Update deployment_utils.py

deployment_utils.py

@@ -28,21 +28,21 @@ preprocessor = Preprocessor()
 
 # load models
 doc2vec_model_embeddings = Doc2Vec.load(
-    "F:/Graduation Project/Project/models/best_doc2vec_embeddings")
+    "./models/best_doc2vec_embeddings")
 doc2vec_model = keras.models.load_model(
-    "F:/Graduation Project/Project/models/best_doc2vec_model.h5")
+    "./models/best_doc2vec_model.h5")
 tfidf_model = keras.models.load_model(
-    "F:/Graduation Project/Project/models/best_tfidf_model.h5")
+    "./models/best_tfidf_model.h5")
 cnn_model = keras.models.load_model(
-    "F:/Graduation Project/Project/models/best_cnn_model.h5")
+    "./models/best_cnn_model.h5")
 glove_model = keras.models.load_model(
-    "F:/Graduation Project/Project/models/best_glove_model.h5")
+    "./models/best_glove_model.h5")
 lstm_model = keras.models.load_model(
-    "F:/Graduation Project/Project/models/best_lstm_model.h5")
+    "./models/best_lstm_model.h5")
 bert_model = keras.models.load_model(
-    "F:/Graduation Project/Project/models/best_bert_model.h5", custom_objects={"TFBertModel": transformers.TFBertModel})
+    "./modelsmodels/best_bert_model.h5", custom_objects={"TFBertModel": transformers.TFBertModel})
 fasttext_model = fasttext.load_model(
-    "F:/Graduation Project/Project/models/best_fasttext_model.bin")
+    "./models/best_fasttext_model.bin")
 summarization_model = pipeline(
     "summarization", model="facebook/bart-large-cnn")