Create a Dockerfile for Serving API to bundle the trained model

Rename Dockerfile for Tokenizer API
Update README

Dockerfile.serving-api

@@ -0,0 +1,14 @@
+FROM tensorflow/serving
+
+ENV MODEL_BASE_PATH=/models
+ENV MODEL_NAME=sqli_model
+ENV KMP_AFFINITY=noverbose
+ENV TF_CPP_MIN_LOG_LEVEL=3
+
+WORKDIR /models
+COPY ./sqli_model /models/sqli_model
+
+EXPOSE 8500
+EXPOSE 8501
+
+CMD tensorflow_model_server --port=8500 --rest_api_port=8501 --model_name=${MODEL_NAME} --model_base_path=${MODEL_BASE_PATH}/${MODEL_NAME} "$@"

README.md

@@ -5,12 +5,12 @@ Deep learning model, dataset, trained model and related code for SQL injection d
 ## Docker
 
 ```bash
-# Build the image
-docker build --no-cache --tag deepsqli-api:latest .
-# Run the DeepSQLi API container
-docker run --rm --name deepsqli-api -p 8000:8000 -d deepsqli-api:latest
-# Run the TensorFlow Serving API container
-docker run -t --rm --name serving-api -p 8500-8501:8500-8501 -v ./sqli_model:/models/sqli_model -e MODEL_NAME=sqli_model -d tensorflow/serving
+# Build the images
+docker build --no-cache --tag tokenizer-api:latest -f Dockerfile.tokenizer-api .
+docker build --no-cache --tag serving-api:latest -f Dockerfile.serving-api .
+# Run the Tokenizer and Serving API containers
+docker run --rm --name tokenizer-api -p 8000:8000 -d deepsqli-api:latest
+docker run -t --rm --name serving-api -p 8500-8501:8500-8501 -d serving-api:latest
 ```
 
 ### Test