Question

我正在为一些项目学习python kivy。我有一个机器学习代码（电影评论的情感分析），我希望输出显示在一个kivy窗口。我尝试了各种各样的东西，但我还在苦苦挣扎！任何人都可以帮我解决这个问题吗？!!

**main.py**
from kivy.uix.boxlayout import BoxLayout
from kivy.app import App
from kivy.lang import Builder 
from kivy.uix.gridlayout import GridLayout
from kivy.uix.label import Label
import nltk
import random
from nltk.corpus import movie_reviews
import pickle
from kivy.properties import StringProperty

class Demo(GridLayout):
    data = StringProperty()
    def __init__(self):
        super(Demo, self).__init__()        
        self.data =  self.machine()

    def machine(self):
        documents = [(list(movie_reviews.words(fileid)), category)
                     for category in movie_reviews.categories()
                     for fileid in movie_reviews.fileids(category)]

        random.shuffle(documents)


        all_words = []
        for w in movie_reviews.words():
            all_words.append(w.lower())

        all_words = nltk.FreqDist(all_words)

        word_features = list(all_words.keys())[:3000]

        def find_features(document):
            words = set(document)
            features = {}
            for w in word_features:
                features[w] = (w in words)

            return features

        featuresets = [(find_features(rev), category) for (rev, 
category) in documents]

        # Training and testing sets splitted up.
        training_set = featuresets[:1900]
        testing_set = featuresets[1900:]        
        classifier = nltk.NaiveBayesClassifier.train(training_set)

        # Testing now.

        print("Naive Bayes Algorithm accuracy percent:", 
(nltk.classify.accuracy(classifier, testing_set)) * 100)

        # most valuable words when it comes to positive and negative 
movie reviews.
        classifier.show_most_informative_features(15)

        # saving the classifier
        save_classifier = open("naivebayes.pickle", "wb")
        pickle.dump(classifier, save_classifier)
        save_classifier.close()

class DemoApp(App):
    def build(self):
        return Demo()

DemoApp().run()

我无法做什么来将机器学习代码的输出转换为kivy。我尝试使用boxlayout和网格布局，但我遗漏了一些东西，我不理解！

Demo.kv

    <Demo>:
        orientation: "vertical"
        Label:
            id: id_label 
            text: root.data

Answer 1

问题在于您执行self.data = self.machine ()但machine方法返回None。您应该返回要显示的字符串。

但是，如果您的函数需要相对较长的时间才能返回，那么GUI将会冻结。在这种情况下，您必须使用另一个线程或进程来执行该功能。最简单的方法是使用另一个线程和@mainthread装饰器来更新StringProperty（因为OpenGL相关的操作只能在主线程中完成）。

示例：

import threading
import time

from kivy.app import App
from kivy.uix.gridlayout import GridLayout
from kivy.properties import StringProperty
from kivy.clock import mainthread


class Demo(GridLayout):
    data = StringProperty()

    def __init__(self):
        super(Demo, self).__init__()
        threading.Thread(target=self.machine).start()

    def machine(self):
        time.sleep(5)  # Simulating blocking code.
        result = "Hello StackOverflow"
        self.update_label(result)  # Updating label

    @mainthread
    def update_label(self, string):
        self.data = string


class MainApp(App):
    def build(self):
        return Demo()


MainApp().run()

Kivy屏幕上的机器学习输出

1 个答案: