Text Cleaning code Edited

cgp1/CgpApp/summarizer.py

@@ -105,19 +105,7 @@ class Summarizer_:
                 x = re.sub(r"([^A-Za-z0-9\s](\s)){2,}", "", x)
 
                 return(x.replace("  ", " "))
-            summaryCleaned = clean_text(summary)
-            # Process the text (to find Out dependencies and hirerachy of the text)
-            spacy.prefer_gpu()
-            nlp = spacy.load("en_core_web_sm")
-            doc = nlp(summaryCleaned)
-            lll = doc
-            # print("look here:::::::::::::::::", doc)
-            print("Input Description:")
-            print(text)
-            # print(lll)
-        else:
-            print("")
-        return "Summarized result: \n" + str(lll)
+           
 
 #Price_Analizer