add multi-classification model h5

data/model/{model.keras → multi-classification.h5}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bfe8f18c11d7239d74d8b5147128156175ad33948e5a9a74e8c0cc0cd28d685b
-size 6833312
+oid sha256:9d426f8dbb6afa55aa32b836887bd112e91c2475c5a88f8d9f425f18f79abcba
+size 72329352

modules/binary-classification.keras

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:a50abd61f0e541056d942290594338f10452c23ea2e26b960a5eba828bae1b64
-size 595304

modules/multilabel_classification.py

@@ -84,7 +84,7 @@ def multi_classification(request):
         os.remove('temp.txt')
 
 def multi_classification_small(text):
-    model = MODEL + 'multi-classification.keras'
+    model = MODEL + 'multi-classification.h5'
     tokenizer = TOKEN + 'multi-classification-tokenizer.json'
     try:
         labels, max_label = predict(model, tokenizer, text)