Create app.py

app.py

@@ -0,0 +1,16 @@
+from transformers import pipeline
+import gradio as gr
+pipe = pipeline("fill-mask", model="sagorsarker/bangla-bert-base")
+
+
+def image_classifier(inp):
+
+    dat=pipe(inp)
+    suggested_word=[]
+    for x in dat:
+      suggested_word.append(x['token_str']+"                    "+str(x['score']))
+    return 'Word'+"                    "+'Perchantage\n'+'\n '.join(suggested_word)
+
+
+demo = gr.Interface(fn=image_classifier,inputs="text", outputs="text")
+demo.launch()