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import gradio as gr |
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from transformers import AutoTokenizer, AutoModelForSequenceClassification, TextClassificationPipeline |
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import re |
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tokenizer = AutoTokenizer.from_pretrained("bert-base-cased") |
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model = AutoModelForSequenceClassification.from_pretrained("Qilex/colorpAI-monocolor") |
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def round_to_2(num): |
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return round(num, 2) |
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def format_output(out_list): |
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if len(out_list) == 1: |
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out_list = out_list[0] |
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for dictionary in out_list: |
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if dictionary["label"] =='W': |
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white = round_to_2(dictionary["score"]) |
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for dictionary in out_list: |
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if dictionary["label"] =='U': |
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blue = round_to_2(dictionary["score"]) |
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for dictionary in out_list: |
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if dictionary["label"] =='B': |
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black = round_to_2(dictionary["score"]) |
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for dictionary in out_list: |
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if dictionary["label"] =='R': |
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red = round_to_2(dictionary["score"]) |
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for dictionary in out_list: |
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if dictionary["label"] =='G': |
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green = round_to_2(dictionary["score"]) |
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for dictionary in out_list: |
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if dictionary["label"] =='C': |
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colorless = round_to_2(dictionary["score"]) |
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out= {} |
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out['White'] = white |
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out['Blue'] = blue |
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out['Black'] = black |
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out['Red'] = red |
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out['Green'] = green |
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out['Colorless'] = colorless |
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return out |
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def predict(card): |
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return predictor_lg(card) |
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def remove_colored_pips(text): |
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pattern = r'\{[W,U,B,R,G,C]+/*[W,U,B,R,G,C]*\}' |
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return(re.sub(pattern, '{?}', text)) |
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def preprocess_text(text): |
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return remove_colored_pips(text) |
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def categorize(Card): |
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text = preprocess_text(Card) |
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prediction = predict(text) |
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print(prediction) |
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return format_output(prediction) |
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title = "Color pAI Version 1.0" |
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description = """ |
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Color pAI is trained on around 18,000 Magic: the Gathering cards. |
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<br> |
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Input a card text using Scryfall syntax, and the model will tell evaluate which color it is most likely to be. |
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<br>Replace any card names with the word CARDNAME, and mana symbols with the uppercase letter encased U in curly brackets {U} |
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<br> |
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<br>This only works on monocolored and colorless cards. |
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<br> |
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""" |
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article = ''' |
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<br> |
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Magic: the Gathering is property of Wizards of the Coast. This project is made possible under their |
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<a href="https://company.wizards.com/en/legal/fancontentpolicy" target = 'blank'>fan content policy</a>. |
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''' |
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predictor_lg = TextClassificationPipeline(model=model, tokenizer=tokenizer, function_to_apply = 'softmax', top_k = 6) |
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gr.Interface( |
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fn=categorize, |
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inputs=gr.Textbox(lines=1, placeholder="Type card text here."), |
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outputs=gr.Label(num_top_classes=6), |
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title=title, |
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description=description, |
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article = article, |
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).launch() |
