adding flask app and deploying

Procfile

@@ -0,0 +1 @@
+web: gunicorn app:app

README.md

@@ -4,3 +4,19 @@ Dependencies: nltk, numpy, torch
 Required nltk downloads:<br/>
 `nltk.download('averaged_perceptron_tagger')` <br/>
 `nltk.download('wordnet')`
+
+Examples: <br/>
+`sentence = "I tightened the bolt to make sure it didn't fall apart"` <br/>
+`word = "bolt"`
+
+`sentence = "The fast guy ran by in a bolt"` <br/>
+`word = "bolt"`
+
+`sentence = "The bolt during the thunderstorm shocked me"` <br/>
+`word = "bolt"`
+
+`sentence = "The current was too strong to swim against"` <br/>
+`word = "current"`
+
+`sentence = "The high current on the wire shocked me"` <br/>
+`word = "current"`

app.py

@@ -0,0 +1,19 @@
+from flask import Flask, request, render_template
+
+from get_synonyms import get_words, get_best_words
+
+app = Flask(__name__)
+
+
+@app.route('/')
+def index():
+    return render_template('index.html')
+
+
+@app.route('/', methods=['POST'])
+def index_post():
+    word = request.form['word']
+    sent = request.form['sent']
+    synsets = get_words(word)
+    best_words = get_best_words(word, sent, synsets)
+    return render_template('index.html', synsets=synsets, best_words=best_words, word=word, sentence=sent)

get_synonyms.py

@@ -6,13 +6,7 @@
 # nltk.download('wordnet')
 # nltk.download('punkt')
 
-from model_init import load_model
-print('loading model')
-model = load_model()
-print('model loaded')
-
-sent1 = "The current from the wire hurt"
-word1 = "current"
+from model_init import model
 
 
 def get_words(in_word):
@@ -34,36 +28,32 @@ def cosine(u, v):
     return np.dot(u, v) / (np.linalg.norm(u) * np.linalg.norm(v))
 
 
-def get_best_words(word, sent):
-    syn = get_words(word)
+def get_best_words(word, sent, syn):
     parts = re.split(f'{word}', sent)
-    oldSent = model.encode([sent])[0]
-    oldWord = word
+    old_sent = model.encode([sent])[0]
 
-    synMax = -float('inf')
-    bestWords = []
-    wordMax = -float('inf')
-    bestWord = ''
+    syn_max = -float('inf')
+    best_words = []
+    word_max = -float('inf')
+    best_word = ''
 
     for synset in syn:
         total = 0
         for w in synset:
-            newSent = f'{w}'.join(parts)
-            sim = cosine(model.encode([newSent])[0], oldSent)
-            if sim > wordMax:
-                bestWord = w
-                wordMax = sim
+            new_sent = f'{w}'.join(parts)
+            sim = cosine(model.encode([new_sent])[0], old_sent)
+            if sim > word_max:
+                best_word = w
+                word_max = sim
             total += sim
             print(f'{w} and {sim}')
         avg = total / len(synset)
         print(f'{synset} and {avg}')
-        if avg > synMax:
-            bestWords = synset
-            synMax = avg
-
-    print(bestWords)
-
-    print(f'best word indiv: {bestWord}')
+        if avg > syn_max:
+            best_words = synset
+            syn_max = avg
+    print(best_words)
 
+    print(f'best word indiv: {best_word}')
 
-get_best_words(word1, sent1)
+    return best_words

model_init.py

@@ -18,3 +18,8 @@ def load_model():
     model.build_vocab_k_words(K=100000)
     print('done building vocab')
     return model
+
+
+print('loading model')
+model = load_model()
+print('model loaded')

requirements.txt

@@ -0,0 +1,102 @@
+absl-py==0.9.0
+appnope==0.1.0
+astor==0.8.1
+astunparse==1.6.3
+attrs==19.3.0
+backcall==0.1.0
+bleach==3.1.5
+cachetools==4.1.0
+certifi==2020.4.5.1
+chardet==3.0.4
+click==7.1.2
+decorator==4.4.2
+defusedxml==0.6.0
+entrypoints==0.3
+flake8==3.7.8
+Flask==1.1.2
+future==0.18.2
+gast==0.3.3
+google-auth==1.15.0
+google-auth-oauthlib==0.4.1
+google-pasta==0.2.0
+grpcio==1.29.0
+gunicorn==20.0.4
+h5py==2.10.0
+idna==2.9
+importlib-metadata==1.6.0
+ipykernel==5.3.0
+ipython==7.14.0
+ipython-genutils==0.2.0
+ipywidgets==7.5.1
+itsdangerous==1.1.0
+jedi==0.17.0
+Jinja2==2.11.2
+joblib==0.15.1
+jsonschema==3.2.0
+jupyter==1.0.0
+jupyter-client==6.1.3
+jupyter-console==6.1.0
+jupyter-core==4.6.3
+Keras-Applications==1.0.8
+Keras-Preprocessing==1.1.2
+Mako==1.1.0
+Markdown==3.1.1
+MarkupSafe==1.1.1
+mccabe==0.6.1
+mistune==0.8.4
+nbconvert==5.6.1
+nbformat==5.0.6
+nltk==3.5
+notebook==6.0.3
+numpy==1.17.2
+oauthlib==3.1.0
+opencv-python==4.2.0.34
+opt-einsum==3.2.1
+packaging==20.4
+pandocfilters==1.4.2
+parso==0.7.0
+pdoc3==0.7.0
+pexpect==4.8.0
+pickleshare==0.7.5
+Pillow==6.0.0
+prometheus-client==0.8.0
+prompt-toolkit==3.0.5
+protobuf==3.12.2
+ptyprocess==0.6.0
+pyasn1==0.4.8
+pyasn1-modules==0.2.8
+pycodestyle==2.5.0
+pyflakes==2.1.1
+Pygments==2.6.1
+pyparsing==2.4.7
+pyrsistent==0.16.0
+python-dateutil==2.8.1
+pyzmq==19.0.1
+qtconsole==4.7.4
+QtPy==1.9.0
+regex==2020.6.8
+requests==2.23.0
+requests-oauthlib==1.3.0
+rsa==4.0
+scipy==1.4.1
+Send2Trash==1.5.0
+six==1.15.0
+tensorboard==2.2.1
+tensorboard-plugin-wit==1.6.0.post3
+tensorflow==2.2.0
+tensorflow-estimator==2.2.0
+termcolor==1.1.0
+terminado==0.8.3
+testpath==0.4.4
+torch==1.5.0
+torchvision==0.6.0
+tornado==6.0.4
+tqdm==4.46.1
+traitlets==4.3.3
+urllib3==1.25.9
+wcwidth==0.1.9
+webencodings==0.5.1
+Werkzeug==1.0.1
+widgetsnbextension==3.5.1
+wrapt==1.12.1
+zipp==3.1.0

templates/index.html

@@ -0,0 +1,15 @@
+<!doctype html>
+<title>Contextual Thesaurus</title>
+<form method="POST">
+    Word: <input name="word">
+    Sentence: <input name="sent">
+    <input type="submit">
+</form>
+{% if synsets %}
+<div>Given Word: {{word}}</div>
+<div>Given Sentence: {{sentence}}</div>
+<div>Possible Synsets: {{synsets}}</div>
+<div>Determined Synset: {{best_words}}</div>
+{% else %}
+<div>This doesnt really work that well</div>
+{% endif %}