Upload Keyword comparing algorithm class

Comparing.py

+import spacy
+import string
+from spacy.lang.en.stop_words import STOP_WORDS
+from string import punctuation
+
+nlp = spacy.load("en_core_web_sm")
+
+stopwords = list(STOP_WORDS)
+punctuation = punctuation + '\n'
+
+Topic = nlp("black")
+text2 = open("student_answer.txt", encoding="utf-8").read()
+lower_case2 = text2.lower()
+cleaned_text2 = lower_case2.translate(str.maketrans('', '', string.punctuation))
+Content = nlp(cleaned_text2)
+Total_similarity = 0
+
+for token1 in Content:
+    if token1.text.lower() not in stopwords:
+        if token1.text.lower() not in punctuation:
+            for token2 in Topic:
+                print((token1.text, token2.text), "similarity", token1.similarity(token2))
+                Total_similarity = Total_similarity + token1.similarity(token2)
+                if token1.similarity(token2) > 0.8:
+                    print("Similar")
+
+print(len(Content))
+print(Total_similarity)
+average_similarity = Total_similarity / len(Content)
+print(average_similarity)
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