1. Introduction
2. AI Sections
3. Features
4. WebUI - Application Showcase
5. Vertex AI Integration
6. 📸 Image Showcase
7. Packages Used
8. 📚 Links and References
9. Versioning
10. ✍️ Author

LangChain Coder AI is a state-of-the-art code generation tool powered by OpenAI and Vertex AI. It provides a seamless experience for developers to generate code snippets in various languages based on the provided prompts. The tool is integrated with advanced AI models like GPT-3.5, GPT-3.5 Turbo, GPT-4, Code Gecko, and Code Bison, ensuring high-quality code outputs.

• AI-Powered Code Generation and Completion: Utilizes OpenAI and Vertex AI models for efficient and accurate code suggestions.
• Save and Execute Code: Provides options to save the generated code and execute it instantly.
• Coding Guidelines: Ensures the generated code adheres to standards like modularity, exception handling, error handling, logging, comments, efficiency, robustness, memory management, speed optimization, and naming conventions.
• Advanced Code Editor: Customize your coding experience with features like adjustable font size, tab size, themes, keybindings, line numbers, print margins, wrapping, auto-updates, read-only mode, and language selection.
• Customizable Vertex AI Settings: Adjust settings like temperature, max tokens, model name, project, region, and credentials file for Vertex AI.
• Offline and Online Compilation Modes: Choose between offline and online compiler modes for code execution.

• Customizable Settings: Adjust Tokens, Temperature, and set your API Key directly in the settings.
• Model Selection: Choose from a variety of models including GPT 3.5, GPT 3.5 Turbo, and the latest GPT 4.

• Customizable Settings: Fine-tune Tokens, Temperature, and set your API Key in the settings.
• Model Selection: Opt for models like Code Gecko for completions and Code Bison for code generation. These models are designed to support code completion and generation, enhancing your coding experience.

🌆 This is the main screen of the application. Dive in with a text prompt, choose your language, and let the magic happen with buttons that feel just right.

🎨 Behold the canvas after the masterpiece is painted. Code generation was never this beautiful.

LangChain Coder AI integrates with Google Vertex AI to leverage its powerful machine learning models for code generation. Vertex AI offers a range of tools and services for ML and AI, and LangChain Coder AI taps into these resources to provide top-notch code suggestions. For more details on how LangChain integrates with Vertex AI, refer to the official documentation.

Additionally, the Vertex AI SDK for Python allows for automation of data ingestion, model training, and predictions on Vertex AI. It provides a programmatic way to access most of the functionalities available in the Google Cloud console. For more information, check out the Vertex AI SDK for Python.

Main Screen UI
The main screen of the application.

Generated Code UI
Displays the generated code in a user-friendly UI.

API Rates
Shows the API rates for LangChain Coder AI.

Dark Theme Code Editor
A dark-themed code editor for a comfortable coding experience.

Coding Guidelines
Highlights the coding guidelines supported by LangChain Coder AI.

Offline Compiler
Showcases the offline compiler mode for executing code.

Online Compiler
The online compiler mode with support for multiple languages.

Swift Code Demo
A demonstration showcasing Swift code generation.

Vertex AI Code Gecko
Illustrates the code completion feature of Vertex AI Code Gecko.

• streamlit: A fast and simple way to create data apps.
• streamlit_ace: A Streamlit component for the Ace editor.
• google-auth: A Google Authentication Library.
• google-auth-oauthlib: A Google Authentication Library for OAuth.
• google-cloud-aiplatform: A client library for interacting with the Vertex AI API.
• langchain: A Python client library for interacting with the LangChain API.
• openai: A Python client library for interacting with the OpenAI API.
• python-dotenv: Reads the key-value pair from .env file and adds them to environment variable.
• vertexai: A Python client library for interacting with the Vertex AI API.

• Google Vertex AI Documentation
• LangChain Integration with Vertex AI
• Vertex AI SDK for Python

Version 1.3 includes these features:

• AI-powered code generation and completion
• Uses OpenAI and Vertex AI models
• Save, execute code, and select coding guidelines
• Advanced code editor features
• Customizable Vertex AI settings
• Offline and online compilation modes
• Coding guidelines:
  • Modularity
  • Exception handling
  • Error handling
  • Logging
  • Comments
  • Efficiency
  • Robustness
  • Memory management
  • Speed optimization
  • Naming conventions

New in version 1.3: AI-powered code generation and completion using OpenAI and Vertex AI models.

Crafted with ❤️ by HeavenHM.