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https://github.com/madeindra/mock-interview
Mock Interview with the help of Artificial Intelligence
https://github.com/madeindra/mock-interview
ai go interview react typescript
Last synced: about 1 month ago
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Mock Interview with the help of Artificial Intelligence
- Host: GitHub
- URL: https://github.com/madeindra/mock-interview
- Owner: madeindra
- Created: 2024-08-30T15:25:43.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2024-09-14T04:20:04.000Z (3 months ago)
- Last Synced: 2024-09-14T18:39:42.962Z (3 months ago)
- Topics: ai, go, interview, react, typescript
- Language: Go
- Homepage:
- Size: 8.01 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.MD
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README
# AI-Powered Mock Interview Tool
This project is a mock interviewing tool built with AI. It consists of a Go server and a React TypeScript client with Vite.
## Server
The server is built with Go 1.22 and is located in the `server` directory. It requires the following environment variables:
- `OPENAI_API_KEY`: Your OpenAI API key
- `ELEVENLAB_API_KEY`: Your ElevenLab API key for alternative speech engine
- `DB_PATH`: Path to SQLite database
These configurations are optional:
- `PORT`: The port number for the server to run
- `CORS_ALLOWED_ORIGINS`: Allowed origin to call the APIs
- `CORS_ALLOWED_METHODS`: Allowed methods of the APIs call
- `CORS_ALLOWED_HEADERS`: Allowed headers of the APIs call
## Client
The client is built using React TypeScript with Vite and Node.js 20. It is located in the `client` directory. It has one optional environment variable:
- `VITE_BACKEND_URL`: URL of the backend server
## Running with Docker
To run the project using Docker and docker-compose, follow these steps:
1. Make sure you have Docker and docker-compose installed on your system.
2. Clone the repository and navigate to the project root directory.
3. Create a `.env` file in the root directory with the following content:
```
OPENAI_API_KEY=your_openai_api_key_here
ELEVENLAB_API_KEY=your_openai_api_key_here
DB_PATH=your_database_path_here
```
4. Set the `VITE_BACKEND_URL` in client Dockerfile accordingly if you change the server's port mapping
5. Run the following command to build and start the containers:
```
docker-compose up --build
```
This will start the MongoDB database, the Go server, and the React client.
6. Access the client application by opening a web browser and navigating to `http://localhost:3000`.
7. To stop the containers, use the following command:
```
docker-compose down
```
### Notes
When running the server using the provided `docker-compose.yml`, the `DB_PATH` is optional.
If there the server's port is changed or if client and server are deployed in separate domain, please update the `BACKEND_URL` arguments on the client's Dockerfile.
## Development
For development purposes, you can run the server and client separately:
### Server
1. Navigate to the `server` directory.
2. Run `go run main.go` to start the server.
### Client
1. Navigate to the `client` directory.
2. Run `npm install` to install dependencies.
3. Run `npm run dev` to start the development server.
Remember to set the required environment variables when running the applications outside of Docker.
## Project Structure
- `server`: Contains the Go server code
- `client`: Contains the React TypeScript client code
- `docker-compose.yml`: Defines the multi-container Docker application
- `Dockerfile` in each directory: Defines how to build the Docker images for server and client