Intelligent Object Detector with Audio using Gradio and HuggingFace
Title: Create an Intelligent Object Detector App with Audio Feedback using Gradio and Hugging Face 🚀💻
Description:
Join me in this detailed tutorial as I walk you through the process of building a powerful Object Detector App with audio feedback for identified objects. We'll use Gradio for front-end development and harness pre-trained Hugging Face transformer models for object detection. 🧠
Key Highlights:
1. Setting up the Development Environment: I'll guide you on enhancing my previous Object Detector App project using Python, Gradio, and other necessary libraries. 🔧
2. Designing the User-Friendly Gradio Interface: Learn how to create an intuitive interface where users can upload images and view the detected objects. 🎨
3. Implementing the Object Detection Logic: Discover how to utilize a pre-trained, open-source Hugging Face transformer model to detect objects in the uploaded images accurately. Additionally, I'll integrate a Text-to-Speech (TTS) model to provide audio feedback for the detected objects. 🤖
4. Deploying the App to Hugging Face Spaces: Learn how to host your app on Hugging Face's free deployment platform, making it accessible to everyone. 🚀
5. Walkthrough of the Final Application: Explore the app's features and functionality through a detailed demonstration. 🎥
By the end of this video, you'll have a functional 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 projects. 🎉
Links:
Hugging Face App URL: https://huggingface.co/spaces/mayankc... 🤖
GitHub Repository: https://github.com/mayankchugh-learni... 💻
LinkedIn Profile: / mchugh77 🔗
#objectdetector, #tts, #texttospeech, #gradio, #huggingFace, #python, #openSource, #appDevelopment, #AIEnthusiast, #ITAIEnthusiast, #GenerativeAI, #aiEnthusiast, #itaienthusiast, #generativeai
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