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| title: TextToImageFlickrSearch | |
| emoji: 🔥 | |
| 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: | |
| 🔹 CLIP Model Integration: Utilizes OpenAI's pre-trained CLIP model for robust image-text matching.<br> | |
| 🔹 Image Corpus Support: Easily integrate and retrieve images from your own directory.<br> | |
| 🔹 Interactive Gradio Interface: Provides a seamless experience for inputting text and viewing results.<br> | |
| 🔹 Customizable Inputs: Combine dropdown selections and text input for versatile search options.<br> | |
| 🔹 Optimized Display: Reduced-size image output for a cleaner and more efficient gallery view.<br> | |
| #### How It Works: | |
| 🔹 User Input: Enter a description in the provided text box.<br> | |
| 🔹 Image Retrieval: The application uses the CLIP model to match the description with the most relevant images from the corpus.<br> | |
| 🔹 Results Display: The best-matching images are displayed in a gallery for easy viewing.<br> | |
| #### Check it out on GitHub: | |
| 🔗 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 | |