cleaned up

app.py

@@ -108,50 +108,8 @@ def prep_examples():
 
     return examples
 
-def detect_lang(sequence, labels):
-    DetectorFactory.seed = 0
-    seq_lang = 'en'
-    
-    sequence = sequence.replace('\n', ' ')
-
-    try:
-        #seq_lang = detect(sequence)
-        #lbl_lang = detect(labels)
-        seq_lang = fasttext_model.predict(sequence, k=1)[0][0].split("__label__")[1]
-        lbl_lang = fasttext_model.predict(labels, k=1)[0][0].split("__label__")[1]
-    except:
-        print("Language detection failed!",
-              "Date:{}, Sequence:{}, Labels:{}".format(
-                  str(datetime.datetime.now()),
-                  labels))
-
-    if seq_lang != lbl_lang:
-        print("Different languages detected for sequence and labels!",
-              "Date:{}, Sequence:{}, Labels:{}, Sequence Language:{}, Label Language:{}".format(
-                  str(datetime.datetime.now()),
-                  sequence,
-                  labels,
-                  seq_lang,
-                  lbl_lang))
-
-    if seq_lang in models:
-        print("Sequence Language detected.",
-              "Date:{}, Sequence:{}, Sequence Language:{}".format(
-                  str(datetime.datetime.now()),
-                  sequence,
-                  seq_lang))
-    else:
-        print("Language not supported. Defaulting to English!",
-              "Date:{}, Sequence:{}, Sequence Language:{}".format(
-                  str(datetime.datetime.now()),
-                  sequence,
-                  seq_lang))
-        seq_lang = 'en'
-
-    return seq_lang
-
 def sequence_to_classify(sequence, labels, multi_label):
-    lang = 'en' #detect_lang(sequence, labels)
+    lang = 'en'
     classifier = classifiers[lang]
 
     label_clean = str(labels).split(";;")