Added script for producing deployment

produce_app.py

@@ -0,0 +1,25 @@
+import numpy as np
+import topicwizard
+from sklearn.datasets import fetch_20newsgroups
+from sklearn.feature_extraction.text import CountVectorizer
+from turftopic import KeyNMF
+
+print("Fetching data")
+newsgroups = fetch_20newsgroups(
+    subset="all",
+    remove=("headers", "footers", "quotes"),
+)
+texts = newsgroups.data
+labels = list(np.array(newsgroups.target_names)[newsgroups.target])
+
+model = KeyNMF(
+    20,
+    vectorizer=CountVectorizer(
+        stop_words="english",
+        max_features=8000,
+        ngram_range=(1, 2),
+    ),
+)
+topic_data = model.prepare_topic_data(texts)
+
+topicwizard.easy_deploy(topic_data, dest_dir=".")