remove temp file

data/temp2641556c-c998-47a1-b2c1-b5154c3176b6.txt

@@ -0,0 +1 @@
+Isn't there one of the ten commandments that says something like "you shall not bear false witness?"  And doesn't quoting someone in a way that completely inverts what they were trying to say constitute bearing false witness?  Doesn't this cause you any internal conflict at all?

data/temp61f73890-73f4-4d0b-b11b-5b272c5bdadc.txt

@@ -0,0 +1 @@
+Isn't there one of the ten commandments that says something like "you shall not bear false witness?"  And doesn't quoting someone in a way that completely inverts what they were trying to say constitute bearing false witness?  Doesn't this cause you any internal conflict at all?

data/temp6a367738-9681-42ef-b94a-af4b6d89121e.txt

@@ -0,0 +1 @@
+Isn't there one of the ten commandments that says something like "you shall not bear false witness?"  And doesn't quoting someone in a way that completely inverts what they were trying to say constitute bearing false witness?  Doesn't this cause you any internal conflict at all?

data/tempa78dbc28-8ddc-4a85-b90d-56e684133149.txt

@@ -0,0 +1 @@
+che posto ragazzi! una cucina ricercata in piccolo cortile d'altri tempi. bellissimo, buonissimo, bravissimi. prenotare con largo anticipo.

data/tempa7e3e3a8-f2a2-4f25-bc9b-89e65e3b4c98.txt

@@ -0,0 +1 @@
+Isn't there one of the ten commandments that says something like "you shall not bear false witness?"  And doesn't quoting someone in a way that completely inverts what they were trying to say constitute bearing false witness?  Doesn't this cause you any internal conflict at all?

data/tempc1c5bff7-30cd-4b53-9154-c9346cd2338c.txt

@@ -0,0 +1 @@
+Isn't there one of the ten commandments that says something like "you shall not bear false witness?"  And doesn't quoting someone in a way that completely inverts what they were trying to say constitute bearing false witness?  Doesn't this cause you any internal conflict at all?

data/tempeab0fb33-01c3-4e02-9859-0720aeeae9dd.txt

@@ -0,0 +1 @@
+Isn't there one of the ten commandments that says something like "you shall not bear false witness?"  And doesn't quoting someone in a way that completely inverts what they were trying to say constitute bearing false witness?  Doesn't this cause you any internal conflict at all?

modules/multilabel_classification.py

@@ -4,9 +4,6 @@ from keras_preprocessing.sequence import pad_sequences
 import modules.utilities.utils as utils
 import keras.models as models
 import numpy as np
-import pathlib
-import uuid
-
 
 BASE_PATH = './data/'
 MODEL = BASE_PATH + 'model/'
@@ -19,31 +16,23 @@ class_names = np.array(['alt.atheism', 'comp.graphics', 'comp.os.ms-windows.misc
  'soc.religion.christian', 'talk.politics.guns', 'talk.politics.mideast',
  'talk.politics.misc', 'talk.religion.misc'])
 
-def predict(model_path, tokenizer_path, sentence, filepath):
+def predict(model_path, tokenizer_path, sentence):
     model = models.load_model(model_path, compile=False)
     tokenizer = utils.load_tokenizer(tokenizer_path)
-    file = open(filepath, 'w')
-    file.write(sentence)
-    file.close() 
-    test_files = [filepath]
     x_data = []
-    for t_f in test_files:
-        t_f_data = pathlib.Path(t_f).read_text()
-        x_data.append(t_f_data) 
+    x_data.append(sentence)
     x_tokenized = tokenizer.texts_to_sequences(x_data)
     x_pad = pad_sequences(x_tokenized, maxlen=200)
     x_t = x_pad[0]
     prediction = model.predict(np.array([x_t]))
-    predicted_label = class_names[np.argmax(prediction[0])]
-    return prediction, predicted_label
+    #predicted_label = class_names[np.argmax(prediction[0])]
+    return prediction#, predicted_label
 
 def multi_classification(text):
     model = MODEL + 'multi-classification.h5'
     tokenizer = TOKEN + 'multi-classification-tokenizer.json'
-    myuuid = uuid.uuid4()
-    filepath = BASE_PATH + 'temp' + str(myuuid) + '.txt'
     #try:
-    labels, max_label = predict(model, tokenizer, text, filepath)
+    labels = predict(model, tokenizer, text)
     response = {}
     for i, label in enumerate(labels[0]):
         response[class_names[i]] = "%.4f" % float(label)