fix: somefax was applied twice

NLPutils.py

@@ -242,7 +242,5 @@ def sentence_cats_probs(words, topic_centroids, model, topic_to_idx):
     for cat in topic_centroids.keys():
         d = distance.euclidean(cent, topic_centroids[cat])
         result[topic_to_idx[cat]] = -d
-    # softmax
-    result = np.exp(result) / np.sum(np.exp(result), axis=0)
     
     return result

app.py

@@ -44,7 +44,6 @@ def predict_fn(text):
         for i in range(len(probs)):
             result[id_to_topic[i]] = probs[i]
         
-        # Set to 0 if not in top 3 topics (sorted by probability)
         # sort result by value (highest to lowest)
         result = dict(sorted(result.items(), key=lambda item: item[1], reverse=True))
         # get top 3 topics dict