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https://github.com/ajla-brdarevic/pdf_question_generator
Project - Artificial intelligence
https://github.com/ajla-brdarevic/pdf_question_generator
ai flask machine-learning mt5 pypdf2 python spacy transformers
Last synced: about 2 months ago
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Project - Artificial intelligence
- Host: GitHub
- URL: https://github.com/ajla-brdarevic/pdf_question_generator
- Owner: ajla-brdarevic
- Created: 2024-10-13T20:39:48.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2024-10-25T02:01:30.000Z (3 months ago)
- Last Synced: 2024-10-26T14:45:55.564Z (3 months ago)
- Topics: ai, flask, machine-learning, mt5, pypdf2, python, spacy, transformers
- Language: Python
- Homepage:
- Size: 462 KB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# PDF Question Generator
## Description
The PDF Question Generator is a web application that allows users to upload PDF documents and automatically generate questions based on the extracted text. It uses natural language processing techniques to analyze the content and create meaningful questions.
## Features
- Upload PDF files
- Extract text from PDFs
- Generate questions in English and Bosnian
## Technologies Used
- Python
- Flask
- spaCy
- PyPDF2
- Transformers
- pandas
## Installation
1. Clone the repository:
```bash
git clone
2. Navigate to the project directory:
```bash
cd
4. Install the required dependencies:
```bash
pip install -r requirements.txt
## Usage
1. Run the application:
```bash
python app.py
3. Open your web browser and go to:
```bash
http://127.0.0.1:5000.
# Generator Pitanja iz PDF-a
## Opis
Generator pitanja iz PDF-a je web aplikacija koja omogućava korisnicima da otpremaju PDF dokumente i automatski generiraju pitanja na osnovu izvlačenog teksta. Koristi tehnike obrade prirodnog jezika za analizu sadržaja i kreiranje smislenih pitanja.
## Karakteristike
- Otprema PDF fajlova
- Izvlačenje teksta iz PDF-ova
- Generisanje pitanja na engleskom i bosanskom jeziku
## Korištene Tehnologije
- Python
- Flask
- spaCy
- PyPDF2
- Transformers
- pandas
## Instalacija
1. Kloniraj repozitorij:
```bash
git clone
2. Idi u direktoriji projekta:
```bash
cd
4. Instaliraj potrebne zavisnosti:
```bash
pip install -r requirements.txt
## Korištenje
1. Pokreni aplikaciju:
```bash
python app.py
3. Otvori web pretraživač i idi na:
```bash
http://127.0.0.1:5000.