Create dockerfile

dockerfile

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+from sentence_transformers import SentenceTransformer
+from transformers import AutoModelForQuestionAnswering, AutoTokenizer, pipeline
+
+
+model = SentenceTransformer("sentence-transformers/all-MiniLM-L6-v2")
+question_model = "deepset/tinyroberta-squad2"
+
+nlp = pipeline('question-answering', model=question_model, tokenizer=question_model)
+
+
+def modifyQuery(query_string):
+	binary_embeddings = model.encode([query_string], precision="binary")
+	return binary_embeddings[0].tolist()
+
+
+def answerQuestion(question, context):
+	QA_input = {
+		'question': question,
+		'context': context
+	}
+	res = nlp(QA_input)
+	return res['answer']