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import os
import json
import requests
from requests.auth import HTTPBasicAuth

# API Key stored as an env variable
PLANET_API_KEY = os.getenv('PL_API_KEY') # replace PL_API_KEY with Planet API key in quotes

item_type = "PSScene4Band"

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download_link = activation_status_result.json()["location"]
print(download_link)

  

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def plot_image(i, predictions_array, true_label, img):
  predictions_array, true_label, img = predictions_array[i], true_label[i], img[i]
  plt.grid(False)
  plt.xticks([])
  plt.yticks([])
  
  plt.imshow(img, cmap=plt.cm.binary)

  predicted_label = np.argmax(predictions_array)
  if predicted_label == true_label:

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config = """
language: "en"

pipeline:
- name: "nlp_spacy"                   # loads the spacy language model
- name: "tokenizer_spacy"             # splits the sentence into tokens
- name: "ner_crf"                   # uses the pretrained spacy NER model
- name: "intent_featurizer_spacy"     # transform the sentence into a vector representation
- name: "intent_classifier_sklearn"   # uses the vector representation to classify using SVM
- name: "ner_synonyms"                # trains the synonyms

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domain_yml = """
intents:
- greet
- goodbye
- mood_affirm
slots:
  group:
    type: text
    
entities: