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README.md
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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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๐น CLIP Model Integration: Utilizes OpenAI's pre-trained CLIP model for robust image-text matching.
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๐น Image Corpus Support: Easily integrate and retrieve images from your own directory.
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๐น Interactive Gradio Interface: Provides a seamless experience for inputting text and viewing results.
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๐น Customizable Inputs: Combine dropdown selections and text input for versatile search options.
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๐น Optimized Display: Reduced-size image output for a cleaner and more efficient gallery view.
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#### How It Works:
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๐น User Input: Enter a description in the provided text box.
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๐น Image Retrieval: The application uses the CLIP model to match the description with the most relevant images from the corpus.
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๐น 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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๐ 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
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