diff --git a/data-computer/v1/lda.py b/data-computer/v1/lda.py
index 0e99a1b..84ca117 100755
--- a/data-computer/v1/lda.py
+++ b/data-computer/v1/lda.py
@@ -55,22 +55,6 @@
             best_topic = topic
     return {best_topic:dico[best_topic]}
 
-# # Max coherence
-# For a corpus, return the optimal number of topic
-# def how_many_topics(corpus,dictionary,texts):
-#     best_t = 2
-#     best_coherence = 0
-#     for t in range(3, 21):
-#         lda_model = models.LdaModel(corpus, id2word=dictionary, num_topics=t,iterations=200,alpha="symmetric", eta = "auto",minimum_probability=0.1)
-#         corpus_lda = lda_model[corpus]
-
-#         cm = models.coherencemodel.CoherenceModel(model=lda_model, texts=texts, corpus=corpus_lda, coherence='c_v')
-#         coherence = cm.get_coherence()
-#         print(t,coherence)
-#         if coherence > best_coherence:
-#             best_t = t
-#             best_coherence = coherence
-#     return best_t
 
 
 # WS