Create app.py

app.py

@@ -0,0 +1,16 @@
+from transformers import AutoModelForQuestionAnswering, AutoTokenizer, pipeline
+import gradio as grad
+import ast
+
+mdl_name = "deepset/roberta-base-squad2"
+
+my_pipeline = pipeline('question-answering', model=mdl_name, tokenizer=mdl_name)
+
+def answer_question(question,context):
+    text = "{"+"'question': '"+question+"','context':'"+context+"'}"
+
+    di = ast.literal_eval(text)
+    response = my_pipeline(di)
+    return response
+
+grad.Interface(answer_question, input=["text","text"], outputs="text").launch()