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Creation of SVG from emotional state and polarity of parsed text from URL of choice. If nothing happens, the URL might not be parsable. Enjoy!
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2 changed files with 158 additions and 120 deletions
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@ -4,7 +4,10 @@ from textblob_de import TextBlobDE
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import re
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import re
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from html.parser import HTMLParser
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from html.parser import HTMLParser
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import urllib.request
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import urllib.request
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from wordart.svg_vorlagen import *
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from nrclex import NRCLex
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import numpy as np
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import math
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from PIL import Image
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# define class HTML-Parser
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# define class HTML-Parser
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@ -28,64 +31,6 @@ class MyHTMLParser(HTMLParser):
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self.data.append(data)
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self.data.append(data)
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# define object/class for analysis
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class textforart:
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def __init__(self, language, sentence_lens, sentences, commas, polarity):
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# Sprache
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self.language = language
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# Satz
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if len(sentences) == 0:
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sentences = ['Hello fellow human beeing ^.^']
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self.senctences = sentences
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# Sentence lengthes
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if len(sentence_lens) == 0:
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sentence_lens = [0]
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self.sentence_lens = sentence_lens
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# Commas
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if len(commas) == 0:
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commas = [0]
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self.commas = commas
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# Bewertung
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if len(polarity) == 0:
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polarity = [0]
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self.polarity = polarity
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# Komplezität
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complexity = [0]
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self.complexity = ''
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# Satzlänge
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self.sentence_number = len(sentences)
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self.min_sentence_length = min(sentence_lens)
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self.max_sentence_length = max(sentence_lens)
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self.mean_sentence_length = sum(sentence_lens) / len(sentences)
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# Kommas
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self.number_commas = len(commas)
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self.min_number_commas = min(commas)
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self.max_number_commas = max(commas)
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self.mean_number_commas = len(commas)/ len(sentences)
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# Bewertung
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self.sum_sentences_polarity = sum(polarity)
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self.min_sentences_polarity = min(polarity)
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self.max_sentences_polarity = max(polarity)
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self.mean_sentences_polarity = sum(polarity) / len(sentences)
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# Schätzer für Komplexität
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self.max_complexity = 0
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self.min_complexity = 0
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self.mean_complexity = 0
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# signatur Word -> mean purpose
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self.signatur_word = ''
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def add_svg(svg):
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def add_svg(svg):
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clipboard = QGuiApplication.clipboard()
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clipboard = QGuiApplication.clipboard()
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@ -94,45 +39,59 @@ def add_svg(svg):
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clipboard.setMimeData(mime_data)
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clipboard.setMimeData(mime_data)
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Application.action('edit_paste').trigger()
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Application.action('edit_paste').trigger()
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def create_svg(svg):
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def create_svg(svg, width, heigth):
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app = Krita.instance()
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app = Krita.instance()
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# Document open?
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# Document open?
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if app.activeDocument():
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if app.activeDocument():
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#print("aktive document")
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doc = app.activeDocument()
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doc = app.activeDocument()
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else:
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else:
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#print("create document")
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doc = app.createDocument(width, heigth, 'SVGA Test', 'RGBA', 'U8', '', 120.0)
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doc = app.createDocument(800, 600, 'SVGA Test', 'RGBA', 'U8', '', 120.0)
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app.activeWindow().addView(doc)
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doc = app.createDocument(800, 600, 'SVGA Test', 'RGBA', 'U8', '', 120.0)
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app.activeWindow().addView(doc)
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app.activeWindow().addView(doc)
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layer = doc.createVectorLayer('ColorSVG')
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layer = doc.createVectorLayer('ColorSVG')
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layer.setName('ColorSVG')
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layer.setName('ColorSVG')
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add_svg(svg)
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add_svg(svg)
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def design_svg(width, height, x, y):
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svg = f'''<?xml version="1.0" encoding="iso-8859-1"?>
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<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
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<svg>'''
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return(svg)
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def design_svg2(fillcolor, width, height, x, y):
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svg = f'''<rect x="{x}" y="{y}" width="{width}" height="{height}" fill = "{fillcolor}"/>'''
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return(svg)
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## make art from emotions
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def makeart(content, parser):
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def makeart(content, parser):
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parser = MyHTMLParser()
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parser.feed(urllib.request.urlopen(content).read().decode())
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parser.feed(urllib.request.urlopen(content).read().decode())
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linkdata = parser.data
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linkdata = parser.data
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if linkdata is not None:
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# language
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# language
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language = ''
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language = ''
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# number of sentences
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sentencenr = 0
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# filtering parsed text
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# filtering parsed text
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text = ""
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text = ""
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for phrases in linkdata:
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for phrases in linkdata:
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phrases = phrases.rstrip("\n\r+0-9[]()+")
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phrases = phrases.rstrip("\n\r+0-9[]()+")
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# skip unwanted characters
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# skip unwanted characters
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text = text + phrases
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text = text + phrases
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# create textblob
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# create textblob
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blob = TextBlob(text)
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blob = TextBlob(text)
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# language?
