Upload 2 files

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, inputs=["text","text"], outputs="text").launch()
+
+
+

requirements.txt

@@ -0,0 +1,3 @@
+gradio
+transformers
+torch