Title: Build an Object Detector App with Gradio and Hugging Face 🚀💻
Description:
In this step-by-step tutorial, I'll show you how to build a powerful Object Detector App using Gradio for the front-end and a pre-trained Hugging Face transformer model for the object detection logic. 🧠
Key topics covered:
1. Setting up the Development Environment: Install Python, Gradio, and other required libraries. 🔧
2. Designing the Gradio User Interface: Create an intuitive interface where users can upload images and see the detected objects. 🎨
3. Implementing the Object Detection Logic: Leverage a pre-trained, open-source Hugging Face transformer model to detect objects in the uploaded images. 🤖
4. Deploying the App to Hugging Face Spaces: Host the app on Hugging Face's free deployment platform, making it accessible to everyone. 🚀
5. Walkthrough of the Final Application: Demonstrate the app's features and functionality in action. 🎥
By the end of this video, you'll have a working Object Detector App that you can use and share with others. The complete source code will be available on my GitHub repository, allowing you to customize and expand the app for your own projects. 🎉
Links:
Hugging Face App URL: https://huggingface.co/spaces/mayankc... 🤖
GitHub Repository: https://github.com/mayankchugh-learni... 💻
LinkedIn Profile: / mchugh77 🔗
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