Update src/main.py

src/main.py

@@ -12,8 +12,8 @@ def index():
     global dataset, vocabulary_list, dict_2000_tokens, nlp, dict_docs_spacy
 
     dataset, vocabulary_list = dg.load_data()
-    #dict_2000_tokens = dataset["gloss"].unique()
-    #nlp, dict_docs_spacy = sp.load_spacy_values()
+    dict_2000_tokens = dataset["gloss"].unique()
+    nlp, dict_docs_spacy = sp.load_spacy_values()
 
     return render_template('index.html')
 
@@ -21,11 +21,11 @@ def index():
 def result():
     if request.method == 'POST':
         sentence = request.form['inputSentence']
-        #eng_to_asl_translator = NlpSpacyBaseTranslator(sentence=sentence)
-        #generated_gloss = eng_to_asl_translator.translate_to_gloss()
-        #gloss_list_lower = [gloss.lower() for gloss in generated_gloss.split() if gloss.isalnum() ]
-        #gloss_list = gloss_list_lower
-        gloss_list = sentence.split()
+        eng_to_asl_translator = NlpSpacyBaseTranslator(sentence=sentence)
+        generated_gloss = eng_to_asl_translator.translate_to_gloss()
+        gloss_list_lower = [gloss.lower() for gloss in generated_gloss.split() if gloss.isalnum() ]
+        gloss_list = gloss_list_lower
+        #gloss_list = sentence.split()
         #print('gloss before synonym:', gloss_list_lower)
         #gloss_list = [sp.find_synonyms(gloss, nlp, dict_docs_spacy, dict_2000_tokens) for gloss in gloss_list_lower]
         #print('synonym list:', gloss_list)