Update app.py

app.py

@@ -80,12 +80,12 @@ def gr_cosine_similarity(sentence1, sentence2):
   dot_product = dot(v1, v2)
 
    # define df
-  df = pd.DataFrame(list(zip(lines_s,labels, anger, disgust, fear, joy, neutral, sadness, surprise)), 
+  df = pd.DataFrame(list(zip(lines_s, labels, anger, disgust, fear, joy, neutral, sadness, surprise)), 
   columns=['text', 'max_label', 'anger', 'disgust', 'fear', 'joy', 'neutral', 'sadness', 'surprise'])
 
   # compute cosine similarity
   # is dot product of vectors n / norms 1*..*n vectors
-  cosine_similarity = dot_product / (norm(v1) * norm(v2))
+  cosine_similarity = round(dot_product / (norm(v1) * norm(v2)), 3)
 
 
   # return dataframe for space output
@@ -95,8 +95,8 @@ def gr_cosine_similarity(sentence1, sentence2):
 
 gr.Interface(gr_cosine_similarity,
                    [
-                    gr.inputs.Textbox(lines=1, placeholder="", default="This movie always makes me cry..", label="Text 1"),
-                    gr.inputs.Textbox(lines=1, placeholder="", default="Her dog is sad.", label="Text 2"),
+                    gr.inputs.Textbox(lines=1, placeholder="This tool is awesome!", default="", label="Text 1"),
+                    gr.inputs.Textbox(lines=1, placeholder="I am so happy right now.", default="", label="Text 2"),
 
                                          ],
                    ["dataframe","text"]