Flashy - Language Flashcard Application

Flashy is a language learning application that helps you learn and memorize new words using flashcards. The application supports a dynamic set of flashcards and allows users to mark words as known, flip cards to see translations, and restart progress.

Features

• Flashcard Display: Shows a new flashcard every few seconds with an English word.
• Card Flipping: Flip the card to see the translation in Russian.
• Mark as Known: Mark a word as known, removing it from the learning pool.
• Restart Progress: Option to restart learning, clearing all progress.
• Dynamic Learning Set: Updates the set of words to learn based on user progress.

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/flashy.git
   cd flashy

2. Install the required dependencies: Ensure you have pandas and tkinter installed in your Python environment.

   pip install pandas

3. Prepare your data: Ensure you have the necessary CSV files and images:

   • data/en_words.csv: The original set of English-Russian word pairs.
   • data/words_to_learn.csv: Will be created and managed by the application to track learning progress.
   • images/card_front.png: Image for the front of the card.
   • images/card_back.png: Image for the back of the card.
   • images/right.png, images/wrong.png, images/flip.png, images/restart.png: Button images.

Usage

1. Run the application:

   python flashy.py

2. Interact with the application:

   • Click the "Right" button if you know the word.
   • Click the "Wrong" button to skip to the next word.
   • Click the "Flip" button to flip the card and see the translation.
   • Click the "Restart" button to restart your progress.

Code Overview

Flashcard Logic

• next_card(): Displays the next word in the learning set.
• flip_card(): Flips the card to show the translation.
• is_known(): Removes the current word from the learning set if marked as known.
• flip_back(): Manually flips the card back to the English word.
• restart(): Restarts the learning progress by removing the words_to_learn.csv file.

UI Setup

• The application uses Tkinter for the graphical interface.
• Images are loaded using PhotoImage and placed on a Canvas widget.
• Buttons are configured with images and linked to their respective functions.

Contributing

Feel free to submit issues and enhancement requests.

License

This project is licensed under the MIT License.