Update README.md

README.md

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 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.
-🔹 Image Corpus Support: Easily integrate and retrieve images from your own directory.
-🔹 Interactive Gradio Interface: Provides a seamless experience for inputting text and viewing results.
-🔹 Customizable Inputs: Combine dropdown selections and text input for versatile search options.
-🔹 Optimized Display: Reduced-size image output for a cleaner and more efficient gallery view.
+  🔹 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.
-🔹 Image Retrieval: The application uses the CLIP model to match the description with the most relevant images from the corpus.
-🔹 Results Display: The best-matching images are displayed in a gallery for easy viewing.
+  🔹 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]