---
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