Update app.py

app.py

@@ -1,3 +1,4 @@
+from gensim.parsing.preprocessing import STOPWORDS
 import wikipedia
 import gradio as gr
 from gradio.mix import Parallel
@@ -10,10 +11,7 @@ nltk.download('punkt')
 
 
 def opendomain(text):
-  question_words = ["what", "why", "when", "where","name", "is", "how", "do", "does",
-                    "which", "are", "could", "would","should", "has", "have", "whom",
-                    "whose", "don't", "a", "an","?",".","the","i","you","he","she","it",
-                    "that","this",",","am",","]
+  question_words = STOPWORDS.union(set(['likes','play','.',',','like',"don't",'?','use','choose','important','better','?']))
   lower_text = text.lower()
   lower_text = word_tokenize(lower_text)
   new_text = [i for i in lower_text if i not in question_words]
@@ -35,7 +33,6 @@ def opendomain(text):
       if len(result[i]) > 500:
           summary_point=result[i].split(".")[0]
           answer.append(summary_point)
-
   l = []
   for i in range(len(answer)):
       l.append("".join(answer[i]))
@@ -44,8 +41,12 @@ def opendomain(text):
       gen_output.append(l[i] + ".")
 
   listToStr = ' '.join([str(elem) for elem in gen_output])
-  listToStr=listToStr.replace("\n","")
+  listToStr = listToStr.replace("\n", "")
   return listToStr
+  #return final_answer
+
+
 iface = gr.Interface(fn=opendomain, inputs=[gr.inputs.Textbox(lines=5)], outputs="text")
 iface.launch()
 
+