app.py

import os
from flask import Flask, request
from answer import answer_user_question
from questions import get_random_questions
from check_answers import check_answers
from flask_cors import CORS

app = Flask(__name__)

port = int(os.environ.get("PORT", 10000))

CORS(app)

@app.route("/ask-question", methods=["POST", "GET"])
def ask_question():
    json_content = request.json
    question = json_content.get('question')

    answer = answer_user_question(question)
    return {"question": question, "answer": answer}

@app.route("/check-answer", methods=["POST", "GET"])
def check_answer():
    json_content = request.json
    question = json_content.get('question')
    answer = json_content.get('answer')

    evaluation = check_answers(question, answer)
    return {"question": question, "answer": answer, "evaluation": evaluation}

@app.route("/get-questions", methods=["POST", "GET"])
def get_questions():
    json_content = request.json
    topic = json_content.get('topic')

    questions = get_random_questions(topic)
    return {"Topic": topic, "Questions": questions}

@app.route("/")
def show_api_info():
    return {
        "name": "RAG ChatBot API for mock interview",
        "creator": "M Mohamed Arafath",
        "linkedin": "https://linkedin.com/in/mohamedarafath205",
        "endpoints": [
            {
                "path": "/ask-question",
                "methods": ["POST", "GET"],
                "description": "Ask a question and get an AI-generated answer"
            },
            {
                "path": "/get-questions",
                "methods": ["POST", "GET"],
                "description": "Gives you a list of questions from the loaded PDF's"
            }
        ]
    }
if __name__ == "__main__":
    app.run(host="0.0.0.0", port=port)