Text Cleaning code Updated

cgp1/CgpApp/summarizer.py

@@ -105,7 +105,19 @@ 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