Update README.md

Author: jiegzhan

README.md

@@ -1,6 +1,6 @@
 ### Project: Classify Kaggle Consumer Finance Complaints
 
-### Summary:
+### Highlights:
 
  - This is a **multi-class text classification** problem.
  - The purpose of this project is to classify Kaggle Consumer Finance Complaints into **11 classes**. 
@@ -18,13 +18,16 @@
 
 ### Train:
 
- - Command: ```python3 train.py training_data.file training_parameters.file```
+ - Command: python3 train.py training_data.file training_parameters.file
  - Example: ```python3 train.py ./data/consumer_complaints.csv.zip ./parameters.json```
+ 
+ A directory will be generated during training, and it contains model which will be loaded when running ```predict.py```.
 
 ### Predict:
 
- - Command: ```python3 predict.py ./trained_model_directory/ test_samples.file```
- - Example: ```python3 predict.py ./trained_model_1478649295/ ./data/small_samples.json```
+ Provide the model directory (generated when running ```train.py```) and test file to ```predict.py```.
+ - Command: python3 predict.py ./trained_model_directory/ test_samples.file
+ - Example: ```python3 predict.py ./trained_model_1479757124/ ./data/small_samples.json```
 
 ### Reference:
  - [Implement a cnn for text classification in tensorflow](http://www.wildml.com/2015/12/implementing-a-cnn-for-text-classification-in-tensorflow/)