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title: TextToImageFlickrSearch | |
emoji: π₯ | |
colorFrom: red | |
colorTo: indigo | |
sdk: gradio | |
sdk_version: 4.39.0 | |
app_file: app.py | |
pinned: false | |
### Project Overview: | |
In this project, I've combined the CLIP model's advanced image-text matching capabilities with Gradio's user-friendly interface to develop an application that allows users to retrieve and view images from a corpus based on custom text descriptions. Whether you're exploring visual datasets or enhancing search functionality, this tool can be a game-changer! | |
### Key Features: | |
πΉ CLIP Model Integration: Utilizes OpenAI's pre-trained CLIP model for robust image-text matching.<br> | |
πΉ Image Corpus Support: Easily integrate and retrieve images from your own directory.<br> | |
πΉ Interactive Gradio Interface: Provides a seamless experience for inputting text and viewing results.<br> | |
πΉ Customizable Inputs: Combine dropdown selections and text input for versatile search options.<br> | |
πΉ Optimized Display: Reduced-size image output for a cleaner and more efficient gallery view.<br> | |
#### How It Works: | |
πΉ User Input: Enter a description in the provided text box.<br> | |
πΉ Image Retrieval: The application uses the CLIP model to match the description with the most relevant images from the corpus.<br> | |
πΉ Results Display: The best-matching images are displayed in a gallery for easy viewing.<br> | |
#### Check it out on GitHub: | |
π GitHub Repository[https://github.com/SeemGoel/AIExtensiveVision_/blob/main/Session%2023/README.md] | |
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference | |