app.py

app.py

@@ -1,12 +0,0 @@
-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()