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title: Semantrix | |
emoji: 🔠 | |
colorFrom: indigo | |
colorTo: pink | |
sdk: gradio | |
sdk_version: 5.1.0 | |
app_file: app.py | |
pinned: false | |
license: other | |
# Semantrix Game | |
This repository contains the implementation of the Semantrix game, a word guessing game using word embeddings. The game supports multiple languages (Spanish and English) and can be configured to use either a Word2Vec model or a SentenceTransformer model for word embeddings. | |
## Modules | |
### app.py | |
This module defines a Gradio-based web application for the Semantrix game. The application allows users to play the game in either Spanish or English, using different embedding models for word similarity. | |
#### Functions | |
- `convert_to_markdown_centered(text)`: Converts text to a centered markdown format for displaying game history and last attempt. | |
- **Parameters**: | |
- `text (str)`: The text to be converted. | |
- **Returns**: `str`: The centered markdown formatted text. | |
- `reset(difficulty, lang, model)`: Resets the game state based on the selected difficulty, language, and model. | |
- **Parameters**: | |
- `difficulty`: The selected difficulty level. | |
- `lang`: The selected language. | |
- `model`: The selected embedding model. | |
- **Returns**: `list`: A list of initial output components for the UI. | |
- `change(state, inp)`: Changes the game state by incrementing the state variable. | |
- **Parameters**: | |
- `state`: The current game state. | |
- `inp`: The user input. | |
- **Returns**: `list`: A list containing the updated state and input component. | |
- `update(state, radio, inp, hint)`: Updates the game state and UI components based on the current state and user inputs. | |
- **Parameters**: | |
- `state`: The current game state. | |
- `radio`: The radio input component. | |
- `inp`: The user input. | |
- `hint`: The hint state. | |
- **Returns**: `list`: A list of updated output components for the UI. | |
### game.py | |
This module defines the Semantrix class, which implements a word guessing game using word embeddings. The game can be configured to use either a Word2Vec model or a SentenceTransformer model for word embeddings. The game supports multiple languages and difficulty levels. | |
#### Classes | |
- `Semantrix`: A class that implements the Semantrix word guessing game. | |
- **Methods**: | |
- `__init__(self, lang=0, model_type="SentenceTransformer")`: Initializes the Semantrix game with the specified language and model type. | |
- `prepare_game(self, difficulty)`: Prepares the game with the selected difficulty level. | |
- `gen_rank(self, repeated)`: Generates the ranking file based on the scores. | |
- `play_game(self, word)`: Plays the game with the selected word and returns feedback. | |
- `curiosity(self)`: Generates a curiosity hint about the secret word once the game is over. | |
### hints.py | |
This module provides functions to generate dynamic hints and curiosities about a secret word using language models (LLMs). | |
#### Functions | |
- `hint(secret, n, model, last_hint, lang, Config)`: Generates a dynamic hint based on the secret word and the number of hints given. | |
- **Parameters**: | |
- `secret (str)`: The secret word. | |
- `n (int)`: The number of hints already given. | |
- `model`: The sentence transformer model used for encoding. | |
- `last_hint (int)`: The index of the last hint given. | |
- `lang (int)`: The language code (0 for Spanish, 1 for English). | |
- `Config`: Configuration object containing hint templates. | |
- **Returns**: `tuple`: A tuple containing the generated hint (str), the updated number of hints (int), and the index of the last hint given (int). | |
- `curiosity(secret, Config)`: Generates a curiosity about the secret word. | |
- **Parameters**: | |
- `secret (str)`: The secret word. | |
- `Config`: Configuration object containing the curiosity template. | |
- **Returns**: `str`: The generated curiosity. | |
- `ireplace(old, new, text)`: Replaces all occurrences of a substring in a string, case-insensitively. | |
- **Parameters**: | |
- `old (str)`: The substring to be replaced. | |
- `new (str)`: The substring to replace with. | |
- `text (str)`: The original string. | |
- **Returns**: `str`: The modified string with all occurrences of the old substring replaced by the new substring. | |
## How to Run | |
1. Clone the repository. | |
2. Install the required dependencies. | |
3. Run the `app.py` script to launch the Gradio web application. | |
## Dependencies | |
- Gradio | |
- OpenAI | |
- SentenceTransformers | |
- Gensim | |
- NumPy | |
## License | |
This project is licensed under the MIT License. |