Create app.py

app.py

@@ -0,0 +1,31 @@
+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
+
+def q_a(lang,text,question):
+  if lang == 'Arabic': # if user select 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
+
+  elif lang == 'English': # user select english
+    myinput = {
+    'question': question,
+    'context':text
+    }
+    return pipe_en(myinput)['answer'] #use english model
+
+
+
+
+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
+)
+app.launch()