README.md

metadata

title: Wrdler
emoji: 🧩
colorFrom: blue
colorTo: indigo
sdk: streamlit
sdk_version: 1.51.0
python_version: 3.12.8
app_port: 8501
app_file: app.py
tags:
  - game
  - vocabulary
  - streamlit
  - education
short_description: Fast paced word guessing game
thumbnail: >-
  https://cdn-uploads.huggingface.co/production/uploads/6346595c9e5f0fe83fc60444/6rWS4AIaozoNMCbx9F5Rv.png

Wrdler

This project is based on BattleWords, but adapted for a simpler word puzzle game with an 8x6 grid, horizontal words only, and free letter guesses at the start.

Wrdler is a vocabulary learning game with a simplified grid and strategic letter guessing. The objective is to discover hidden words on a grid by making smart guesses before all letters are revealed.

Key Differences from BattleWords

• 8x6 grid (instead of 12x12) with 6 words total (one per row)
• Horizontal words only (no vertical placement)
• No scope/radar visualization
• 2 free letter guesses at the start - choose letters to reveal all instances in the grid

Features

Core Gameplay

• 8x6 grid with six hidden words (one per row, all horizontal)
• Word composition: Each puzzle contains exactly 2 four-letter words, 2 five-letter words, and 2 six-letter words
• Game starts with 2 free letter guesses; all instances of chosen letters are revealed
• Reveal grid cells and guess words for points
• Scoring tiers: Good (34–37), Great (38–41), Fantastic (42+)
• Game ends when all words are guessed or all word letters are revealed
• Incorrect guess history with tooltip and optional display (enabled by default)
• 10 incorrect guess limit per game
• Two game modes: Classic (chain guesses) and Too Easy (single guess per reveal)

Audio & Visuals

• Ocean-themed gradient background with wave animations
• Background music system (toggleable with volume control)
• Sound effects for hits, misses, correct/incorrect guesses
• Responsive UI built with Streamlit

Customization

• Multiple word lists (classic, fourth_grade, wordlist)
• Wordlist sidebar controls (picker + one-click sort)
• Audio volume controls (music and effects separate)

✅ Challenge Mode

• Shareable challenge links via short URLs (?game_id=<sid>)
• Multi-user leaderboards sorted by score and time
• Remote storage via Hugging Face datasets
• Word list difficulty calculation and display
• Submit results to existing challenges or create new ones
• Top 5 leaderboard display in Challenge Mode banner
• "Show Challenge Share Links" toggle (default OFF) to control URL visibility
• Each player gets different random words from the same wordlist

Deployment & Technical

• Dockerfile-based deployment supported for Hugging Face Spaces and other container platforms
• Environment variables for Challenge Mode (HF_API_TOKEN, HF_REPO_ID, SPACE_NAME)
• Works offline without HF credentials (Challenge Mode features disabled gracefully)

Progressive Web App (PWA)

• Installable on desktop and mobile from your browser
• Includes service worker and manifest.json with basic offline caching of static assets
• See INSTALL_GUIDE.md for platform-specific steps

Planned

• Local persistent storage for personal game history
• Personal high scores sidebar (offline-capable)
• Player statistics tracking
• Deterministic seed UI for custom puzzles

Challenge Mode & Leaderboard

When playing a shared challenge (via a game_id link), the leaderboard displays all submitted results for that challenge. The leaderboard is sorted by highest score (descending), then by fastest time (ascending). This means players with the most points appear at the top, and ties are broken by the shortest completion time.

Installation

1. Clone the repository:

git clone https://github.com/Oncorporation/Wrdler.git
cd wrdler

2. (Optional) Create and activate a virtual environment:

python -m venv venv
source venv/bin/activate # On Windows use `venv\Scripts\activate`

3. Install dependencies: ( add --system if not using a virutal environment)

uv pip install -r requirements.txt --link-mode=copy 

Running Wrdler

You can run the app locally using either uv or Streamlit directly:

uv run streamlit run app.py

or

streamlit run app.py

Dockerfile Deployment (Hugging Face Spaces and more)

Wrdler supports containerized deployment using a Dockerfile. This is the recommended method for deploying to Hugging Face Spaces or any Docker-compatible environment.

