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Browse files- README.md +20 -8
- app.py +116 -16
- requirements.txt +3 -0
README.md
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sdk: gradio
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app_file: app.py
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pinned: false
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sdk_version: 6.20.0
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---
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# AI BoardGame Forge
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A web app that turns any theme into a mini card game with AI-generated
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Enter a theme, such as "Space Cats" or "Ancient Pirates", or pick one of the
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example themes provided, and the app generates a game title, description,
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rules, and 4 unique cards with AI-generated artwork.
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## How it works
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- Game text (title, description, rules, cards) is generated
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- Card artwork is generated using Pollinations.ai, a free image generation
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service that requires no API key.
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- Each card is composed into a trading-card layout using Pillow (PIL).
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- The interface is built with Gradio.
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## Files
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- `app.py`: the full application code
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- `requirements.txt`: the Python packages needed to run it
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sdk: gradio
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app_file: app.py
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pinned: false
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---
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# AI BoardGame Forge
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A web app that turns any theme into a mini card game with AI-generated text
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and AI-generated artwork.
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Enter a theme, such as "Space Cats" or "Ancient Pirates", or pick one of the
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example themes provided, and the app generates a game title, description,
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rules, and 4 unique cards, each with its own AI-generated artwork.
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## How it works
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- Game text (title, description, rules, cards) is generated by
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Qwen2.5-0.5B-Instruct, a small, free, open-source language model that
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runs locally through the Hugging Face `transformers` library. No API key
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or account is needed.
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- If the model's reply cannot be parsed as valid JSON with exactly 4 cards,
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the app falls back to a local template generator so it never breaks.
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- Card artwork is generated using Pollinations.ai, a free image generation
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service that also requires no API key. If an image request fails, a
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themed placeholder image is used instead.
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- Each card is composed into a trading-card layout using Pillow (PIL).
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- The interface is built with Gradio.
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## Files
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- `app.py`: the full application code
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- `requirements.txt`: the Python packages needed to run it
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## Notes on hardware
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This Space loads a small language model in addition to making image
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requests, so the free CPU tier works but the first response after startup
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may take a bit longer while the model loads into memory. Generating a full
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game typically takes somewhere between 20 and 90 seconds depending on
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available compute.
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app.py
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"""
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AI BoardGame Forge
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A Gradio web app that turns any theme into a mini card game with
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AI-generated artwork. Built for Hugging Face Spaces.
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"""
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import random
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import urllib.parse
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from io import BytesIO
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import requests
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import gradio as gr
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from PIL import Image, ImageDraw, ImageFont
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# ------------------------------------------------------------
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#
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# ------------------------------------------------------------
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TITLE_TEMPLATES = [
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"{theme} Wars",
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"The {theme} Chronicles",
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"{theme}: The Card Game",
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"Rise of the {theme}",
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"{theme} Showdown",
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"Legends of {theme}",
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"{theme} Uprising",
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]
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DESCRIPTION_TEMPLATES = [
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"In this game, players take on the role of characters caught up in a {theme} scenario. Each player uses cards to outsmart their opponents and be the first to win.",
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"Players compete in a world inspired by {theme}, drawing and playing cards to gain the upper hand. Strategy and a little luck decide the winner.",
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"Set in a world inspired by {theme}, each player builds a small hand of powerful cards and battles to reach the win condition first.",
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]
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RULES_TEMPLATE = """1. Each player starts with a hand of 4 cards.
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NAME_PARTS = [
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"Guardian", "Blade", "Shadow", "Spark", "Wanderer", "Sentinel",
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"Rebel", "Trickster", "Champion", "Outcast",
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]
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EFFECT_POOL = [
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"Steal one card from an opponent's hand.",
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"Skip your opponent's next turn.",
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"Double your score this round.",
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"Swap this card with any card in the discard pile.",
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"Force all players to reveal their hand.",
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"Gain +3 power for the rest of the game.",
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"Discard your hand and draw a fresh one.",
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"Copy the effect of the last card played.",
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]
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def
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"""
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theme_clean = theme.strip().title()
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title = random.choice(TITLE_TEMPLATES).format(theme=theme_clean)
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return {"title": title, "description": description, "rules": rules, "cards": cards}
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# ------------------------------------------------------------
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# AI artwork generator
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# ------------------------------------------------------------
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def make_placeholder_art(card):
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"""A simple backup image used
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colors = TYPE_COLORS.get(card["type"], {"bg": (100, 100, 100)})
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img = Image.new("RGB", (512, 512), colors["bg"])
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draw = ImageDraw.Draw(img)
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def draw_card(card, art_image, theme):
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"""Composes the final card image: background, artwork, title bar, type badge, effect text.
