Backend.py

import os
import google.generativeai as generativeai
from dotenv import load_dotenv

# Load API key from environment
load_dotenv()
generativeai.configure(api_key=os.getenv("GOOGLE_GEMINI_KEY"))

def get_correction_and_comments(code_snippet):
    """
    Analyze, correct, and comment on the given Python code.
    """
    prompt = [
        "Analyze and correct the following Python code, add comments, and format it:",
        code_snippet
    ]
    response = generativeai.GenerativeModel('gemini-pro').generate_content(prompt)
    return response.text if response else "No suggestions available."

def generate_questions(code_snippet, question_type):
    """
    Generate questions and answers based on the user's choice of question type.

    Parameters:
    - code_snippet: The Python code to generate questions for.
    - question_type: The type of questions to generate.

    Returns:
    - Generated questions and answers as text.
    """
    if question_type == "Logical Questions":
        prompt = [
            "Analyze the following Python code and generate logical reasoning questions and answers:",
            code_snippet
        ]
    elif question_type == "Interview-Based Questions":
        prompt = [
            "Analyze the following Python code and generate interview-style questions and answers for developers:",
            code_snippet
        ]
    elif question_type == "Code Analysis Questions":
        prompt = [
            "Analyze the following Python code and generate in-depth code analysis questions with answers:",
            code_snippet
        ]
    else:
        prompt = [
            "Generate general Python questions and answers based on the given code:",
            code_snippet
        ]
    
    response = generativeai.GenerativeModel('gemini-pro').generate_content(prompt)
    return response.text if response else "No answer available."