diff --git a/.gitignore b/.gitignore index 96e8e14..a98492d 100644 --- a/.gitignore +++ b/.gitignore @@ -1,5 +1,6 @@ images/** output/** src/index.json +src/database.json .DS_Store src/**.wav diff --git a/Makefile b/Makefile index 5caefe7..fab6eed 100644 --- a/Makefile +++ b/Makefile @@ -46,7 +46,6 @@ ifeq ($(OS),Darwin) @echo $(OS) endif - # POST-PROCESSING RECIPES ocr/output.txt: ## ocr with tesseract @@ -77,9 +76,13 @@ reading_structure: ocr/output.txt ## Analyzes OCR'ed text using a Part of Speech cp src/reading_structure/jquery.min.js output/reading_structure cp src/reading_structure/script.js output/reading_structure cp src/reading_structure/style.css output/reading_structure - cp src/reading_structure/print.css output/reading_structure cat $< | python3 src/reading_structure/reading_structure.py - weasyprint -s output/reading_structure/print.css output/reading_structure/index.html output/reading_structure/poster.pdf + weasyprint -s src/reading_structure/print-noun.css output/reading_structure/index.html output/reading_structure/poster_noun.pdf + weasyprint -s src/reading_structure/print-adv.css output/reading_structure/index.html output/reading_structure/poster_adv.pdf + weasyprint -s src/reading_structure/print-dppt.css output/reading_structure/index.html output/reading_structure/poster_dppt.pdf + weasyprint -s src/reading_structure/print-stopword.css output/reading_structure/index.html output/reading_structure/poster_stopword.pdf + weasyprint -s src/reading_structure/print-neutral.css output/reading_structure/index.html output/reading_structure/poster_neutral.pdf + weasyprint -s src/reading_structure/print-entity.css output/reading_structure/index.html output/reading_structure/poster_named_entities.pdf x-www-browser output/reading_structure/index.html output/chatbot.txt: ocr/output.txt ## Comments a text with a simple chatbot. Dependencies: python3's chatterbot @@ -126,3 +129,6 @@ ttssr-human-only: ocr/output.txt ## Loop: text to speech-speech recognition. Dep chatbook: ocr/output.txt #chatbot based on the knowledge of the scans Dependencies: nltk_rake, irc, nltk python3 src/chatbook.py + +oulibot: ocr/output.txt #chatbot based on the knowledge of the scans Dependencies: nltk_rake, irc, nltk + python3 src/oulibot.py diff --git a/README b/README index 9103394..fff3c45 100644 --- a/README +++ b/README @@ -53,19 +53,24 @@ Specific Dependencies: Description: Uses OCR'ed text as an input, labels each word for Part-of-Speech, stopwords and sentiment. Then it generates a reading interface where words with a specific label are hidden. Output can be saved as poster, or exported as json featuring the full data set. -run: `make reading_structure` +Run: `make reading_structure` Specific Dependencies: * nltk (http://www.nltk.org/install.html) -* nltk.tokenize.punkt, ne_chunk, pos_tag, word_tokenize, sentiment.vader -* - nltk.download('vader_lexicon') - (https://www.nltk.org/data.html) +* tokenize.punkt, pos_tag, word_tokenize, sentiment.vader, vader_lexicon (python3, import NLTK, nltk.download() and select these models) +* spaCy (https://spacy.io/usage/) +* spacy en_core_web_sm model (python3 -m spacy download en_core_web_sm) * weasyprint (http://weasyprint.readthedocs.io/en/latest/install.html) * jinja2 (http://jinja.pocoo.org/docs/2.10/intro/#installation) * font: PT Sans (os font https://www.fontsquirrel.com/fonts/pt-serif) * font: Ubuntu Mono (os font https://www.fontsquirrel.com/fonts/ubuntu-mono) +License: GNU AGPLv3 +Permissions of this license are conditioned on making available complete source code of licensed works and modifications, which include larger works using a licensed work, under the same license. +Copyright and license notices must be preserved. Contributors provide an express grant of patent rights. +When a modified version is used to provide a service over a network, the complete source code of the modified version must be made available. +See src/reading_structure/license.txt for the full license. + ## Erase / Replace: Natasha Description: Receives your scanned pages in order, then analyzes each image and its vocabulary. Finds and crops the least common words, and either erases them, or replaces them with the most common words. Outputs a PDF of increasingly distorted scan images. @@ -122,3 +127,20 @@ To move on to the next line of text, press enter twice. To see your pattern, type 'pattern'. To save your pattern in a text file, type 'save'. To leave the program, type 'quit'. + +## oulibot: Alex +Description: Chatbot that will help you to write a poem based on the text you inserted by giving you constraints. + +run: make oulibot + + +Dependencies: +irc.bot: pip3 install irc_client +nltk: pip3 install nltk && python3 -m nltk.downloader +rake_nltk: pip3 install rake_nltk +nltk.tokenize +nltk.corpus +textblob: pip3 install textblob +PIL: pip3 install Pillow +numpy: pip3 install numpy +tweepy: pip3 install tweepy diff --git a/ocr/list.txt b/ocr/list.txt index c9cfbc0..139597f 100644 --- a/ocr/list.txt +++ b/ocr/list.txt @@ -1,6 +1,2 @@ -images/0031.tif -images/0032.tif -images/0033.tif -images/0034.tif diff --git a/src/build_database.py b/src/build_database.py index 722f54c..4eb9c1d 100644 --- a/src/build_database.py +++ b/src/build_database.py @@ -2,16 +2,30 @@ import json import argparse import sys from nltk.tokenize import sent_tokenize, word_tokenize +from nltk.corpus import stopwords +import nltk +import numpy as np from rake_nltk import Rake - +from textblob import TextBlob +stop_words = set(stopwords.words('english')) r= Rake() ap = argparse.ArgumentParser("JSON Dumper") ap.add_argument("text", nargs="+", help="text sources") args=ap.parse_args() +def cleanedText(text): + word_tokens = word_tokenize(text) + word_tokens = [word.lower() for word in word_tokens] + word_tokens = [word for word in word_tokens if word.isalpha()] + filtered_sentence = [w for w in word_tokens if not w in stop_words] + text = " ".join(filtered_sentence) + print(text) + return text + +#### INDEX (DEPR) -with open('src/index.json') as f: +with open('src/index.json', 'r') as f: try: index = json.load(f) except: @@ -36,3 +50,121 @@ for n in args.text: with open('src/index.json', 'w') as outfile: json.dump(index, outfile) + + + +######## DATABASE + +with open('src/database.json') as f: + try: + index = json.load(f) + except: + index = {} + + +nouns = [] +verbs = [] +adverbs = [] +pronouns = ["I", "you", "we", "they"] +adjectives = [] +keywords = [] +keywordspersentence = {} +alltext = "" +allcharacters = [] + +for n in args.text: + text = open(n).read() + rawtext = text.replace("\n", " ") + #get pos + for letter in list(rawtext): + if letter not in allcharacters and not letter.isalpha(): + allcharacters.append(letter) + + alltext += rawtext + text = cleanedText(text) + thistext = TextBlob(text) + words = word_tokenize(text) + listWithPos = nltk.pos_tag(words) + print(thistext.tags) + for key, tag in thistext.tags: + if(tag == "VBP"): + verbs.append(key) + if(tag == "NN" or tag == "NNS"): + nouns.append(key) + if(tag == "RB"): + adverbs.append(key) + if(tag == "JJ"): + adjectives.append(key) + + print("Verbs: {}".format(verbs)) + print("Nouns: {}".format(nouns)) + print("Adverbs: {}".format(adverbs)) + print("Adjectives: {}".format(adjectives)) + #keywords + r.extract_keywords_from_text(rawtext) + phrases = r.get_ranked_phrases_with_scores() + for key, phrase in phrases: + if key > 2: + keywords.append(phrase) + + print("Keywords: {}".format(keywords)) + + # keywordsofsentences + sentences = sent_tokenize(text) + for sentence in sentences: + + r.extract_keywords_from_text(sentence) + keys = r.get_ranked_phrases() + for key in keys: + if key not in keywordspersentence: + keywordspersentence[key] = [] + keywordspersentence[key].append({'filename': n, 'sentence': sentence, 'key': key}) + +print(allcharacters) + +if not index: + index["nouns"]=nouns + index["verbs"]=verbs + index["pronouns"]=pronouns + index["adverbs"]=adverbs + index["adjectives"]=adjectives + index["keywords"]=keywords + index["keywordspersentence"]=keywordspersentence + index["rawtext"]=alltext + index["chars"] = allcharacters +else: + if not index["nouns"]: + index["nouns"]=nouns + else: + index["nouns"].extend(nouns) + if not index["verbs"]: + index["verbs"]=verbs + else: + index["verbs"].extend(verbs) + if not index["pronouns"]: + index["pronouns"]=pronouns + else: + index["pronouns"].extend(pronouns) + if not index["adverbs"]: + index["adverbs"]=adverbs + else: + index["adverbs"].extend(adverbs) + if not index["adjectives"]: + index["adjectives"]=adjectives + else: + index["adjectives"].extend(adjectives) + if not index["keywords"]: + index["keywords"]=keywords + else: + index["keywords"].extend(keywords) + if not index["keywordspersentence"]: + index["keywordspersentence"]=keywordspersentence + else: + index["keywordspersentence"].update(keywordspersentence) + if not index["chars"]: + index["chars"] = allcharacters + else: + index["chars"].extend(allcharacters) + +with open('src/database.json', 'w') as outfile: + json.dump(index, outfile) diff --git a/src/chatbook.py b/src/chatbook.py index 