Update app.py

app.py

@@ -66,12 +66,12 @@ def load_deeprank_model(max_sequence_length):
     
     model = Sequential()
     
-    #model.add(Embedding(input_dim=vocab_size, output_dim=128, input_length=max_sequence_length))
-    #model.add(Conv1D(filters=128, kernel_size=5, activation='relu'))
-    #model.add(MaxPooling1D(pool_size=2))
-    #model.add(LSTM(64))
-    #model.add(Dense(num_classes, activation='softmax'))
-    #model.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['accuracy'])
+    model.add(Embedding(input_dim=vocab_size, output_dim=128, input_length=max_sequence_length))
+    model.add(Conv1D(filters=128, kernel_size=5, activation='relu'))
+    model.add(MaxPooling1D(pool_size=2))
+    model.add(LSTM(64))
+    model.add(Dense(num_classes, activation='softmax'))
+    model.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['accuracy'])
     model.load_weights('deeprank_model_v2.h5') 
     return model