[update]threshold

app.py

@@ -7,21 +7,19 @@ model = "cc.en.300.bin"
 model = fasttext.load_model(model)
 
 def get_cosine(a, b):
-    # vectorize
-    # a = model.get_word_vector(a.lower())
-    # b = model.get_word_vector(b.lower())
     cosine_similarity = np.dot(a, b) / (np.linalg.norm(a) * np.linalg.norm(b))
     return cosine_similarity
 
 
-def get_score(targets, answers):
+def get_score(targets, answers, th):
+    th = float(th)
 
     results = []
     targets = targets.split(",")
     target_len = len(targets)
     answers = answers.split(",")
 
-    th = 0.6
+    # th = 0.6
     for i, target in enumerate(targets):
         if target[0]==" ": target=target[1:]
         # if i>2:break
@@ -50,12 +48,13 @@ def get_score(targets, answers):
     return result
 
 
-def my_app(input1, input2):
-    return get_score(input1, input2)
+def my_app(targets, answers, th):
+    return get_score(targets, answers, th)
 
 inputs = [
-    components.Textbox(label="Input 1"),
-    components.Textbox(label="Input 2")
+    components.Textbox(label="Targets"),
+    components.Textbox(label="Answers"),
+    components.Textbox(label="Threshold", value=0.6),
 ]
 output = components.Textbox(label="Output")