merge

dash_app/callbacks.py

@@ -41,6 +41,7 @@ def update_base_word(submit_word_button, base_word_input):
     State(component_id='graph-elements-div', component_property='children'),
     State(component_id='msx-graph', component_property='tapNodeData'),
     State(component_id='base-word-div', component_property='children'),
+    # State(component_id='msx-graph', component_property='zoom'),
     prevent_initial_call=True
 )
 def update_graph_elements(submit_word_button, add_word_button, extend_graph_button, remove_word_button, base_word_input,
@@ -50,6 +51,7 @@ def update_graph_elements(submit_word_button, add_word_button, extend_graph_butt
     button_id = callback_context.triggered[0]['prop_id'].split('.')[0]
 
     graph = Graph()
+    # print('graph zoom level: ', graph_zoom_level)
 
     if button_id == 'submit-word-button':
         graph.fill_with_associations(word2vec_model, base_word_input)

dash_app/index.py

 import os
 from dash_app.app import app
 from dash_app.layout import layout
-import dash_app.callbacks
 
 
 app.layout = layout

dash_app/words.py

@@ -5,13 +5,13 @@ import stringdist as sdi
 class AssociatedWords:
 
     def __init__(self):
-        print("\n Word2Vec model is loading.This can take a couple of minutes.")
-        self.model = api.load('glove-twitter-200')
-        print(" Word2Vec model is ready. Enjoy!!!\n")
+        print("\n Word2Vec model is loading. This can take a couple of minutes.")
+        # self.model = api.load('glove-twitter-200')
+        # print(" Word2Vec model is ready. Enjoy!!!\n")
 
     def get_associated_words(self, word, top_n=10):
-        gensim_result = self.model.most_similar(word, topn=top_n)
-        # gensim_result = [('apple', 1.0), ('banana', 1.0), ('strawberry', 1.0)]
+        # gensim_result = self.model.most_similar(word, topn=top_n)
+        gensim_result = [('apple', 1.0), ('banana', 1.0), ('strawberry', 1.0)]
         words = self.filter_results(gensim_result, word)
         return words