To deploy on Hugging Face Spaces:

1. Add a Dockerfile to your repository root (see Spaces Dockerfile guide).
2. Push your code to your Hugging Face Space.
3. The platform will build and run your app automatically.

For local Docker runs:

docker build -t wrdler .
docker run -p8501:8501 wrdler

Environment Variables (for Challenge Mode)

Challenge Mode requires a .env file in the project root with HuggingFace Hub credentials:

# Required for Challenge Mode
HF_API_TOKEN=hf_xxxxxxxxxxxxxxxxxxxxx  # or HF_TOKEN
HF_REPO_ID=YourUsername/YourRepo       # Target HF dataset repo
SPACE_NAME=YourUsername/Wrdler         # Your HF Space name

# Optional
CRYPTO_PK=                             # Reserved for future signing

How to get your HF_API_TOKEN:

1. Go to https://huggingface.co/settings/tokens
2. Create a new token with write access
3. Add to .env file as HF_API_TOKEN=hf_...

Note: The app works without these variables, but Challenge Mode features (sharing, leaderboards) will be disabled.

Folder Structure

• app.py – Streamlit entry point
• wrdler/ – Python package
• models.py – data models and types
• word_loader.py – word list loading and validation
• generator.py – word placement logic (8x6, horizontal only)
• logic.py – game mechanics (reveal, guess, scoring, free letters)
• ui.py – Streamlit UI composition
• game_storage.py – Hugging Face remote storage integration and challenge sharing
• local_storage.py – local JSON storage for results and high scores
• storage.py – (legacy) local storage and high scores
• words/wordlist.txt – candidate words
• specs/ – documentation (specs.md, requirements.md)
• tests/ – unit tests

Test File Location

All test files must be placed in the /tests folder. This ensures a clean project structure and makes it easy to discover and run all tests.

How to Play

1. Start with 2 free letter guesses - choose two letters to reveal all their instances in the grid.
2. Click grid squares to reveal letters or empty spaces.
3. After revealing a letter, enter a guess for a word in the text box.
4. Earn points for correct guesses and bonus points for unrevealed letters.
5. The game ends when all six words are found or all word letters are revealed. Your score tier is displayed.
6. To play a shared challenge, use a link with ?game_id=<sid>. Your result will be added to the challenge leaderboard.

Changelog

v0.0.8

• remove background animation
• add "easy" mode (single guess per reveal)

v0.0.7

• fix guess bug - allowing guesses only after word guessed or letter revealed

v0.0.2 (Current - All Sprints Complete) 🎉

• Sprint 1-3: Core data models, generator refactor, radar removal
• Sprint 4: Implemented free letter selection UI with circular green gradient buttons
• Sprint 5: Updated grid UI rendering for 8×6 display
• Sprint 6: Comprehensive integration testing (7/7 tests passing)
• Sprint 7: Complete documentation update
• Sound effects integration for free letter selection
• Mobile-responsive free letter grid
• Fixed duplicate rendering call bug
• All core Wrdler features complete and tested

v0.0.1 (Initial Wrdler Release)

• Project renamed from BattleWords to Wrdler
• Grid resized from 12x12 to 8x6
• Changed to one word per row (6 total), horizontal only
• Removed vertical word placement
• Removed scope/radar visualization
• Core data models updated for rectangular grid
• Generator refactored for horizontal-only placement

Note

• battlewords/storage.py remains local-only storage; a separate HF integration wrapper is provided as game_storage.py for remote challenge mode.

Known Issues / TODO

• Word list loading bug: the app may not select the proper word lists in some environments. Investigate word_loader.get_wordlist_files() / load_word_list() and sidebar selection persistence to ensure the chosen file is correctly used by the generator.

Development Phases

• Proof of Concept (0.1.0): No overlaps, basic UI, single session.
• Beta (0.5.0): Overlaps allowed on shared letters, responsive layout, keyboard support, deterministic seed.
• Full (1.0.0): Enhanced UX, persistence, leaderboards, daily/practice modes, advanced features.

See specs/requirements.md and specs/specs.md for full details and roadmap.

License

Wrdler is based on BattleWords. BattlewordsTM. All Rights Reserved. All content, trademarks and logos are copyrighted by the owner.

Hugging Face Spaces Configuration

Wrdler is deployable as a Hugging Face Space. You can use either the YAML config block or a Dockerfile for advanced/custom deployments.

