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Gradio Masterclass

Welcome to Gradio Masterclass! 🚀 This repository is dedicated to teaching Gradio, an open-source Python library that makes it easy to build and share machine learning applications with a simple UI. Whether you're a beginner or an experienced ML practitioner, this masterclass will help you understand and implement Gradio effectively.

📌 Repository Overview

This repository covers:

  • 📖 Introduction to Gradio
  • 🛠 Building Interactive UIs for ML Models
  • 🔄 Gradio Components & Customization
  • 🚀 Deploying Gradio Apps
  • 🏗 Advanced Use Cases

🚀 Getting Started

1️⃣ Installation

Ensure you have Python 3.7+ installed. Clone the repository and install dependencies:

git clone https://github.com/saadsalmanakram/Gradio-Masterclass.git
cd Gradio-Masterclass
pip install -r requirements.txt

Or install Gradio directly:

pip install gradio

2️⃣ Running Your First Gradio App

Create a simple app.py file:

import gradio as gr

def greet(name):
    return f"Hello, {name}! Welcome to Gradio Masterclass!"

demo = gr.Interface(fn=greet, inputs="text", outputs="text")
demo.launch()

Run the script:

python app.py

You’ll see a link to an interactive UI! 🎉

📚 Learning Modules

1️⃣ Introduction to Gradio

  • Basics of Gradio
  • Why use Gradio for ML applications?

2️⃣ Core Gradio Components

  • gr.Interface
  • gr.Blocks
  • gradio.inputs & gradio.outputs

3️⃣ Building ML Demos with Gradio

  • Deploying NLP models
  • Image classification demos
  • Audio processing with Gradio

4️⃣ Customization & Styling

  • Changing themes and layouts
  • Adding custom CSS
  • Using JavaScript callbacks

5️⃣ Deploying Gradio Apps

  • Hosting on Hugging Face Spaces
  • Deploying with Flask/FastAPI
  • Using Docker for deployment

📂 Example Projects

Image Classification - Deploying a ResNet model with Gradio ✅ Chatbot with Hugging Face API - Using Gradio for chatbot UI ✅ QR Code Generator - Interactive QR code generation with qrcode library

🌟 Contribution Guidelines

We welcome contributions! 🚀 To contribute:

  1. Fork the repository
  2. Create a new branch (feature-xyz)
  3. Commit your changes
  4. Open a Pull Request (PR)

📜 License

This project is licensed under the MIT License.

📞 Contact & Support

For queries, reach out to me on:

Happy Coding! 🚀

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