Create app.py

app.py

@@ -0,0 +1,18 @@
+from sklearn.decomposition import NMF
+from sklearn.feature_extraction.text import CountVectorizer
+from sklearn.pipeline import Pipeline
+
+bow_vectorizer = CountVectorizer()
+nmf = NMF(n_components=10)
+topic_pipeline = Pipeline(
+   [
+      ("bow", bow_vectorizer),
+      ("nmf", nmf),
+   ]
+)
+topic_pipeline.fit(texts)
+
+import topicwizard
+
+topicwizard.visualize(pipeline=topic_pipeline, corpus=texts)
+