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import nltk from nltk.tokenize import word_tokenize from tensorflow.keras.models import Sequential from tensorflow.keras.layers import Dense # NLP-Modell erstellen nlp_model = nltk.NaiveBayesClassifier() # Machine-Learning-Modell erstellen ml_model = Sequential() ml_model.add(Dense(64, activation=’relu’, input_shape=(100,))) ml_model.add(Dense(64, activation=’relu’)) ml_model.add(Dense(1, activation=’sigmoid’)) # Kommunikationsschnittstelle erstellen app = Flask(__name__) @app.route(‘/improve_code’,…Continue reading