Update app.py

app.py

@@ -1,32 +1,32 @@
 pip install transformers
 from transformers import pipeline
 import gradio as gr
-pipe_ar = pipeline("question-answering",model='ZeyadAhmed/AraElectra-Arabic-SQuADv2-QA') # arabic model
-pipe_en = pipeline("question-answering",model='deepset/roberta-base-squad2') # english model
+pipe_ar = pipeline("question-answering",model='ZeyadAhmed/AraElectra-Arabic-SQuADv2-QA') 
+pipe_en = pipeline("question-answering",model='deepset/roberta-base-squad2')
 
 def q_a(lang,text,question):
-  if lang == 'Arabic': # if user select arabic
+  if lang == 'Arabic':
     myinput = {
       'question': question,
       'context':text
   }
-    return pipe_ar(myinput)['answer'] # here will use pipe_ar which is the arabic model and return the answer
+    return pipe_ar(myinput)['answer']
 
-  elif lang == 'English': # user select english
+  elif lang == 'English':
     myinput = {
     'question': question,
     'context':text
     }
-    return pipe_en(myinput)['answer'] #use english model
+    return pipe_en(myinput)['answer']
 
 
 
 
 app = gr.Interface(
     fn= q_a,
-    inputs=[gr.Radio(['Arabic', 'English'], label='Select Language',value= 'Arabic'), # radio bottom for select the language and the defult languses will be arabic
-            gr.Textbox(label = 'enter text',lines=10),# text box to enter the context
-            gr.Textbox(label = 'enter question')],# text box for enter the question
-    outputs=gr.Textbox(label = 'answer')# the output will display here
+    inputs=[gr.Radio(['Arabic', 'English'], label='Select Language',value= 'Arabic'), 
+            gr.Textbox(label = 'enter text',lines=10),
+            gr.Textbox(label = 'enter question')],
+    outputs=gr.Textbox(label = 'answer')
 )
 app.launch()