#
import random
from topic import recognize_topics
from scrape_news import News


def random_select(enum):
    if isinstance(enum,list):
        rint=random.randint(0,len(enum))
        return enum[rint]

class Model():
    news=News()

    def init_conversation(self):
        self.news.read_default_news()


    def response_on_topic(self,sentence):
        topics=recognize_topics(sentence)
        #print(topics)
        self.news.add_topic(topics)
        return self.generate_content(self.select_topic(topics))


    def select_topic(self,topic_sequence):
        return random_select(topic_sequence)


    def select_article(self,article_sequence):
        return random_select(article_sequence)


    def select_sentence_from_content(self,content):
        return content


    def generate_content(self,topic):
        articles=self.news.read_news(topic)
        content=self.select_article(articles)['content']
        response_sentence=self.select_sentence_from_content(content)
        return response_sentence
a4fb3fcc0d0e4867a929277d8bae69fbeeaba7ec
<mask token>


class Model:
    <mask token>
    <mask token>

    def response_on_topic(self, sentence):
        topics = recognize_topics(sentence)
        self.news.add_topic(topics)
        return self.generate_content(self.select_topic(topics))
    <mask token>

    def select_article(self, article_sequence):
        return random_select(article_sequence)
    <mask token>

    def generate_content(self, topic):
        articles = self.news.read_news(topic)
        content = self.select_article(articles)['content']
        response_sentence = self.select_sentence_from_content(content)
        return response_sentence

<mask token>


class Model:
    <mask token>

    def init_conversation(self):
        self.news.read_default_news()

    def response_on_topic(self, sentence):
        topics = recognize_topics(sentence)
        self.news.add_topic(topics)
        return self.generate_content(self.select_topic(topics))

    def select_topic(self, topic_sequence):
        return random_select(topic_sequence)

    def select_article(self, article_sequence):
        return random_select(article_sequence)

    def select_sentence_from_content(self, content):
        return content

    def generate_content(self, topic):
        articles = self.news.read_news(topic)
        content = self.select_article(articles)['content']
        response_sentence = self.select_sentence_from_content(content)
        return response_sentence

<mask token>


def random_select(enum):
    if isinstance(enum, list):
        rint = random.randint(0, len(enum))
        return enum[rint]


class Model:
    news = News()

    def init_conversation(self):
        self.news.read_default_news()

    def response_on_topic(self, sentence):
        topics = recognize_topics(sentence)
        self.news.add_topic(topics)
        return self.generate_content(self.select_topic(topics))

    def select_topic(self, topic_sequence):
        return random_select(topic_sequence)

    def select_article(self, article_sequence):
        return random_select(article_sequence)

    def select_sentence_from_content(self, content):
        return content

    def generate_content(self, topic):
        articles = self.news.read_news(topic)
        content = self.select_article(articles)['content']
        response_sentence = self.select_sentence_from_content(content)
        return response_sentence

import random
from topic import recognize_topics
from scrape_news import News


def random_select(enum):
    if isinstance(enum, list):
        rint = random.randint(0, len(enum))
        return enum[rint]


class Model:
    news = News()

    def init_conversation(self):
        self.news.read_default_news()

    def response_on_topic(self, sentence):
        topics = recognize_topics(sentence)
        self.news.add_topic(topics)
        return self.generate_content(self.select_topic(topics))

    def select_topic(self, topic_sequence):
        return random_select(topic_sequence)

    def select_article(self, article_sequence):
        return random_select(article_sequence)

    def select_sentence_from_content(self, content):
        return content

    def generate_content(self, topic):
        articles = self.news.read_news(topic)
        content = self.select_article(articles)['content']
        response_sentence = self.select_sentence_from_content(content)
        return response_sentence

#
import random
from topic import recognize_topics
from scrape_news import News


def random_select(enum):
    if isinstance(enum,list):
        rint=random.randint(0,len(enum))
        return enum[rint]

class Model():
    news=News()

    def init_conversation(self):
        self.news.read_default_news()


    def response_on_topic(self,sentence):
        topics=recognize_topics(sentence)
        #print(topics)
        self.news.add_topic(topics)
        return self.generate_content(self.select_topic(topics))


    def select_topic(self,topic_sequence):
        return random_select(topic_sequence)


    def select_article(self,article_sequence):
        return random_select(article_sequence)


    def select_sentence_from_content(self,content):
        return content


    def generate_content(self,topic):
        articles=self.news.read_news(topic)
        content=self.select_article(articles)['content']
        response_sentence=self.select_sentence_from_content(content)
        return response_sentence