0c98dca..09b5d49 100644 --- a/src/chatbook.py +++ b/src/chatbook.py @@ -69,9 +69,10 @@ if __name__ == "__main__": try: index = json.load(f) except: - index={} + print("I can't work with no knowledge") + sys.exit() + - #print(index) myhost = os.uname()[1] diff --git a/src/erase_leastcommon.py b/src/erase_leastcommon.py index bef06d9..2a9c450 100644 --- a/src/erase_leastcommon.py +++ b/src/erase_leastcommon.py @@ -46,8 +46,8 @@ def filternone(word_raw): x = -1 leastcommon_list = [] allwords = [] -scanimg = glob.glob('images-tiff/*.tiff') -hocr = glob.glob('hocr/*.html') +scanimg = sorted(glob.glob('images-tiff/*.tiff')) +hocr = sorted(glob.glob('hocr/*.html')) maximum = 20 / len(scanimg) # this helps the script remove words in a way that is proportional to number of pages scanned # loop through every image in scanimg folder @@ -117,3 +117,16 @@ files = glob.glob('./output/erase-replace/*erase.jpg') for f in files: os.remove(f) + + + + + + + + + # DO WHAT THE FUCK YOU WANT TO PUBLIC LICENSE + # TERMS AND CONDITIONS FOR COPYING, DISTRIBUTION AND MODIFICATION + + # 0. You just DO WHAT THE FUCK YOU WANT TO. + diff --git a/src/index.json b/src/index.json index 4ee31d1..6bbf738 100644 --- a/src/index.json +++ b/src/index.json @@ -1 +1 @@ -{"ones digital women 4 |\u00bb": [{"filename": "ocr/output.txt", "sentence": " ZEROS + ONES DIGITAL WOMEN 4|\u00bb THE NEWTECHNOCULTURE moments of unknown, disconnected lives, \u201dinvisible voices conducted through the tips of her \ufb01ngers.\"", "key": "ones digital women 4 |\u00bb"}], "\u201d invisible voices conducted": [{"filename": "ocr/output.txt", "sentence": " ZEROS + ONES DIGITAL WOMEN 4|\u00bb THE NEWTECHNOCULTURE moments of unknown, disconnected lives, \u201dinvisible voices conducted through the tips of her \ufb01ngers.\"", "key": "\u201d invisible voices conducted"}], "\ufb01ngers .\"": [{"filename": "ocr/output.txt", "sentence": " ZEROS + ONES DIGITAL WOMEN 4|\u00bb THE NEWTECHNOCULTURE moments of unknown, disconnected lives, \u201dinvisible voices conducted through the tips of her \ufb01ngers.\"", "key": "\ufb01ngers .\""}], "newtechnoculture moments": [{"filename": "ocr/output.txt", "sentence": " ZEROS + ONES DIGITAL WOMEN 4|\u00bb THE NEWTECHNOCULTURE moments of unknown, disconnected lives, \u201dinvisible voices conducted through the tips of her \ufb01ngers.\"", "key": "newtechnoculture moments"}], "disconnected lives": [{"filename": "ocr/output.txt", "sentence": " ZEROS + ONES DIGITAL WOMEN 4|\u00bb THE NEWTECHNOCULTURE moments of unknown, disconnected lives, \u201dinvisible voices conducted through the tips of her \ufb01ngers.\"", "key": "disconnected lives"}], "zeros": [{"filename": "ocr/output.txt", "sentence": " ZEROS + ONES DIGITAL WOMEN 4|\u00bb THE NEWTECHNOCULTURE moments of unknown, disconnected lives, \u201dinvisible voices conducted through the tips of her \ufb01ngers.\"", "key": "zeros"}], "unknown": [{"filename": "ocr/output.txt", "sentence": " ZEROS + ONES DIGITAL WOMEN 4|\u00bb THE NEWTECHNOCULTURE moments of unknown, disconnected lives, \u201dinvisible voices conducted through the tips of her \ufb01ngers.\"", "key": "unknown"}], "tips": [{"filename": "ocr/output.txt", "sentence": " ZEROS + ONES DIGITAL WOMEN 4|\u00bb THE NEWTECHNOCULTURE moments of unknown, disconnected lives, \u201dinvisible voices conducted through the tips of her \ufb01ngers.\"", "key": "tips"}], "thousands oi opera tors": [{"filename": "ocr/output.txt", "sentence": "Poised as an interface between man and the world, she is also wired to a network of digital machines: typists connected to QWERTY alphabets, bodies shaped by the motion of the keys, one hundred words a minute, viral speed, Thousands oi opera tors, relays, calls, exchanges humming in Virtual conjunction, learning the same phrases, \ufb02ipping the same switches, repeating the same responses, pushing plugs into the answering iacks, maybe two hundred, three hundred times an hours She has \"a \ufb01ngertip mastery of the ringing.", "key": "thousands oi opera tors"}], "three hundred times": [{"filename": "ocr/output.txt", "sentence": "Poised as an interface between man and the world, she is also wired to a network of digital machines: typists connected to QWERTY alphabets, bodies shaped by the motion of the keys, one hundred words a minute, viral speed, Thousands oi opera tors, relays, calls, exchanges humming in Virtual conjunction, learning the same phrases, \ufb02ipping the same switches, repeating the same responses, pushing plugs into the answering iacks, maybe two hundred, three hundred