From cb065571d66cb2d937ac4dedb26178c8b47b6df0 Mon Sep 17 00:00:00 2001
From: computermacgyver <computermacgyver>
Date: Wed, 25 Sep 2024 18:45:19 +0100
Subject: [PATCH] Remove commented lines, fix typo

---
 app/main/lib/elasticsearch.py   | 2 --
 app/main/lib/langid.py          | 2 +-
 app/main/lib/text_similarity.py | 2 --
 3 files changed, 1 insertion(+), 5 deletions(-)

diff --git a/app/main/lib/elasticsearch.py b/app/main/lib/elasticsearch.py
index 5e5ad7c2..ac4818fd 100644
--- a/app/main/lib/elasticsearch.py
+++ b/app/main/lib/elasticsearch.py
@@ -8,8 +8,6 @@
 
 from app.main.lib.language_analyzers import SUPPORTED_LANGUAGES
 from app.main.lib.error_log import ErrorLog
-#from app.main.lib.langid import Cld3LangidProvider as LangidProvider
-#from app.main.lib.langid import GoogleLangidProvider as LangidProvider
 from app.main.lib.langid import FastTextLangidProvider as LangidProvider
 
 def get_all_documents_matching_context(context):
diff --git a/app/main/lib/langid.py b/app/main/lib/langid.py
index e164fa89..12f3d385 100644
--- a/app/main/lib/langid.py
+++ b/app/main/lib/langid.py
@@ -83,7 +83,7 @@ class FastTextLangidProvider:
   @staticmethod
   def langid(text):
     prediction = FastTextLangidProvider.fasttext_model.predict(text)
-    # prediction is a list of tupples, e.g., (('__label__en',), array([0.22517213]))
+    # prediction is a list of tuples, e.g., (('__label__en',), array([0.22517213]))
     return {
       'result': {
         'language': prediction[0][0].split("__")[-1],
diff --git a/app/main/lib/text_similarity.py b/app/main/lib/text_similarity.py
index d5dd6d6e..bb34f6fa 100644
--- a/app/main/lib/text_similarity.py
+++ b/app/main/lib/text_similarity.py
@@ -6,8 +6,6 @@
 from app.main.lib import elastic_crud
 from app.main.lib.shared_models.shared_model import SharedModel
 from app.main.lib.language_analyzers import SUPPORTED_LANGUAGES
-#from app.main.lib.langid import Cld3LangidProvider as LangidProvider
-#from app.main.lib.langid import GoogleLangidProvider as LangidProvider
 from app.main.lib.langid import FastTextLangidProvider as LangidProvider
 from app.main.lib.openai import retrieve_openai_embeddings, PREFIX_OPENAI
 ELASTICSEARCH_DEFAULT_LIMIT = 10000