Our MVP

This Flask web application allows users to draw an image based on a given prompt and then compares the similarity between the drawn image and the prompt using the OpenAI CLIP (Contrastive Language-Image Pre-training) model.

Features

• Paint Page: Users can draw an image based on a provided prompt.
• Prompt Generator: Users can receive a random prompt to inspire their drawing.
• Gallery: Saved image gallery
• Similarity Comparison: The drawn image is compared with the provided prompt using CLIP, and the similarity percentage is displayed.

Setup Instructions

1. Clone the repository:

   git clone https://github.com/Bala-Vignesh-Reddy/Promraw.git

2. Navigate to the project directory:

   cd Promraw

3. Install the required dependencies using pip:

   pip install -r requirements.txt

4. Run the Flask application:

   python main.py

5. Access the web application in your browser at http://localhost:5000.

Usage

1. Draw an image based on the provided prompt on the paint page.
2. Click on the "Generate Prompt" button to receive a random prompt if desired.
3. Click on the "Submit" button to compare your drawing with the provided prompt.
4. View the similarity percentage and the original prompt.

Dependencies

• Flask: Web framework for building the application.
• PyTorch: Deep learning library used for CLIP model integration.
• Transformers: Library for natural language understanding (NLU) and natural language generation (NLG) tasks, including CLIP.
• Pillow: Image processing library used for handling images.

License

This project is licensed under the MIT License.