times an hours She has \"a \ufb01ngertip mastery of the ringing.", "key": "three hundred times"}], "one hundred words": [{"filename": "ocr/output.txt", "sentence": "Poised as an interface between man and the world, she is also wired to a network of digital machines: typists connected to QWERTY alphabets, bodies shaped by the motion of the keys, one hundred words a minute, viral speed, Thousands oi opera tors, relays, calls, exchanges humming in Virtual conjunction, learning the same phrases, \ufb02ipping the same switches, repeating the same responses, pushing plugs into the answering iacks, maybe two hundred, three hundred times an hours She has \"a \ufb01ngertip mastery of the ringing.", "key": "one hundred words"}], "maybe two hundred": [{"filename": "ocr/output.txt", "sentence": "Poised as an interface between man and the world, she is also wired to a network of digital machines: typists connected to QWERTY alphabets, bodies shaped by the motion of the keys, one hundred words a minute, viral speed, Thousands oi opera tors, relays, calls, exchanges humming in Virtual conjunction, learning the same phrases, \ufb02ipping the same switches, repeating the same responses, pushing plugs into the answering iacks, maybe two hundred, three hundred times an hours She has \"a \ufb01ngertip mastery of the ringing.", "key": "maybe two hundred"}], "\ufb01ngertip mastery": [{"filename": "ocr/output.txt", "sentence": "Poised as an interface between man and the world, she is also wired to a network of digital machines: typists connected to QWERTY alphabets, bodies shaped by the motion of the keys, one hundred words a minute, viral speed, Thousands oi opera tors, relays, calls, exchanges humming in Virtual conjunction, learning the same phrases, \ufb02ipping the same switches, repeating the same responses, pushing plugs into the answering iacks, maybe two hundred, three hundred times an hours She has \"a \ufb01ngertip mastery of the ringing.", "key": "\ufb01ngertip mastery"}], "virtual conjunction": [{"filename": "ocr/output.txt", "sentence": "Poised as an interface between man and the world, she is also wired to a network of digital machines: typists connected to QWERTY alphabets, bodies shaped by the motion of the keys, one hundred words a minute, viral speed, Thousands oi opera tors, relays, calls, exchanges humming in Virtual conjunction, learning the same phrases, \ufb02ipping the same switches, repeating the same responses, pushing plugs into the answering iacks, maybe two hundred, three hundred times an hours She has \"a \ufb01ngertip mastery of the ringing.", "key": "virtual conjunction"}], "viral speed": [{"filename": "ocr/output.txt", "sentence": "Poised as an interface between man and the world, she is also wired to a network of digital machines: typists connected to QWERTY alphabets, bodies shaped by the motion of the keys, one hundred words a minute, viral speed, Thousands oi opera tors, relays, calls, exchanges humming in Virtual conjunction, learning the same phrases, \ufb02ipping the same switches, repeating the same responses, pushing plugs into the answering iacks, maybe two hundred, three hundred times an hours She has \"a \ufb01ngertip mastery of the ringing.", "key": "viral speed"}], "typists connected": [{"filename": "ocr/output.txt", "sentence": "Poised as an interface between man and the world, she is also wired to a network of digital machines: typists connected to QWERTY alphabets, bodies shaped by the motion of the keys, one hundred words a minute, viral speed, Thousands oi opera tors, relays, calls, exchanges humming in Virtual conjunction, learning the same phrases, \ufb02ipping the same switches, repeating the same responses, pushing plugs into the answering iacks, maybe two hundred, three hundred times an hours She has \"a \ufb01ngertip mastery of the ringing.", "key": "typists connected"}], "qwerty alphabets": [{"filename": "ocr/output.txt", "sentence": "Poised as an interface between man and the world, she is also wired to a network of digital machines: typists connected to QWERTY alphabets, bodies shaped by the motion of the keys, one hundred words a minute, viral speed, Thousands oi opera tors, relays, calls, exchanges humming in Virtual conjunction, learning the same phrases, \ufb02ipping the same switches, repeating the same responses, pushing plugs into the answering iacks, maybe two hundred, three hundred times an hours She has \"a \ufb01ngertip mastery of the ringing.", "key": "qwerty alphabets"}], "pushing plugs": [{"filename": "ocr/output.txt", "sentence": "Poised