Upload mtgpt2.py
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mtgpt2.py
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# -*- coding: utf-8 -*-
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"""MtGPT2
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Automatically generated by Colaboratory.
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Original file is located at
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https://colab.research.google.com/drive/1HMq9Cp_jhqc9HlUipLXi8SC1mHQhSgGn
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"""
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#@title Setup + Download Model
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# Install and load dependencies
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import locale
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locale.getpreferredencoding = lambda: "UTF-8"
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!pip install aitextgen
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!pip install pytorch-lightning==1.7.0
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import sys
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from jinja2 import Template
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from aitextgen import aitextgen
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try:
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from google.colab import files
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except ImportError:
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pass
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# Download and load the model. Set to_gpu=False if running on a CPU.
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ai = aitextgen(model="minimaxir/magic-the-gathering", to_gpu=True)
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# This template is similar to Scryfall card formatting
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TEMPLATE = Template(
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"""{{ c.name }}{% if c.manaCost %} {{ c.manaCost }}{% endif %}
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{{ c.type }}
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{{ c.text }}{% if c.power %}
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{{ c.power }}/{{ c.toughness }}{% endif %}{% if c.loyalty %}
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Loyalty: {{ c.loyalty }}{% endif %}"""
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)
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def render_card(card_dict):
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card = TEMPLATE.render(c=card_dict)
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if card_dict["name"]:
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card = card.replace("~", card_dict["name"])
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return card
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prompt="\u003C|type|>Creature - Human \u003C|name|>Rezo the Destroyer of Politics \u003C|manaCost|> 2 {B/G}" #@param {type:"string"}
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temperature = 0.7 #@param {type:"slider", min:0.1, max:1.2, step:0.1}
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to_file = False #@param {type:"boolean"}
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n = 100 if to_file else 8
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cards = ai.generate(n=n,
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schema=True,
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prompt=prompt,
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temperature=temperature,
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return_as_list=True)
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cards = list(map(render_card, cards))
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if to_file:
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file_path = "cards.txt"
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with open(file_path, "w", encoding="utf-8") as f:
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for card in cards:
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f.write("{}\n{}".format(card, "=" * 20 + "\n"))
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if "google.colab" in sys.modules:
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files.download(file_path)
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else:
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print(("\n" + "=" * 20 + "\n").join(cards))
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def generate_cards(
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n_cards: int = 8,
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temperature: float = 0.75,
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name: str = "",
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manaCost: str = "",
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type: str = "",
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text: str = "",
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power: str = "",
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toughness: str = "",
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loyalty: str = ""
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):
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#ensure n_cards is never 0 or negative
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n_cards = int(n_cards)
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if n_cards < 1:
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n_cards = 1
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#change manaCost from Format:
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# 2UG
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#to:
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#{2}{U}{G}
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manaCost_str = ""
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for char in manaCost:
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manaCost_str += "{"
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manaCost_str += char
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manaCost_str += "}"
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prompt_str = ""
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token_dict = {
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"<|name|>": name,
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"<|manaCost|>": manaCost_str,
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"<|type|>": type,
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"<|text|>": text,
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"<|power|>": power,
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"<|toughness|>": toughness,
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"<|loyalty|>": loyalty
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}
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# Convert the token_dict into a formatted prompt string
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for token, value in token_dict.items():
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if value:
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prompt_str += f"{token}{value}"
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# Generate the cards using the prompt string and other parameters
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cards = ai.generate(
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n=n_cards,
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schema=True,
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prompt=prompt_str,
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temperature=temperature,
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return_as_list=True
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)
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cards = list(map(render_card, cards))
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out_str = "\n=====\n".join(cards)
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replacements = {
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"{G}": "🌲",
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"{U}": "🌊",
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"{R}": "🔥",
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"{B}": "💀",
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"{W}": "☀️",
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"{T}": "↩️",
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#"{1}": "1⃣️",
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#"{2}": "2⃣️",
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#"{3}": "3⃣️",
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#"{4}": "4⃣️",
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#"{5}": "5⃣️",
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#"{6}": "6⃣️",
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#"{7}": "7⃣️",
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#"{8}": "8⃣️",
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#"{9}": "9⃣️",
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}
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for key, value in replacements.items():
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out_str = out_str.replace(key, value)
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return out_str
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# Commented out IPython magic to ensure Python compatibility.
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# %pip install gradio
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import gradio as gr
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iface = gr.Interface(
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fn = generate_cards,
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inputs=[
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gr.Slider(minimum = 2, maximum=16, step=1, value=8),
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gr.Slider(minimum = 0.1, maximum=1.5, step=0.01, value=0.75),
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gr.Textbox(),
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gr.Textbox(),
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gr.Textbox(),
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gr.Textbox(),
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gr.Textbox(),
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gr.Textbox(),
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gr.Textbox(),
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],
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outputs=gr.Textbox(),
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title = "GPT-2 Powered MTG Card Generator",
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description = "Enter Manacost as '2UG' for 2 colorless + Blue + Green mana. \n\n Temperature is recomended between 0.4 and 0.9. Anything above 1 will lead to random Chaos and very low values will just be boring."
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)
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iface.launch()
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