#print (labels) dirName = 'D:\\xampp\\htdocs\\mtlbl\\webpage\\models\\' + model_name #os.mkdir(dirName) model_path = dirName + '\\' + model_name scaler_path = dirName + '\\scaler_' + model_name keras_path = dirName + '\\keras_'+ model_name + '.h5' #print (model_path) #print (keras_path) #print (scaler_path) from magpie import Magpie magpie = Magpie() magpie = Magpie( keras_model=keras_path, word2vec_model=model_path, scaler= scaler_path, labels = labelsa ) #filePath = 'D:\\xampp\\htdocs\\mtlbl\\webpage\\admin\\classify' + model_name + '\\' + '.txt' path= 'D:\\xampp\\htdocs\\mtlbl\\webpage\\admin\\classify\\' + model_name + '\\' + val #print(path) print (magpie.predict_from_file(path)) #test #magpie.predict_from_text('Manchester United vs Chelsea')
from __future__ import print_function from magpie import Magpie import os dir_path = os.path.dirname(os.path.realpath(os.getcwd())) dir_path = os.path.join(dir_path, 'text-classification') labels = open('thread_labels.labels', 'r').read().splitlines() magpie = Magpie(keras_model='saved_data/model_main', word2vec_model='saved_data/word2_vec_model', scaler='saved_data/scaler', labels=labels) result = magpie.predict_from_file('test.txt')