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# language?
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for w in blob.words:
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for w in blob.words:
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sentencenr = sentencenr + 1
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if re.match(r"and", w):
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if re.match(r"and", w):
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language = 'en'
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language = 'en'
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elif re.match(r"und", w):
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elif re.match(r"und", w):
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@ -140,31 +99,110 @@ def makeart(content, parser):
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if language == 'de':
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if language == 'de':
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blob = TextBlobDE(text)
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blob = TextBlobDE(text)
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else:
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blob = TextBlob(text)
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sentence_lens = []
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commas = []
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polarity = []
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polarity = []
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# print polarity of sentences
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for sentence in blob.sentences:
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for sentence in blob.sentences:
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# length of sentences
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sentence_lens.append(len(sentence))
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# number of commas
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commas.append(len(re.findall(',', str(sentence))))
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# polarity
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# polarity
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polarity.append(sentence.sentiment.polarity)
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polarity.append(sentence.sentiment.polarity)
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# init new textforart object
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text_object = NRCLex('nrc_en.json')
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art = textforart(language, sentence_lens, blob.sentences, commas, polarity)
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size = round(math.sqrt(len(linkdata)))
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i = 0 # counter for all tuples
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j = 0 # counter for resize
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# make art out of object
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lim = 0.2
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# fill color:#000000 # stroke color:#000000
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stroke = "rgb(" + str(round(125*(1/art.mean_number_commas))) + ", " + str(round(125 - art.min_sentences_polarity)) + ", " + str(round(125 - art.max_sentences_polarity)) + ")"
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fill = "rgb(" + str(round(125*(1/art.mean_number_commas))) + ", " + str(round(125 - art.min_sentences_polarity)) + ", " + str(round(125 - art.max_sentences_polarity)) + ")"
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# define with of svg
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for sentence in blob.sentences:
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heigh = 700- (10*art.mean_sentences_polarity)
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# polarity
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width = 700*art.mean_number_commas
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polarity.append(sentence.sentiment.polarity)
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svg = design_svg(stroke, fill, heigh, width)
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# define svg as string variable
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create_svg(svg)
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#svg = bytes()
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svg = design_svg(size, size, 0, 0)
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if linkdata is not None:
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# filtering parsed text
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text = ""
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for x in range(size):
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for y in range(size):
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phrase = linkdata[j].rstrip("\n\r+0-9[]()+")
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# skip unwanted characters
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text = text + phrase
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# let's show the emotions
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emotion = NRCLex(phrase)
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red = 0
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green = 0
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blue = 0
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## calculate value for red:
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# positive-low arousal: trust, positive, surprise, joy
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if emotion.raw_emotion_scores.get('trust'):
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red = red + (100*3.137*emotion.raw_emotion_scores['trust'])
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if emotion.raw_emotion_scores.get('joy'):
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red = red + (100*3.137*emotion.raw_emotion_scores['joy'])
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if emotion.raw_emotion_scores.get('surprise'):
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red = red + (100*3.137*emotion.raw_emotion_scores['surprise'])
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## calculate value for blue:
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# negative-high arousal: fear, anger, sadness
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if emotion.raw_emotion_scores.get('fear'):
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blue = blue + (100*1.961*emotion.raw_emotion_scores['fear'])
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if emotion.raw_emotion_scores.get('anger'):
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blue = blue + (100*1.961*emotion.raw_emotion_scores['anger'])
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if emotion.raw_emotion_scores.get('sadness'):
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blue = blue + (100*1.961*emotion.raw_emotion_scores['sadness'])
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## calculate value for green: anticip, disgust, negative
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if emotion.raw_emotion_scores.get('anticip'):