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width, height = 500, 700
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colors = TYPE_COLORS.get(card["type"], {"bg": (60, 60, 60), "border": (255, 255, 255)})
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# ------------------------------------------------------------
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def forge_full_game(theme):
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"""Full pipeline: theme -> game text -> AI artwork -> designed card images."""
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print(f"Generating game for theme: {theme}")
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game_data = generate_game(theme)
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print(f"Game created: {game_data['title']}")
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gr.Markdown("# AI BoardGame Forge")
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gr.Markdown(
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"Enter a theme, or select one of the example themes below, "
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"then click Generate Game to create a mini card game with AI-generated artwork."
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)
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theme_input = gr.Textbox(
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"""
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AI BoardGame Forge
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A Gradio web app that turns any theme into a mini card game with
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AI-generated text and AI-generated artwork. Built for Hugging Face Spaces.
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"""
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import json
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import random
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import urllib.parse
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from io import BytesIO
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import requests
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import gradio as gr
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import torch
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from PIL import Image, ImageDraw, ImageFont
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from transformers import AutoModelForCausalLM, AutoTokenizer
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# ------------------------------------------------------------
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# Language model setup
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# ------------------------------------------------------------
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MODEL_NAME = "Qwen/Qwen2.5-0.5B-Instruct"
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print("Loading language model, this can take a minute on first startup...")
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tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
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model = AutoModelForCausalLM.from_pretrained(
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MODEL_NAME,
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torch_dtype="auto",
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device_map="auto",
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)
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print("Model loaded.")
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def ask_llm(system_prompt, user_prompt, max_new_tokens=500):
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"""Sends a system prompt and a user prompt to the model and returns its text reply."""
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messages = [
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{"role": "system", "content": system_prompt},
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{"role": "user", "content": user_prompt},
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]
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prompt_text = tokenizer.apply_chat_template(
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messages, tokenize=False, add_generation_prompt=True
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)
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inputs = tokenizer(prompt_text, return_tensors="pt").to(model.device)
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output_tokens = model.generate(
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**inputs,
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max_new_tokens=max_new_tokens,
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do_sample=True,
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temperature=0.8,
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pad_token_id=tokenizer.eos_token_id,
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)
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new_tokens = output_tokens[0][inputs["input_ids"].shape[1]:]
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reply = tokenizer.decode(new_tokens, skip_special_tokens=True)
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return reply.strip()
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# ------------------------------------------------------------
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# Game text generator (LLM-based, with a template fallback)
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# ------------------------------------------------------------
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SYSTEM_PROMPT = """You are a creative board game designer.
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Given a theme, invent a simple, fun mini card game based on it.
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Reply with ONLY valid JSON, no extra text and no markdown code fences, in exactly this format:
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{
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"title": "a catchy game title",
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"description": "2 to 3 sentences describing how the game works",
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"rules": "3 to 5 short, simple rules a beginner could follow, written as one string",
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"cards": [
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{"name": "card name", "type": "card type", "effect": "short special ability"},
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{"name": "card name", "type": "card type", "effect": "short special ability"},
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{"name": "card name", "type": "card type", "effect": "short special ability"},
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{"name": "card name", "type": "card type", "effect": "short special ability"}
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]
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}
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Keep everything short, simple, and beginner-friendly. Always include exactly 4 cards."""
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def extract_json(text):
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"""Pulls out the {...} portion of a string, in case the model added extra text around it."""
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start = text.find("{")
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end = text.rfind("}")
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if start == -1 or end == -1:
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raise ValueError("No JSON object found in the model's reply.")
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return text[start:end + 1]
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def generate_game_with_llm(theme):
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"""Asks the language model to design the game and returns it as a dictionary."""
