How to create your Question and Answering API(Flask+Docker +BERT) using haystack framework

How to create your Question and Answering API(Flask+Docker +BERT) using haystack framework

In this article we will learn how to create your own Question and Answering(QA) API using python, flask and haystack framework with docker.

Note from author :

In this article we will learn how to create your own Question and Answering(QA) API using python, flask and haystack  framework with docker. The haystack framework will provide the complete QA features which is highly scalable and customizable. In this article Medium Rules text will be used as target document and fine tuning the model as well.

Basic Knowledge Required: Elasticsearch & Docker

This article contain the working code which can be directly build using docker.

Highlight the content of the article

  1. DocumentStores set up — Installation of Elasticsearch
  2. API Code Explanation
  3. Build the Flask API in docker
  4. Load data from the API
  5. Demonstration of the API
  6. Fine tuning a model
  7. Code tuning (Trained/Pre-Trained)
  8. Summarize Result

bert flask python docker

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