Interview Prep Assistant

Overview

Interview Prep Assistant is a small-scale app designed to help CS students practice for their coding interviews. It simulates the experience of working with a personal coding coach, providing solutions and explanations to help you prepare for coding interviews. When you submit a question, the service responds with a code solution and a detailed explanation. If you're looking for faster responses, you might want to consider using Groq instead of OpenAI.

Note: this is created for fun / test E2B's OpenAI Code Interpreter capabilities and is not affiliated with Groq or E2B or OpenAI.

Features

• User Input: You can type your coding problems directly into the text area.
• Code Generation: When you click the "Generate Code" button, the app talks to a backend service to come up with a solution.
• Code Display: The code that's generated is shown in a way that's easy to read.
• Explanations: You'll get a detailed explanation of the code that's generated.
• Error Handling: If something goes wrong while generating the code, the app will let you know what's happening.

Technologies

• Frontend: We use Streamlit to create the user interface. It's like the face of our application, where you can type in your coding problems.
• Backend: Our backend is powered by an Express.js server. It's like the brain of our application, where all the code generation magic happens.
• API Communication: We use HTTP requests to talk to our backend service. It's like the way our frontend and backend communicate with each other.

Environment Setup

• Environment Variables: You will need to create a .env file in the root directory of the project. The file should contain the following environment variables:
  • OPENAI_API_KEY: Your OpenAI API key.
  • E2B_API_KEY: Your E2B API key.

Requirements

1. Clone the repository:

   git clone <repository-url>
   cd <repository-directory>

2. Install the required packages:

   pip install streamlit requests

3. Start the backend server: Make sure the backend server (running on port 3001) is up and running. You can do this by navigating to the backend directory and running:

   npm install
   npm start

4. Run the Streamlit application:

   streamlit run streamlit.py

Usage

1. Open your web browser and navigate to http://localhost:8501 (default Streamlit port).
2. Enter your coding problem in the provided text area.
3. Click the "Generate Code" button to receive a solution.
4. Review the generated code and its explanation.

Contribution

I'm excited to share this project with the community, but I won't be maintaining it. That said, I encourage you to make it your own by forking the project and adding your unique touch. My goal was to explore the capabilities of e2b's OpenAI Code Interpreter.

Example

• Input: "Write a function that reverses a string. The input string is given as an array of characters s. You must do this by modifying the input array in-place with O(1) extra memory (credit to Leetcode)."
• Output: The application will display the generated Python code and a detailed explanation of the solution.

License

This project is licensed under the MIT License - see the LICENSE file for details.