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@@ -8,5 +8,21 @@ sdk_version: 4.39.0
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  app_file: app.py
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  pinned: false
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
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  app_file: app.py
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  pinned: false
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  ---
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+ ### Project Overview:
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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!
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+ ### Key Features:
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+ 🔹 CLIP Model Integration: Utilizes OpenAI's pre-trained CLIP model for robust image-text matching.
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+ 🔹 Image Corpus Support: Easily integrate and retrieve images from your own directory.
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+ 🔹 Interactive Gradio Interface: Provides a seamless experience for inputting text and viewing results.
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+ 🔹 Customizable Inputs: Combine dropdown selections and text input for versatile search options.
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+ 🔹 Optimized Display: Reduced-size image output for a cleaner and more efficient gallery view.
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+
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+ #### How It Works:
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+ 🔹 User Input: Enter a description in the provided text box.
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+ 🔹 Image Retrieval: The application uses the CLIP model to match the description with the most relevant images from the corpus.
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+ 🔹 Results Display: The best-matching images are displayed in a gallery for easy viewing.
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+ #### Check it out on GitHub:
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+ 🔗 GitHub Repository[https://github.com/SeemGoel/AIExtensiveVision_/blob/main/Session%2023/README.md]
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  Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference