Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/CodingDemon1/CodeConverter-GenAI
The Code Converter App is a versatile tool that allows users to convert, debug, and analyze code written in various programming languages. It utilizes the OpenAI GPT-3.5 turbo model to provide dynamic code conversion, debugging assistance, and code analysis.
https://github.com/CodingDemon1/CodeConverter-GenAI
cors express-js generative-ai html-css-javascript node-js openai-api
Last synced: about 2 months ago
JSON representation
The Code Converter App is a versatile tool that allows users to convert, debug, and analyze code written in various programming languages. It utilizes the OpenAI GPT-3.5 turbo model to provide dynamic code conversion, debugging assistance, and code analysis.
- Host: GitHub
- URL: https://github.com/CodingDemon1/CodeConverter-GenAI
- Owner: CodingDemon1
- Created: 2023-08-27T20:13:57.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2023-08-27T20:59:34.000Z (about 1 year ago)
- Last Synced: 2024-07-11T15:49:22.872Z (2 months ago)
- Topics: cors, express-js, generative-ai, html-css-javascript, node-js, openai-api
- Language: JavaScript
- Homepage: https://code-converter-fw24-335.netlify.app/
- Size: 27.3 KB
- Stars: 6
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Code Converter App
## Description
The Code Converter App is a versatile tool that allows users to convert, debug, and analyze code written in various programming languages. It utilizes the OpenAI GPT-3.5 turbo model to provide dynamic code conversion, debugging assistance, and code analysis.
## Deployed Links
- [Live Demo](https://code-converter-fw24-335.netlify.app/)
- [Backend](https://precious-gray-clothes.cyclic.app)
## Tech Stack
- Frontend: HTML, CSS, JavaScript
- Backend: Node.js, Express.js, OpenAI API
## Functionalities
- **Code Conversion**: Convert code from one programming language to another, supporting a variety of languages.
- **Code Debugging**: Get debugging assistance by submitting code and receiving error analysis and potential solutions.
- **Code Quality Analysis**: Receive an analysis of code quality, consistency, performance, and documentation.
- **User-Friendly Interface**: Intuitive interface for inputting code and choosing functionalities.
- **Real-Time Interaction**: Communicate with the OpenAI GPT-3.5 turbo model in real time for interactive code-related tasks.
## Route Endpoints
1. **Base Endpoint**: `/`
- Description: Base endpoint of the application.
2. **Code Conversion Endpoint**: `/convert`
- Description: Convert code from one language to another.
- Method: POST
- Request Body:
```
{
"code": "code snippet",
"language": "target language"
}
```
3. **Code Debugging Endpoint**: `/debug`
- Description: Provide debugging assistance for code.
- Method: POST
- Request Body:
```
{
"code": "code snippet",
"language": "programming language"
}
```
4. **Code Quality Check Endpoint**: `/qc`
- Description: Analyze code quality, consistency, and performance.
- Method: POST
- Request Body:
```
{
"code": "code snippet",
"language": "programming language"
}
```
## Screenshots
- To be added
## Areas of Improvement
- **Enhanced User Experience**: Improve the user interface and provide clearer instructions for each functionality.
- **Support More Languages**: Expand the range of supported programming languages for conversion and analysis.
- **Error Handling**: Implement robust error handling and provide meaningful error messages to users.
- **Optimize Performance**: Optimize backend performance to handle concurrent requests efficiently.
- **Real-time Interaction**: Explore real-time chat interaction with the GPT-3 model for a more interactive experience.
## How to Run Locally
1. Clone the repository: `git clone repository-url`
2. Install dependencies: `npm install`
3. Configure environment variables: Create a `.env` file and set up the required variables.
4. Run the backend: `npm start`
5. Clone and set up the frontend repository: `git clone frontend-repo-url && npm install && npm start`
Feel free to contribute to the project by submitting issues and pull requests!