Update app.py

app.py

@@ -11,8 +11,7 @@ import os
 #Import corpus embeddings
 corpus_ger = pd.DataFrame(load_dataset('ECLASS-Standard/eclass_properties_ger', token=str(os.environ['private_token'])))['train']
 corpus_eng = pd.DataFrame(load_dataset('ECLASS-Standard/eclass_properties_eng', token=str(os.environ['private_token'])))['train']
-corpus_fr = pd.DataFrame(load_dataset('ECLASS-Standard/eclass_properties_fr', token=str(os.environ['private_token']))
-)['train']
+corpus_fr = pd.DataFrame(load_dataset('ECLASS-Standard/eclass_properties_fr', token=str(os.environ['private_token'])))['train']
 #Import models
 model_ger = SentenceTransformer('ECLASS-Standard/gbert-base-eclass') #, token=str(os.environ['private_token'])
 model_eng = SentenceTransformer('ECLASS-Standard/mboth-distil-eng-quora-sentence') #, token=str(os.environ['private_token'])