To configure your Space with the YAML block, add it at the top of your README.md:

---
title: Wrdler
emoji: 🎲
colorFrom: blue
colorTo: indigo
sdk: streamlit
sdk_version: 1.51.0
python_version: 3.12.8
app_file: app.py
tags:
 - game
 - vocabulary
 - streamlit
 - education
---

Key parameters:

• title, emoji, colorFrom, colorTo: Visuals for your Space.
• sdk: Use streamlit for Streamlit apps.
• sdk_version: Latest supported Streamlit version.
• python_version: Python version (default is3.10).
• app_file: Entry point for your app.
• tags: List of descriptive tags.

Dependencies: Add a requirements.txt with your Python dependencies (e.g., streamlit, etc.).

Port: Streamlit Spaces use port 8501 by default.

Embedding: Spaces can be embedded in other sites using an <iframe>:

<iframe src="https://[YourUsername]-Wrdler.hf.space?embed=true" title="Wrdler"></iframe>

For full configuration options, see Spaces Config Reference and Streamlit SDK Guide.

Assets Setup

To fully experience Wrdler, especially the audio elements, ensure you set up the following assets:

• Place your background music .mp3 files in wrdler/assets/audio/music/ to enable music.
• Place your sound effect files (.mp3 or .wav) in wrdler/assets/audio/effects/ for sound effects.

Refer to the documentation for guidance on compatible audio formats and common troubleshooting tips.

Sound Asset Generation

To generate and save custom sound effects for Wrdler, you can use the generate_sound_effect function.

Function: generate_sound_effect

def generate_sound_effect(effect: str, save_to_assets: bool = False, use_api: str = "huggingface") -> str:
 """
 Generate a sound effect and save it as a file.

 Parameters:
 - `effect`: Name of the effect to generate.
 - `save_to_assets`: If `True`, saves the effect to the assets directory; 
 if `False`, saves to a temporary location. Default is `False`.
 - `use_api`: API to use for generation. Options are "huggingface" or "replicate". Default is "huggingface".

 Returns:
 - File path to the saved sound effect.

Parameters

• effect: The name of the sound effect you want to generate (e.g., "explosion", "powerup").
• save_to_assets (optional): Set to True to save the generated sound effect to the game's assets directory. If False, the effect is saved to a temporary location. Default is False.
• use_api (optional): The API to use for generating the sound. Options are "huggingface" or "replicate". Default is "huggingface".

Returns

• The function returns the file path to the saved sound effect, whether it's in the assets directory or a temporary location.

Usage Example

To generate a sound effect and save it to the assets directory:

generate_sound_effect("your_effect_name", save_to_assets=True)

To generate a sound effect and keep it in a temporary location:

temp_path = generate_sound_effect("your_effect_name", save_to_assets=False)

Note

Ensure you have the necessary permissions and API access (if required) to use the sound generation service. Generated sounds are subject to the terms of use of the respective API.

For any issues or enhancements, please refer to the project documentation or contact the project maintainer.

Happy gaming and sound designing!

What's New in v0.2.20-0.2.27: Challenge Mode 🎯

Remote Challenge Sharing 🔗

• Share challenges with friends via short URLs (?game_id=<sid>)
• Each player gets different random words from the same wordlist
• Multi-user leaderboards sorted by score and time
• Word list difficulty calculation and display
• Compare your performance against others!

Leaderboards 🏆

• Top 5 players displayed in Challenge Mode banner
• Results sorted by: highest score → fastest time → highest difficulty
• Submit results to existing challenges or create new ones
• Player names supported (optional, defaults to "Anonymous")

Remote Storage 💾

• Challenge data stored in Hugging Face dataset repositories
• Automatic save on game completion (with user consent)
• "Show Challenge Share Links" toggle for privacy control (default OFF)
• Works offline when HF credentials not configured

What's Planned for v0.3.0

Local Player History (Coming Soon)

• Personal game results saved locally in ~/.wrdler/data/
• Offline-capable high score tracking
• Player statistics (games played, averages, bests)
• Privacy-first: no cloud dependency for personal data
• Easy data management (delete ~/.wrdler/data/ to reset)

If you have any questions, checkout our documentation and community forums.