README.md

metadata

title: CodeBlesser
sdk: gradio
emoji: 🚀
colorFrom: purple
thumbnail: >-
  https://cdn-uploads.huggingface.co/production/uploads/673b61ead55948359af54fad/RFDWDDtspDMekPhk6xynE.png
short_description: A powerful AI-powered code assistant that can generate, fix,
sdk_version: 5.42.0

🚀 AI Code Generator & Bug Fixer

A powerful AI-powered code assistant that can generate, fix, optimize, and explain code in multiple programming languages.

🌟 Features

• 🔧 Generate Code: Create clean, optimized code from natural language descriptions
• 🐛 Fix Bugs: Automatically identify and fix bugs in your code
• ⚡ Optimize Code: Improve code performance and readability
• 📚 Explain Code: Get detailed explanations of how code works
• 🎯 Multi-Language Support: Python, JavaScript, Java, C++, C#, Go, Rust, TypeScript, PHP, Ruby, HTML, CSS, SQL
• 🎨 Modern UI: Beautiful, responsive interface built with Gradio
• ⚙️ Customizable: Adjustable parameters for creativity and output length

🚀 Quick Start

1. Click "Initialize Model" to load the AI engine
2. Select your task type (Generate, Fix, Optimize, or Explain)
3. Choose your programming language
4. Enter your request or paste your code
5. Click "Process Request" and get instant results!

💡 Example Use Cases

Generate Code

Input: "Create a REST API endpoint for user authentication"
Output: Complete FastAPI/Flask code with authentication logic

Fix Bugs

# Input (buggy code):
def calculate_average(numbers):
    total = 0
    for i in range(len(numbers)):
        total += numbers[i]
    return total / len(numbers)  # Division by zero possible!

# Output: Fixed version with error handling

Optimize Code

# Input: Inefficient bubble sort
# Output: Optimized quicksort or built-in sorting with explanations

Explain Code

# Input: Complex decorators or algorithms
# Output: Step-by-step explanation of functionality

🛠️ Technical Details

• Framework: Gradio 4.0+
• AI Models: Multiple fallback models for reliability
• Languages Supported: 13+ programming languages
• Deployment: Optimized for Hugging Face Spaces
• GPU Support: Automatic GPU detection and utilization

📋 Installation

For local development:

git clone https://github.com/hari7261/ai-code-assistant
cd ai-code-assistant
pip install -r requirements.txt
python app.py

🔧 Configuration

The app automatically handles:

• Model loading with fallback options
• GPU/CPU optimization
• Memory management
• Error handling

🎨 UI Features

• Modern Design: Gradient backgrounds and smooth animations
• Responsive Layout: Works on desktop and mobile
• Code Highlighting: Syntax highlighting for all supported languages
• Examples: Pre-built examples for quick testing
• Real-time Feedback: Status updates and progress indicators

🤝 Contributing

Contributions are welcome! Please feel free to submit issues and pull requests.

📄 License

This project is open source and available under the MIT License.

🙋‍♂️ Creator

Hariom Kumar Pandit

• 🐙 GitHub: @hari7261
• 🤗 HuggingFace: @hari7261

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Empowering developers worldwide with AI-powered coding assistance