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green = green + (100*1.176*emotion.raw_emotion_scores['anticip'])
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if emotion.raw_emotion_scores.get('disgust'):
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green = green + (100*1.176*emotion.raw_emotion_scores['disgust'])
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if emotion.raw_emotion_scores.get('negative'):
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green = green + (10*1.176*emotion.raw_emotion_scores['negative'])
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## now adding the polarity
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if polarity[j] < -1*float(lim):
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red = red + (100*3.137*polarity[j])
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elif polarity[j] > float(lim):
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blue = blue + (100*1.961*polarity[j])
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else:
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green = green + (100*1.176*polarity[j])
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## make sure every color is max 250
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if red > 255:
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red = 255
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if green > 255:
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green = 255
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if blue > 255:
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blue = 255
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## calculate Color
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rgbcolor = "rgb(" + str(round(red)) + ", " + str(round(green)) + ", " + str(round(blue)) + ")"
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# create svg
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svg_part = design_svg2(rgbcolor, 10, 10, x, y)
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svg = svg + svg_part
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# reset counter
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try:
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polarity[j + 1]
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j = j + 1
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except IndexError:
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j = 0
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svg_end = f'''</svg>'''
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svg = svg + svg_end
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create_svg(svg.encode('utf-8'), size, size)
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#f = open("/tmp/test.svg", "w")
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#f.write(str(svg.encode('utf-8')))
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#f.write(svg)
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@ -10,7 +10,7 @@ from PyQt5.QtCore import *
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from html.parser import HTMLParser
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from html.parser import HTMLParser
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import urllib.request
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import urllib.request
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from wordart.classes import *
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from wordart.classes import *
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from wordart.svg_vorlagen import *
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#from wordart.svg_vorlagen import *
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# define class HTML-Parser
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# define class HTML-Parser
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class MyHTMLParser(HTMLParser):
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class MyHTMLParser(HTMLParser):
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clicked = 'Button clicked'
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clicked = 'Button clicked'
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#add a checkbox
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#add a checkbox
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newCheckbox = QCheckBox()
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#newCheckbox = QCheckBox()
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newCheckbox.setText('realise input')
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#newCheckbox.setText('realise input')
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layoutForButtons.addWidget(newCheckbox)
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#layoutForButtons.addWidget(newCheckbox)
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mainWidget.setLayout(layoutForButtons)
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mainWidget.setLayout(layoutForButtons)
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mainWidget.layout().addWidget(newButton)
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#mainWidget.layout().addWidget(newButton)
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#newButton.clicked.connect(lambda: newCheckbox.setCheckState(2))
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#newButton.clicked.connect(lambda: newCheckbox.setCheckState(2))
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newButton.clicked.connect(lambda: newButtonIsClicked())
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newButton.clicked.connect(lambda: newButtonIsClicked())
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def newButtonIsClicked():
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def newButtonIsClicked():
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# text = 'Welcome fellow human beeing ^.^
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# text = 'Welcome fellow human beeing ^.^
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# aktivate Checkbox if input is done
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# aktivate Checkbox if input is done
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newCheckbox.setCheckState(2)
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#newCheckbox.setCheckState(2)
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if line.text():
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if line.text():
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parser = MyHTMLParser()
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parser = MyHTMLParser()
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makeart(line.text(), parser)
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makeart(line.text(), parser)
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else:
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#else:
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newCheckbox.setCheckState(1)
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#newCheckbox.setCheckState(1)
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def canvasChanged(self, canvas):
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def canvasChanged(self, canvas):
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