Create app.py

app.py

@@ -0,0 +1,26 @@
+import os
+import sys
+from transformers import pipeline
+import gradio as gr
+
+model = pipeline('question-answering', model='deepset/tinyroberta-squad2', tokenizer='deepset/tinyroberta-squad2')
+
+def qa(passage, question):
+    question = question
+    context = passage
+    nlp_input = {
+        'question': question,
+        'context': context
+    }
+
+    return model(nlp_input)['answer']
+
+passage = "The quick brown fox jumped over the lazy dog."
+question = "Who jumps over the lazy dog?"
+
+iface = gr.Interface(qa,
+                        title="Question Answering using RoBERTa",
+                        inputs=[gr.inputs.Textbox(lines=15), "text"],
+                        outputs=["text"],
+                        examples=[["{}".format(passage), "{}".format(question)]])
+iface.launch()