https://github.com/rijoslal/drip-web
DRIP is an interactive web app that combines generative AI with user-drawn inputs, transforming creativity into insightful responses. Explore the fusion of art and data for a unique experience
https://github.com/rijoslal/drip-web
gemini-api prompt-tuning python3 streamlit
Last synced: about 1 month ago
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DRIP is an interactive web app that combines generative AI with user-drawn inputs, transforming creativity into insightful responses. Explore the fusion of art and data for a unique experience
- Host: GitHub
- URL: https://github.com/rijoslal/drip-web
- Owner: RijoSLal
- Created: 2024-09-22T16:07:43.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2024-10-15T15:20:15.000Z (7 months ago)
- Last Synced: 2025-03-26T05:42:06.803Z (about 2 months ago)
- Topics: gemini-api, prompt-tuning, python3, streamlit
- Language: Python
- Homepage: https://drip-web.streamlit.app/
- Size: 40 KB
- Stars: 2
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# DRIP - Drawing Recognition Intelligent Programme
## Introduction
DRIP is a sophisticated web application developed using Streamlit, designed to enable users to create drawings and generate intelligent responses through Google's Generative AI. This project leverages advanced technologies to provide a seamless and interactive user experience.
## Key Features
- **Interactive Drawing Canvas**: Users can freely create artwork using various brush settings.
- **Customizable Drawing Tools**: Choose from an array of stroke colors and widths tailored to individual preferences.
- **Eraser Functionality**: Easily correct mistakes with an integrated eraser tool.
- **AI-Driven Insights**: Generates contextual responses based on the user's drawings.
- **Responsive Design**: Optimized for a variety of screen sizes, ensuring accessibility on mobile and desktop devices.
## Installation
To set up the project locally, follow these steps:
1. **Clone the Repository**:
```bash
git clone
cd
```
2. **Set Up a Virtual Environment** (recommended):
```bash
python -m venv env
source env/bin/activate # On Windows use `env\Scripts\activate`
```
3. **Install Required Packages**:
```bash
pip install streamlit streamlit-drawable-canvas pillow google-generativeai
```
4. **Configure Google Generative AI API Key**:
- Insert your API key in the code or set it in your environment variables:
```bash
export API_KEY="your_api_key_here" # On Windows use `set API_KEY=your_api_key_here`
```
## Usage
1. **Launch the Application**:
```bash
streamlit run app.py # Replace `app.py` with the name of your script
```
2. **Access the Application**:
- Open a web browser and navigate to `http://localhost:8501`.
3. **User Interaction**:
- Utilize the drawing tools in the sidebar to create drawings.
- Click the "Generate" button to obtain an AI-generated response based on your artwork.
## Contributing
Contributions are encouraged to enhance the functionality and performance of the application. Please open an issue or submit a pull request for any suggestions or improvements.
## Acknowledgments
- **Streamlit**: A powerful framework for building interactive data applications.
- **Google Generative AI**: For providing robust AI capabilities that enhance user experience.
## Contact
For inquiries or further information, please contact Rijo S Lal at linkdin.
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