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from flask import Flask, render_template, jsonify, request | |
import json | |
import random | |
from transformers import AutoTokenizer, AutoModelForCausalLM | |
import torch | |
import os | |
# Set the TRANSFORMERS_CACHE environment variable | |
os.environ['TRANSFORMERS_CACHE'] = '/app/cache' | |
app = Flask(__name__) | |
# Load initial coins | |
with open('coins.json', 'r') as f: | |
coins = json.load(f) | |
# Initialize game state | |
game_state = { | |
'balance': 0, | |
'flips_left': 1000, | |
'current_coin': 0 | |
} | |
# Load leaderboard | |
try: | |
with open('leaderboard.json', 'r') as f: | |
leaderboard = json.load(f) | |
except FileNotFoundError: | |
leaderboard = [] | |
# Load AI model | |
tokenizer = AutoTokenizer.from_pretrained("TinyLlama/TinyLlama-1.1B-Chat-v1.0") | |
model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama-1.1B-Chat-v1.0") | |
def index(): | |
return render_template('index.html', coins=coins, game_state=game_state, leaderboard=leaderboard) | |
def flip_coin(): | |
if game_state['flips_left'] > 0: | |
coin = coins[game_state['current_coin']] | |
is_heads = random.random() < coin['winrate'] | |
if is_heads: | |
game_state['balance'] += coin['value'] | |
game_state['flips_left'] -= 1 | |
# Apply coin ability if it exists | |
if 'ability' in coin: | |
ability_effect(coin['ability']) | |
return jsonify({ | |
'result': 'H' if is_heads else 'T', | |
'balance': game_state['balance'], | |
'flips_left': game_state['flips_left'] | |
}) | |
return jsonify({'error': 'No flips left'}) | |
def buy_coin(): | |
index = int(request.json['index']) | |
if index < len(coins) and game_state['balance'] >= coins[index]['price'] and index != game_state['current_coin']: | |
game_state['balance'] -= coins[index]['price'] | |
game_state['current_coin'] = index | |
return jsonify({'success': True, 'balance': game_state['balance']}) | |
return jsonify({'success': False}) | |
def generate_coin(): | |
if game_state['balance'] < 4: | |
return jsonify({'success': False, 'error': 'Not enough balance to generate a coin'}) | |
prompt = """Generate a new coin for a game in JSON format with the following properties: | |
name (a creative name for the coin), | |
color (as a hex code), | |
price (higher than 10), | |
value (higher than 0.1), | |
winrate (between 0.5 and 0.8), | |
ability (a unique effect that modifies game state, e.g., 'add 5 flips', 'double next flip value', etc.) | |
Example: | |
{ | |
"name": "Lucky Clover", | |
"color": "#2ecc71", | |
"price": 15, | |
"value": 0.2, | |
"winrate": 0.65, | |
"ability": "add 3 flips on every 10th flip" | |
} | |
""" | |
inputs = tokenizer(prompt, return_tensors="pt") | |
with torch.no_grad(): | |
outputs = model.generate(**inputs, max_length=300) | |
response = tokenizer.decode(outputs[0], skip_special_tokens=True) | |
try: | |
new_coin = json.loads(response) | |
if validate_coin(new_coin): | |
coins.append(new_coin) | |
with open('coins.json', 'w') as f: | |
json.dump(coins, f) | |
game_state['balance'] -= 4 | |
return jsonify({'success': True, 'coin': new_coin, 'balance': game_state['balance']}) | |
else: | |
return jsonify({'success': False, 'error': 'Invalid coin format'}) | |
except json.JSONDecodeError: | |
return jsonify({'success': False, 'error': 'Invalid JSON format'}) | |
def game_over(): | |
initials = request.json['initials'] | |
score = game_state['balance'] | |
leaderboard.append({'initials': initials, 'score': score}) | |
leaderboard.sort(key=lambda x: x['score'], reverse=True) | |
leaderboard = leaderboard[:10] # Keep only top 10 | |
with open('leaderboard.json', 'w') as f: | |
json.dump(leaderboard, f) | |
return jsonify({'success': True}) | |
def reset_game(): | |
game_state['balance'] = 0 | |
game_state['flips_left'] = 1000 | |
game_state['current_coin'] = 0 | |
return jsonify({'success': True}) | |
def validate_coin(coin): | |
required_keys = ['name', 'color', 'price', 'value', 'winrate', 'ability'] | |
return all(key in coin for key in required_keys) and \ | |
isinstance(coin['name'], str) and \ | |
isinstance(coin['color'], str) and coin['color'].startswith('#') and \ | |
isinstance(coin['price'], (int, float)) and coin['price'] > 10 and \ | |
isinstance(coin['value'], (int, float)) and coin['value'] > 0.1 and \ | |
isinstance(coin['winrate'], (int, float)) and 0.5 <= coin['winrate'] <= 0.8 and \ | |
isinstance(coin['ability'], str) | |
def ability_effect(ability): | |
# Implement ability effects here | |
if "add" in ability and "flips" in ability: | |
flips_to_add = int(ability.split()[1]) | |
game_state['flips_left'] += flips_to_add | |
elif "double next flip value" in ability: | |
# This would need to be handled in the flip_coin function | |
pass | |
# Add more ability effects as needed | |
if __name__ == '__main__': | |
app.run(host='0.0.0.0', port=7860) |