Create app.py

app.py

@@ -0,0 +1,20 @@
+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, inputs=["text","text"],outputs="text").launch()