
### Import
### Search and Display
### Report
## Google Gen AI SDK (Gemini API)
Google Gen AI Python SDK provides an interface for developers to integrate Google's generative models into their Python applications.
Documentation: [https://googleapis.github.io/python-genai/](https://googleapis.github.io/python-genai/)
pypi: [https://pypi.org/project/google-genai/](https://pypi.org/project/google-genai/)
### API Key
Keep your Gemini API in streamlit secrets.
Add a line to the secrets.toml file: GOOGLE_API_KEY="YOUR_GOOGLE_API_KEY"
```commandline
.streamlit/secrets.toml
```