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Update app.py
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app.py
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@@ -7,97 +7,40 @@ model = joblib.load('mushroom_classifier.pkl')
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mappings = joblib.load('mappings.pkl')
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feature_options = {
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'cap-shape':
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'cap-surface':
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'cap-color':
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'bruises':
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'odor':
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'gill-attachment':
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'gill-spacing':
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'gill-size':
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'gill-color':
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'stalk-shape':
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'stalk-root':
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'stalk-surface-above-ring':
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'stalk-surface-below-ring':
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'stalk-color-above-ring':
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'stalk-color-below-ring':
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'veil-type':
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'veil-color':
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'ring-number':
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'ring-type':
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'spore-print-color':
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'population':
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'habitat':
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}
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def predict_mushroom(features):
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numerical_features = {}
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for feature, value in features.items():
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for key, val in mappings[feature].items():
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if val == value:
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numerical_features[feature] = key
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break
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input_df = pd.DataFrame([numerical_features])
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prediction = model.predict(input_df)
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return 'Poisonous' if prediction[0] == 1 else 'Edible'
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examples = [
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{ # Death Cap
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'cap-shape': 'convex',
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'cap-surface': 'smooth',
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'cap-color': 'green',
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'bruises': 'no',
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'odor': 'foul',
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'gill-attachment': 'free',
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'gill-spacing': 'crowded',
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'gill-size': 'narrow',
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'gill-color': 'white',
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'stalk-shape': 'tapering',
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'stalk-root': 'bulbous',
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'stalk-surface-above-ring': 'smooth',
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'stalk-surface-below-ring': 'smooth',
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'stalk-color-above-ring': 'white',
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'stalk-color-below-ring': 'white',
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'veil-type': 'partial',
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'veil-color': 'white',
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'ring-number': 'one',
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'ring-type': 'pendant',
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'spore-print-color': 'white',
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'population': 'several',
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'habitat': 'woods'
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},
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{ # Edible Brown Mushroom
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'cap-shape': 'convex',
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'cap-surface': 'smooth',
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'cap-color': 'brown',
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'bruises': 'no',
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'odor': 'almond',
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'gill-attachment': 'free',
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'gill-spacing': 'crowded',
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'gill-size': 'broad',
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'gill-color': 'brown',
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'stalk-shape': 'enlarging',
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'stalk-root': 'equal',
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'stalk-surface-above-ring': 'smooth',
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'stalk-surface-below-ring': 'smooth',
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'stalk-color-above-ring': 'white',
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'stalk-color-below-ring': 'white',
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'veil-type': 'partial',
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'veil-color': 'white',
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'ring-number': 'one',
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'ring-type': 'pendant',
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'spore-print-color': 'brown',
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'population': 'numerous',
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'habitat': 'grasses'
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}
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]
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demo = gr.Interface(
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fn=predict_mushroom,
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inputs=[gr.Dropdown(choices=options, label=feature) for feature, options in feature_options.items()],
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outputs="text",
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examples=[[ex[feature] for feature in feature_options] for ex in examples],
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title="MycoNom - Mushroom Edibility Classifier",
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description="Select the mushroom features to determine if it's edible or poisonous.<br><br>**Disclaimer:** This model is for **educational purposes only** and should not be used for real-life mushroom classification or any decision-making processes related to the consumption of mushrooms. While the model performs well on the provided dataset, it has not been thoroughly validated for real-world scenarios and may not accurately detect poisonous mushrooms in all conditions. Always consult an expert or use trusted resources when identifying mushrooms."
