Upload Keyword extracting class

KeywordExtract.py

+import spacy
+from spacy.lang.en.stop_words import STOP_WORDS
+import string
+
+nlp = spacy.load('en_core_web_sm')
+
+#def keywordExrtraction(topic, speech):
+    #Topic = nlp(topic)
+text2 = open("Essay.txt", encoding="utf-8").read()
+lower_case2 = text2.lower()
+cleaned_text2 = lower_case2.translate(str.maketrans('', '', string.punctuation))
+Content = nlp(cleaned_text2)
+stopwords = list(STOP_WORDS)
+
+punctuation = string.punctuation + '\n'
+
+word_frequencies = {}
+for word in Content:
+    if word.text.lower() not in stopwords:
+        if word.text.lower() not in punctuation:
+            if word.text not in word_frequencies.keys():
+                word_frequencies[word.text] = 1
+            else:
+                word_frequencies[word.text] += 1
+
+topicWords = []
+
+    #for words in Topic:
+        #topicWords.append(words.text)
+    # print(topicWords)
+
+
+keyWords = []
+
+print("Extracted Key Words:")
+for word in word_frequencies.keys():
+    if word_frequencies[word] >= 3:
+        keyWords.append(word)
+        print(word)
+
+    # return {
+    #     "message": keyWords,
+    #     "score": 50/100
+    # }
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