text: 
  from flask import request, send_file
  from flask.views import MethodView
  import json
  from extractive_summary.summary_methods.result_visualization import visualize_embedding_results
  import numpy as np
  from io import BytesIO
  import ast
  
  class VisualisationEmbeddingAPI(MethodView):
  
      def __init__(self):
          with open('config.json', 'r') as f:
              config = json.load(f)
              self.embeddings = np.load(config['embeddings_file'])
              dictionary = np.load(config['dictionary_file']).item()
              self.reverse_dictionary = dict(zip(dictionary.values(), dictionary.keys()))
  
      def get(self):
          """
          Create a summary for given text-file.
          ---
          tags:
            - summaries
          parameters:
            - in: path
              name: words
              type: list or array
              required: true
              description: words of original document
            - in: path
              name: neighbors
              type: list or array
              required: true
              description: nearest neighbors of each word in words array
          responses:
            201:
              description: Summary created
          """
          # check if the post request has the file part
          words = request.args.get('words')
          words = ast.literal_eval(words)
          neighbors = request.args.get('neighbors')
          neighbors = ast.literal_eval(neighbors)
  
          bytes_io = BytesIO()
          visualize_embedding_results(words, neighbors, self.reverse_dictionary, self.embeddings, bytes_io)
          bytes_io.seek(0)
          return send_file(bytes_io, mimetype='image/png')