as an interface between man and the world, she is also wired to a network of digital machines: typists connected to QWERTY alphabets, bodies shaped by the motion of the keys, one hundred words a minute, viral speed, Thousands oi opera tors, relays, calls, exchanges humming in Virtual conjunction, learning the same phrases, \ufb02ipping the same switches, repeating the same responses, pushing plugs into the answering iacks, maybe two hundred, three hundred times an hours She has \"a \ufb01ngertip mastery of the ringing.", "key": "pushing plugs"}], "exchanges humming": [{"filename": "ocr/output.txt", "sentence": "Poised as an interface between man and the world, she is also wired to a network of digital machines: typists connected to QWERTY alphabets, bodies shaped by the motion of the keys, one hundred words a minute, viral speed, Thousands oi opera tors, relays, calls, exchanges humming in Virtual conjunction, learning the same phrases, \ufb02ipping the same switches, repeating the same responses, pushing plugs into the answering iacks, maybe two hundred, three hundred times an hours She has \"a \ufb01ngertip mastery of the ringing.", "key": "exchanges humming"}], "digital machines": [{"filename": "ocr/output.txt", "sentence": "Poised as an interface between man and the world, she is also wired to a network of digital machines: typists connected to QWERTY alphabets, bodies shaped by the motion of the keys, one hundred words a minute, viral speed, Thousands oi opera tors, relays, calls, exchanges humming in Virtual conjunction, learning the same phrases, \ufb02ipping the same switches, repeating the same responses, pushing plugs into the answering iacks, maybe two hundred, three hundred times an hours She has \"a \ufb01ngertip mastery of the ringing.", "key": "digital machines"}], "bodies shaped": [{"filename": "ocr/output.txt", "sentence": "Poised as an interface between man and the world, she is also wired to a network of digital machines: typists connected to QWERTY alphabets, bodies shaped by the motion of the keys, one hundred words a minute, viral speed, Thousands oi opera tors, relays, calls, exchanges humming in Virtual conjunction, learning the same phrases, \ufb02ipping the same switches, repeating the same responses, pushing plugs into the answering iacks, maybe two hundred, three hundred times an hours She has \"a \ufb01ngertip mastery of the ringing.", "key": "bodies shaped"}], "answering iacks": [{"filename": "ocr/output.txt", "sentence": "Poised as an interface between man and the world, she is also wired to a network of digital machines: typists connected to QWERTY alphabets, bodies shaped by the motion of the keys, one hundred words a minute, viral speed, Thousands oi opera tors, relays, calls, exchanges humming in Virtual conjunction, learning the same phrases, \ufb02ipping the same switches, repeating the same responses, pushing plugs into the answering iacks, maybe two hundred, three hundred times an hours She has \"a \ufb01ngertip mastery of the ringing.", "key": "answering iacks"}], "also wired": [{"filename": "ocr/output.txt", "sentence": "Poised as an interface between man and the world, she is also wired to a network of digital machines: typists connected to QWERTY alphabets, bodies shaped by the motion of the keys, one hundred words a minute, viral speed, Thousands oi opera tors, relays, calls, exchanges humming in Virtual conjunction, learning the same phrases, \ufb02ipping the same switches, repeating the same responses, pushing plugs into the answering iacks, maybe two hundred, three hundred times an hours She has \"a \ufb01ngertip mastery of the ringing.", "key": "also wired"}], "\ufb02ipping": [{"filename": "ocr/output.txt", "sentence": "Poised as an interface between man and the world, she is also wired to a network of digital machines: typists connected to QWERTY alphabets, bodies shaped by the motion of the keys, one hundred words a minute, viral speed, Thousands oi opera tors, relays, calls, exchanges humming in Virtual conjunction, learning the same phrases, \ufb02ipping the same switches, repeating the same responses, pushing plugs into the answering iacks, maybe two hundred, three hundred times an hours She has \"a \ufb01ngertip mastery of the ringing.", "key": "\ufb02ipping"}], "world": [{"filename": "ocr/output.txt", "sentence": "Poised as an interface between man and the world, she is also wired to a network of digital machines: typists connected to QWERTY alphabets, bodies shaped by the motion of the keys, one hundred words a