Added classes for aimodel and article/article_list, implemented wrapper

to use aimodel to extract keyword from a article's content

article_list.py

@@ -0,0 +1,43 @@
+class article:
+    def __init__(self, title="", content=""):
+        self.title = title
+        self.content = content
+        self.keywords = []
+        self.weight = 0.0
+
+    def jsonify(self):
+        d = {}
+        d["title"] = self.title
+        d["content"] = self.content
+        d["keywords"] = self.keywords
+        d["weight"] = self.weight
+        return d
+
+    def __str__(self):
+        return str(self.jsonify())
+
+    def __repr__(self):
+        return str(self.jsonify())
+
+    def summary(self):
+        return "{0:20.20}, {1:5.5}, {2}".format(self.title, self.weight, self.keywords)
+
+    def replace_keywords(self, keywords=[]):
+        self.keywords = keywords
+
+    def get_content(self):
+        return self.content
+
+
+class article_list:
+    def __init__(self, articles: list = []):
+        self.list = articles
+
+    def sort(self):
+        sorted(self.list, key=compare(lambda item1, item2: item1.weight < item2.weight))
+
+    def append(self, art: article):
+        self.list.append(art)
+
+    def __str__(self):
+        return str("\n".join([x.summary() for x in self.list]))