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)
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mappings = joblib.load('mappings.pkl')
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feature_options = {
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'cap-shape': {'bell': 'b', 'conical': 'c', 'convex': 'x', 'flat': 'f', 'knobbed': 'k', 'sunken': 's'},
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'cap-surface': {'fibrous': 'f', 'grooves': 'g', 'scaly': 'y', 'smooth': 's'},
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'cap-color': {'brown': 'n', 'buff': 'b', 'cinnamon': 'c', 'gray': 'g', 'green': 'r', 'pink': 'p', 'purple': 'u', 'red': 'e', 'white': 'w', 'yellow': 'y'},
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'bruises': {'bruises': 't', 'no': 'f'},
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'odor': {'almond': 'a', 'anise': 'l', 'creosote': 'c', 'fishy': 'y', 'foul': 'f', 'musty': 'm', 'none': 'n', 'pungent': 'p', 'spicy': 's'},
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'gill-attachment': {'attached': 'a', 'descending': 'd', 'free': 'f', 'notched': 'n'},
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'gill-spacing': {'close': 'c', 'crowded': 'w', 'distant': 'd'},
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'gill-size': {'broad': 'b', 'narrow': 'n'},
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'gill-color': {'black': 'k', 'brown': 'n', 'buff': 'b', 'chocolate': 'h', 'gray': 'g', 'green': 'r', 'orange': 'o', 'pink': 'p', 'purple': 'u', 'red': 'e', 'white': 'w', 'yellow': 'y'},
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'stalk-shape': {'enlarging': 'e', 'tapering': 't'},
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'stalk-root': {'bulbous': 'b', 'club': 'c', 'cup': 'u', 'equal': 'e', 'rhizomorphs': 'z', 'rooted': 'r', 'missing': '?'},
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'stalk-surface-above-ring': {'fibrous': 'f', 'scaly': 'y', 'silky': 'k', 'smooth': 's'},
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'stalk-surface-below-ring': {'fibrous': 'f', 'scaly': 'y', 'silky': 'k', 'smooth': 's'},
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'stalk-color-above-ring': {'brown': 'n', 'buff': 'b', 'cinnamon': 'c', 'gray': 'g', 'orange': 'o', 'pink': 'p', 'red': 'e', 'white': 'w', 'yellow': 'y'},
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'stalk-color-below-ring': {'brown': 'n', 'buff': 'b', 'cinnamon': 'c', 'gray': 'g', 'orange': 'o', 'pink': 'p', 'red': 'e', 'white': 'w', 'yellow': 'y'},
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'veil-type': {'partial': 'p', 'universal': 'u'},
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'veil-color': {'brown': 'n', 'orange': 'o', 'white': 'w', 'yellow': 'y'},
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'ring-number': {'none': 'n', 'one': 'o', 'two': 't'},
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'ring-type': {'cobwebby': 'c', 'evanescent': 'e', 'flaring': 'f', 'large': 'l', 'none': 'n', 'pendant': 'p', 'sheathing': 's', 'zone': 'z'},
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'spore-print-color': {'black': 'k', 'brown': 'n', 'buff': 'b', 'chocolate': 'h', 'green': 'r', 'orange': 'o', 'purple': 'u', 'white': 'w', 'yellow': 'y'},
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'population': {'abundant': 'a', 'clustered': 'c', 'numerous': 'n', 'scattered': 's', 'several': 'v', 'solitary': 'y'},
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'habitat': {'grasses': 'g', 'leaves': 'l', 'meadows': 'm', 'paths': 'p', 'urban': 'u', 'waste': 'w', 'woods': 'd'}
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}
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def predict_mushroom(features):
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numerical_features = {feature: feature_options[feature][value] for feature, value in features.items()}
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input_df = pd.DataFrame([numerical_features])
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prediction = model.predict(input_df)
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return 'Poisonous' if prediction[0] == 1 else 'Edible'
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demo = gr.Interface(
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fn=predict_mushroom,
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inputs=[gr.Dropdown(choices=list(options.keys()), label=feature) for feature, options in feature_options.items()],
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outputs="text",
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title="MycoNom - Mushroom Edibility Classifier",
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description="Select the mushroom features to determine if it's edible or poisonous.<br><br>**Disclaimer:** This model is for **educational purposes only** and should not be used for real-life mushroom classification or any decision-making processes related to the consumption of mushrooms. While the model performs well on the provided dataset, it has not been thoroughly validated for real-world scenarios and may not accurately detect poisonous mushrooms in all conditions. Always consult an expert or use trusted resources when identifying mushrooms."
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)
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