minute, viral speed, Thousands oi opera tors, relays, calls, exchanges humming in Virtual conjunction, learning the same phrases, \ufb02ipping the same switches, repeating the same responses, pushing plugs into the answering iacks, maybe two hundred, three hundred times an hours She has \"a \ufb01ngertip mastery of the ringing.", "key": "world"}], "switches": [{"filename": "ocr/output.txt", "sentence": "Poised as an interface between man and the world, she is also wired to a network of digital machines: typists connected to QWERTY alphabets, bodies shaped by the motion of the keys, one hundred words a minute, viral speed, Thousands oi opera tors, relays, calls, exchanges humming in Virtual conjunction, learning the same phrases, \ufb02ipping the same switches, repeating the same responses, pushing plugs into the answering iacks, maybe two hundred, three hundred times an hours She has \"a \ufb01ngertip mastery of the ringing.", "key": "switches"}], "ringing": [{"filename": "ocr/output.txt", "sentence": "Poised as an interface between man and the world, she is also wired to a network of digital machines: typists connected to QWERTY alphabets, bodies shaped by the motion of the keys, one hundred words a minute, viral speed, Thousands oi opera tors, relays, calls, exchanges humming in Virtual conjunction, learning the same phrases, \ufb02ipping the same switches, repeating the same responses, pushing plugs into the answering iacks, maybe two hundred, three hundred times an hours She has \"a \ufb01ngertip mastery of the ringing.", "key": "ringing"}], "responses": [{"filename": "ocr/output.txt", "sentence": "Poised as an interface between man and the world, she is also wired to a network of digital machines: typists connected to QWERTY alphabets, bodies shaped by the motion of the keys, one hundred words a minute, viral speed, Thousands oi opera tors, relays, calls, exchanges humming in Virtual conjunction, learning the same phrases, \ufb02ipping the same switches, repeating the same responses, pushing plugs into the answering iacks, maybe two hundred, three hundred times an hours She has \"a \ufb01ngertip mastery of the ringing.", "key": "responses"}], "repeating": [{"filename": "ocr/output.txt", "sentence": "Poised as an interface between man and the world, she is also wired to a network of digital machines: typists connected to QWERTY alphabets, bodies shaped by the motion of the keys, one hundred words a minute, viral speed, Thousands oi opera tors, relays, calls, exchanges humming in Virtual conjunction, learning the same phrases, \ufb02ipping the same switches, repeating the same responses, pushing plugs into the answering iacks, maybe two hundred, three hundred times an hours She has \"a \ufb01ngertip mastery of the ringing.", "key": "repeating"}], "relays": [{"filename": "ocr/output.txt", "sentence": "Poised as an interface between man and the world, she is also wired to a network of digital machines: typists connected to QWERTY alphabets, bodies shaped by the motion of the keys, one hundred words a minute, viral speed, Thousands oi opera tors, relays, calls, exchanges humming in Virtual conjunction, learning the same phrases, \ufb02ipping the same switches, repeating the same responses, pushing plugs into the answering iacks, maybe two hundred, three hundred times an hours She has \"a \ufb01ngertip mastery of the ringing.", "key": "relays"}], "poised": [{"filename": "ocr/output.txt", "sentence": "Poised as an interface between man and the world, she is also wired to a network of digital machines: typists connected to QWERTY alphabets, bodies shaped by the motion of the keys, one hundred words a minute, viral speed, Thousands oi opera tors, relays, calls, exchanges humming in Virtual conjunction, learning the same phrases, \ufb02ipping the same switches, repeating the same responses, pushing plugs into the answering iacks, maybe two hundred, three hundred times an hours She has \"a \ufb01ngertip mastery of the ringing.", "key": "poised"}], "phrases": [{"filename": "ocr/output.txt", "sentence": "Poised as an interface between man and the world, she is also wired to a network of digital machines: typists connected to QWERTY alphabets, bodies shaped by the motion of the keys, one hundred words a minute, viral speed, Thousands oi opera tors, relays, calls, exchanges humming in Virtual conjunction, learning the same phrases, \ufb02ipping the same switches, repeating the same responses, pushing plugs into the answering iacks, maybe two hundred, three hundred times an hours She has \"a \ufb01ngertip mastery of the ringing.", "key": "phrases"}], "network": [{"filename": "ocr/output.txt", "sentence": "Poised as an interface between man and the world, she is also wired to a network of digital machines: typists connected to QWERTY alphabets, bodies shaped by the motion of the keys, one hundred words a minute, viral speed, Thousands oi opera tors, relays, calls, exchanges humming in Virtual conjunction, learning the same phrases, \ufb02ipping the same switches, repeating the same responses, pushing plugs into the answering iacks, maybe two hundred, three hundred times an hours She has \"a \ufb01ngertip mastery of the ringing.", "key": "network"}], "motion": [{"filename": "ocr/output.txt", "sentence": "Poised as an interface between man and the world, she is also wired to a network of digital machines: typists connected to QWERTY alphabets, bodies shaped by the motion of the keys, one hundred words a minute, viral speed, Thousands oi opera tors, relays, calls, exchanges humming in Virtual conjunction, learning the same phrases, \ufb02ipping the same switches, repeating the same responses, pushing plugs into the answering iacks, maybe two hundred, three hundred times an hours She has \"a \ufb01ngertip mastery of the ringing.", "key": "motion"}], "minute": [{"filename": "ocr/output.txt", "sentence": "Poised as an interface between man and the world, she is also wired to a network of digital machines: typists connected to QWERTY alphabets, bodies shaped by the motion of the keys, one hundred words a minute, viral speed, Thousands oi opera tors, relays, calls, exchanges humming in Virtual conjunction, learning the same phrases, \ufb02ipping the same switches, repeating the same responses, pushing plugs into the answering iacks, maybe two 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/dev/null +++ b/src/oulibot.py @@ -0,0 +1,501 @@ +##CREDITS: +## ASCII ART Generator partly from: https://gist.github.com/cdiener/10567484 +## parts of ELIZA (originally by Joseph Weizenbaum) knock off by JezUK Ltd, Joe Strout, Jeff Epler +## with the following licence conditions: + # MIT licence + # + # Permission is hereby granted, free of charge, to any person obtaining a copy + # of this software and associated documentation files (the "Software"), to deal + # in the Software without restriction, including without limitation the rights + # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell + # copies of the Software, and to permit persons to whom the Software is + # furnished to do so, subject to the following conditions: + # + # The above copyright notice and this permission notice shall be included in all + # copies or substantial portions of the Software. +## functions by nltk +## basic irc bot code with the help of Michael Murtough +## Bot created by Alex Roidl @ PZI Institute + +import irc.bot +import nltk +from rake_nltk import Rake +import random +from nltk.tokenize import sent_tokenize, word_tokenize +from nltk.corpus import stopwords +from textblob import TextBlob +from textblob_aptagger import PerceptronTagger +import string +import re +import json +import time +import sys; from PIL import Image; import numpy as np +chars = np.asarray(list(' .,:;irsXA253hMHGS#9B&@')) +import string +import requests +from io import BytesIO + +import tweepy +from time import sleep + +auth = tweepy.OAuthHandler("WMIWR2GTJuiarhRMzSFozPKIW", "xrYVnPi29K5Updi0rIsVjGySfaJ1ubYrRIDJmJPVAfEVQRTMp3") +auth.set_access_token("977958636600332288-313cPBLHFlZ6K7UViyvFGXp4saBrpVK", "euqooRSqBDMhydZfeczsTrFGK0s4wKUrvI5cpRe405fs0") +api = tweepy.API(auth) + +basicDialog = [ + [r'I need (.*)', + [ "Why do you need %1?", + "Would it really help you to get %1?", + "Are you sure you need %1?"]], + + [r'Do you think (.*)', + [ "Yes I think %1", + "I think you should set yourself contraints", + "I'm no so sure about this"]], + + [r'Why don\'?t you ([^\?]*)\??', + [ "Do you really think I don't %1?", + "Perhaps eventually I will %1.", + "Do you really want me to %1?"]], + + [r'Why can\'?t I ([^\?]*)\??', + [ "Do you think you should be able to %1?", + "If you could %1, what would you do?", + "I don't know -- why can't you %1?", + "Have you really tried?"]], + + [r'I can\'?t (.*)', + [ "How do you know you can't %1?", + "Perhaps you could %1 if you tried.", + "What would it take for you to %1?"]], + + [r'I am (.*)', + [ "Did you come to me because you are %1?", + "How long have you been %1?", + "How do you feel about being %1?"]], + + [r'I\'?m (.