Duplicate Question Pairs Predictor

This is the backend service for the Duplicate Question Pairs Predictor project. It is built using Flask and provides an API endpoint for predicting whether two questions are duplicates.

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Features

• Accepts two questions via a POST request.
• Uses a pre-trained machine learning or deep learning model to predict if the questions are duplicates.
• Returns a JSON response with the prediction result.
• Handles CORS for cross-origin requests from the frontend.

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Technologies Used

• Flask: Python web framework for building the backend API.
• Flask-CORS: To handle cross-origin requests.
• Python Libraries:
  • numpy, pandas: For data manipulation.
  • joblib or pickle: For loading the pre-trained model.

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Installation and Setup

Prerequisites

Ensure you have the following installed:

• Python (v3.7 or higher)
• pip (comes with Python) or a virtual environment manager (e.g., venv or conda)

Steps

1. Clone the repository:

   git clone https://github.com/your-username/duplicate-question-pairs-backend.git
   cd duplicate-question-pairs-backend
   

2. Create a virtual environment:

    python -m venv env
    source env/bin/activate  # For Linux/Mac
    env\Scripts\activate     # For Windows
   

3. Install dependencies:

       pip install -r requirements.txt
   

4. Add your model file:

   Place the pre-trained model file (model.pkl or equivalent) in the model/ directory.

5. Run the server:

     python app.py
   

6. Access the API:

   The API will be available at http://127.0.0.1:5000/predict.

API Documentation

Endpoint: /predict

Method: POST

Request Body:

Send a JSON object with the following fields:

           {
               "question1": "string",
               "question2": "string"
           }