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user_prompt = f"Theme: {theme}\nDesign the card game now."
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raw_reply = ask_llm(SYSTEM_PROMPT, user_prompt)
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json_text = extract_json(raw_reply)
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game_data = json.loads(json_text)
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required_keys = {"title", "description", "rules", "cards"}
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if not required_keys.issubset(game_data.keys()):
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raise ValueError("Model reply is missing required fields.")
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if len(game_data["cards"]) != 4:
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raise ValueError("Model did not return exactly 4 cards.")
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return game_data
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# ---- Fallback generator (used only if the LLM output cannot be used) ----
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TITLE_TEMPLATES = [
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"{theme} Wars",
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"The {theme} Chronicles",
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"{theme}: The Card Game",
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"Rise of the {theme}",
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"{theme} Showdown",
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]
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DESCRIPTION_TEMPLATES = [
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"In this game, players take on the role of characters caught up in a {theme} scenario. Each player uses cards to outsmart their opponents and be the first to win.",
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"Players compete in a world inspired by {theme}, drawing and playing cards to gain the upper hand. Strategy and a little luck decide the winner.",
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]
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RULES_TEMPLATE = """1. Each player starts with a hand of 4 cards.
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NAME_PARTS = [
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"Guardian", "Blade", "Shadow", "Spark", "Wanderer", "Sentinel",
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"Rebel", "Trickster", "Champion", "Outcast",
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]
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EFFECT_POOL = [
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"Steal one card from an opponent's hand.",
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"Skip your opponent's next turn.",
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"Double your score this round.",
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"Gain +3 power for the rest of the game.",
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]
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def generate_game_template(theme):
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"""Local, non-AI backup generator used only if the language model fails."""
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theme_clean = theme.strip().title()
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title = random.choice(TITLE_TEMPLATES).format(theme=theme_clean)
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return {"title": title, "description": description, "rules": rules, "cards": cards}
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def generate_game(theme):
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"""
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Main entry point. Tries the language model first, and only falls back
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to the template generator if the model's reply could not be used.
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"""
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try:
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return generate_game_with_llm(theme)
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except Exception as error:
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print(f"LLM generation could not be used, falling back to templates. Reason: {error}")
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return generate_game_template(theme)
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# ------------------------------------------------------------
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# AI artwork generator
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# ------------------------------------------------------------
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def make_placeholder_art(card):
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"""A simple backup image used if the AI art request fails, or if the
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LLM invented a card type that has no matching artwork style."""
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colors = TYPE_COLORS.get(card["type"], {"bg": (100, 100, 100)})
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img = Image.new("RGB", (512, 512), colors["bg"])
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draw = ImageDraw.Draw(img)
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def draw_card(card, art_image, theme):
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"""Composes the final card image: background, artwork, title bar, type badge, effect text.
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Card type may come from the LLM and not match a preset type; TYPE_COLORS.get()
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below falls back to a neutral gray frame in that case."""
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width, height = 500, 700
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colors = TYPE_COLORS.get(card["type"], {"bg": (60, 60, 60), "border": (255, 255, 255)})
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# ------------------------------------------------------------
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def forge_full_game(theme):
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"""Full pipeline: theme -> LLM-generated game text -> AI artwork -> designed card images."""
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| 309 |
print(f"Generating game for theme: {theme}")
|
| 310 |
game_data = generate_game(theme)
|
| 311 |
print(f"Game created: {game_data['title']}")
|
|
|
|
| 359 |
gr.Markdown("# AI BoardGame Forge")
|
| 360 |
gr.Markdown(
|
| 361 |
"Enter a theme, or select one of the example themes below, "
|
| 362 |
+
"then click Generate Game to create a mini card game with AI-generated text and artwork."
|
| 363 |
)
|
| 364 |
|
| 365 |
theme_input = gr.Textbox(
|
requirements.txt
CHANGED
|
@@ -1,3 +1,6 @@
|
|
| 1 |
gradio
|
| 2 |
requests
|
| 3 |
Pillow
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
gradio
|
| 2 |
requests
|
| 3 |
Pillow
|
| 4 |
+
transformers
|
| 5 |
+
torch
|
| 6 |
+
accelerate
|