Delete para_ans_app.py

para_ans_app.py

@@ -1,51 +0,0 @@
-import wikipedia
-import gradio as gr
-from gradio.mix import Parallel
-import requests
-import nltk
-from nltk.tokenize import word_tokenize
-from nltk.tokenize import sent_tokenize
-import re
-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",","]
-  lower_text = text.lower()
-  lower_text = word_tokenize(lower_text)
-  new_text = [i for i in lower_text if i not in question_words]
-  new_txt = "".join(new_text)
-
-  r = requests.post(
-      url="https://jaimin-new-content.hf.space/run/predict",
-      json={"data": [new_txt, "en"]},
-    )
-  response = r.json()
-  text1 = response["data"]
-  final_out = text1[0]
-  final_out=re.sub(r'\=.+\=', '', final_out)
-
-  result = list(filter(lambda x: x != '', final_out.split('\n\n')))
-
-  answer = []
-  for i in range(6):
-      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]))
-  gen_output = []
-  for i in range(len(l)):
-      gen_output.append(l[i] + ".")
-
-  listToStr = ' '.join([str(elem) for elem in gen_output])
-  listToStr=listToStr.replace("\n","")
-  return listToStr
-iface = gr.Interface(fn=opendomain, inputs=[gr.inputs.Textbox(lines=5)], outputs="text")
-iface.launch()
-