update

Author: freesoft

.dockerignore

@@ -5,5 +5,6 @@ Dockerfile
 README.md
 CODE_OF_CONDUCT.md
 LICENSE
-env.*
-devops
+__pycache__
+.vscode
+Procfile

Dockerfile

@@ -1,22 +1,35 @@
 FROM ubuntu:18.04
-MAINTAINER Wonhee Jung "[email protected]"
+ENV TERM xterm
+ENV LC_ALL C.UTF-8
+ENV FLASK_APP webapp.py
+LABEL maintainer="Wonhee Jung([email protected])"
+
 RUN apt-get update && apt-get install -y \
     software-properties-common
 RUN add-apt-repository universe
 RUN apt-get update && apt-get install -y \
     curl \
     git \
     python3.6 \
-    python3-pip
-COPY . /app
+    python3-pip && \ 
+    rm -rf /var/lib/apt/lists/*
+
+COPY requirements.txt /requirements.txt
+
+RUN pip3 install --upgrade pip
+RUN pip3 install -r requirements.txt && \
+    pip freeze
+
 WORKDIR /app
-RUN pip3 install -U nltk
+EXPOSE 5000
+
+COPY . /app
+
+
 RUN python3 -m nltk.downloader popular
-RUN pip3 install -U numpy
-RUN pip3 install -r requirements.txt
+
 # prepare classifier and vectorizer so webapp will start up faster
 RUN python3 ./detox_engine.py
-ENTRYPOINT ["python3"]
-CMD ["webapp.py"]
+ENTRYPOINT ["python3", "-u"]
+CMD ["/app/webapp.py"]
 
-EXPOSE 5000

detox_engine.py

@@ -17,6 +17,7 @@
 import numpy as np
 import pandas as pd
 from joblib import dump, load
+from nltk import word_tokenize,sent_tokenize
 from nltk.stem import WordNetLemmatizer
 from sklearn.feature_extraction.text import TfidfVectorizer
 from sklearn.naive_bayes import MultinomialNB

requirements.txt

@@ -4,6 +4,7 @@ pandas
 joblib
 sklearn
 gevent
+gevent-websocket
 flask
 flask_socketio
 flask_sockets