code: def get_fileb64_image_prediction(self, model_id, filename, token=None, url=API_GET_PREDICTION_IMAGE_URL):
          
          auth = 'Bearer ' + self.check_for_token(token)        
          h = {'Authorization': auth, 'Cache-Control':'no-cache'}
          the_url = url
  
          with open(filename, "rb") as image_file:
              encoded_string = base64.b64encode(image_file.read())
  
          m = MultipartEncoder(fields={'sampleBase64Content':encoded_string, 'modelId':model_id})
          h = {'Authorization': auth, 'Cache-Control':'no-cache', 'Content-Type':m.content_type}
          r = requests.post(the_url, headers=h, data=m)
  
          return r
docs: Gets a prediction from a supplied image on your machine, by encoding the image data as b64
              and posting to the API.
              :param model_id: string, once you train a model you'll be given a model id to use.
              :param filename: string, the name of a file to be posted to the api.
              returns: requests object