SmartCode Assistant

A Python-based AI coding assistant that provides intelligent code suggestions and programming help through a user-friendly Gradio web interface. The application connects to a local Ollama server running the "codeguru" model to generate contextual responses for coding queries.

Features

• AI-Powered Code Assistant: Leverages the "codeguru" model for intelligent coding suggestions
• Conversation History: Maintains context across multiple interactions
• Web Interface: Clean and intuitive Gradio-based UI
• Real-time Responses: Instant feedback for your coding queries
• Local Processing: Runs entirely on your local machine for privacy

Prerequisites

Before running the SmartCode Assistant, ensure you have the following installed:

Required Software

• Python
• Ollama - Install Ollama

Required Python Packages

• requests - For HTTP API calls
• gradio - For the web interface
• json - For data serialization (built-in)

Installation

1. Clone or download the project files

   git clone <git remote add origin https://github.com/Atish019/SmartCode-Assistant.git>
   cd SmartCode-Assistant

2. Install Python dependencies

   pip install -r requirements.txt

   Or install manually:

   pip install requests gradio

3. Install and setup Ollama

   • Download and install Ollama from ollama.ai
   • Pull the codeguru model:

     ollama pull codeguru

Usage

1. Start the Ollama server

   ollama serve

   This will start the Ollama API server on http://localhost:11434

2. Run the SmartCode Assistant

   python app.py

3. Access the web interface

   • The Gradio interface will launch automatically
   • Open your browser and navigate to the provided local URL (typically http://127.0.0.1:7860)

4. Start coding with AI assistance

   • Enter your coding questions, problems, or requests in the text area
   • Click submit to get AI-generated responses
   • The assistant maintains conversation history for better context

Project Structure

SmartCode-Assistant/
├── venv/                   # Virtual environment (optional)
├── app.py                  # Main application file
├── modelfile              # Ollama model configuration
├── requirements.txt       # Python dependencies
└── README.md             # This file

Configuration

API Endpoint

The application is configured to connect to Ollama at http://localhost:11434/api/generate. If your Ollama server runs on a different port or address, modify the url variable in app.py:

url = "http://your-ollama-host:port/api/generate"

Example Queries

• "How do I implement a binary search algorithm in Python?"
• "Explain the difference between lists and tuples"
• "Write a function to validate email addresses"
• "Help me debug this sorting algorithm"
• "What's the best way to handle exceptions in Python?"

Troubleshooting

Common Issues

Error Messages

• "error: ": Check the console output for detailed error information
• HTTP 404: Verify the Ollama API endpoint is correct
• HTTP 500: Check if the specified model exists and is accessible

Happy Coding with SmartCode-Assistant!