Initial Commit

app.py

@@ -43,4 +43,5 @@ result=nlp_QA(QA_inp)
 question='How many parameters does Bert large have?'
 context='Bert large is really big... it has 24 layers, for a total of 340M parameters.Altogether it is 1.34 GB so expect it to take a couple minutes to download to your Colab instance.'
 title = 'Question Answering demo with Albert QA transformer and gradio'
-interface = gr.Interface.from_pipeline(inference,title = title,theme = "peach",examples = [[context, question]]).launch()
+gr.Interface(inference,inputs=[gr.inputs.Textbox(lines=7, default=context, label="context"), gr.inputs.Textbox(lines=2, default=question, label="question")],
+             outputs=[gr.outputs.Textbox(label="answer"), gr.outputs.Textbox(label="Score")],title = title,theme = "peach").launch()