Update for Bangla

app.py

@@ -1,12 +1,13 @@
 import torch
 from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
-model = AutoModelForSeq2SeqLM.from_pretrained("Mihakram/AraT5-base-question-generation")
-tokenizer = AutoTokenizer.from_pretrained("Mihakram/AraT5-base-question-generation")  
+model_name = "Tahsin-Mayeesha/squad-bn-mt5-base2"
+model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained(model_name)  
 
 
 import gradio as gr
 def generate__questions(context,answer):
-  text="context: " +context + " " + "answer: " + answer + " </s>"
+  text='answer: '+answer + ' context: ' + context
   text_encoding = tokenizer.encode_plus(
       text,return_tensors="pt"
   )
@@ -24,6 +25,6 @@ def generate__questions(context,answer):
 demo = gr.Interface(fn=generate__questions, inputs=[gr.Textbox(label='Context'),
                                                     gr.Textbox(label='Answer')] ,
                                                     outputs=gr.Textbox(label='Question'),
-                                                    title="Arabic Question Generation",
+                                                    title="Bangla Question Generation",
                                                     description="Get the Question from given Context and an Answer")
 demo.launch()