*)', + [ "How does being %1 make you feel?", + "Do you enjoy being %1?", + "Why do you tell me you're %1?", + "Why do you think you're %1?"]], + + [r'How (.*)', + [ "Just follow my advices and you will see."]], + + [r'(.*) sorry (.*)', + [ "There are many times when no apology is needed.", + "What feelings do you have when you apologize?"]], + + [r'I think (.*)', + [ "Do you doubt %1?", + "Ok?", + "%1?"]], + + [r'Yes', + [ "You seem quite sure.", + "Nice.", + "Cool!", + "ok, so what do you wanna know"]], + + [r'(.*) computer(.*)', + [ "Are you really talking about me?", + "I'm a computer and I will help you write a text?", + "How do computers make you feel?", + "Do you feel threatened by computers?"]], + + [r'What is (.*)', + [ "I am your writing assistant. Together we can create awesome texts", + "I want to help you with contraint writing"]], + + [r'(.*) contraint writing', + [ "It means that by limiting your choices, you will gain new freedom"]], + + [r'(.*)', + ["Do you want to write a poem together with me?", + "We could write a poem together, what do you think?"]] + + ] +changePerspective = { + "am" : "are", + "was" : "were", + "i" : "you", + "i'd" : "you would", + "i've" : "you have", + "i'll" : "you will", + "my" : "your", + "are" : "am", + "you've": "I have", + "you'll": "I will", + "your" : "my", + "yours" : "mine", + "you" : "me", + "me" : "you" +} + + +#from thread import start_new_thread + +r= Rake() +stop_words = set(stopwords.words('english')) + + +def chunks(l, n): + for i in range(0, len(l), n): + yield l[i:i+n] + +class HelloBot(irc.bot.SingleServerIRCBot): + def __init__(self, channel, nickname, server, port=6667, index=None): + irc.bot.SingleServerIRCBot.__init__(self, [(server, port)], nickname, nickname) + self.channel = channel + self.index = index + self.lastAnswer = "" + self.lastincoming_msg = ["common", "statement"] + self.sentence = [] + self.waitingfor = "" + self.lastPOS = 0 + self.topic= random.choice(index["keywords"]) + self.level = -1 + self.poem = [] + self.keys = list(map(lambda x:re.compile(x[0], re.IGNORECASE),basicDialog)) + self.values = list(map(lambda x:x[1],basicDialog)) + self.POSSIBLE_STRUCTURES=[["adjective", "noun", "adverb", "verb", "adjective", "noun"], ["pronoun", "verb", "adverb"]] + self.structure = random.choice(self.POSSIBLE_STRUCTURES) + + def translate(self,str,dict): + words = str.lower().split() + keys = dict.keys(); + for i in range(0,len(words)): + if words[i] in keys: + words[i] = dict[words[i]] + return ' '.join(words) + + def respond(self,str): + # find a match among keys + for i in range(0, len(self.keys)): + match = self.keys[i].match(str) + if match: + # found a match ... stuff with corresponding value + # chosen randomly from among the available options + resp = random.choice(self.values[i]) + # we've got a response... stuff in reflected text where indicated + pos = resp.find('%') + while pos > -1: + num = int(resp[pos+1:pos+2]) + resp = resp[:pos] + \ + self.translate(match.group(num),changePerspective) + \ + resp[pos+2:] + pos = resp.find('%') + # fix munged punctuation at the end + if resp[-2:] == '?.': resp = resp[:-2] + '.' + if resp[-2:] == '??': resp = resp[:-2] + '?' + self.lastAnswer = resp + return resp + +#-1 +#0 = you want to make a poem? +#1 = making of the poem + def checkAffirmation(self, sent): + sent = sent.lower() + translator = str.maketrans('', '', string.punctuation) + sent = sent.translate(translator) + YES_LIST = ["sure", "of course", "why not", "nice", "ya" "i love to", "ya", "yess", "jup", "juhu", "let's go", "ye", "jes", "ready", "ok", "maybe", "yep", "yup", "yeah", "jeji", "yah", "yay", "I am ready", "I'm ready"] + if "yes" in sent or sent in YES_LIST or "ok" in sent or "yeah" in sent: + return True + else: + return False + + def checkNegation(self, sent): + sent = sent.lower() + translator = str.maketrans('', '', string.punctuation) + sent = sent.translate(translator) + NO_LIST = ["no", "don't", "nope", "stop", "don't want", "don't like", "something else", "not now", "maybe not", "never"] + if "no" in sent or sent in NO_LIST: + return True + else: + return False + + def generateASCII(self, c, e): + output = True + + url_pattern = "http://i.imgur.com/{}{}{}{}{}.jpg" + url_symbols = string.digits + string.ascii_letters + soscounter = 0 + while output: + try: + response = requests.get(url_pattern.format(*(random.choice(url_symbols) for _ in range(5)))) + + #if len(sys.argv) != 4: print( 'Usage: ./asciinator.py image scale factor' ); sys.exit() + #f, SC, GCF, WCF = sys.argv[1], float(sys.argv[2]), float(sys.argv[3]), 7/4 + + img = Image.open(BytesIO(response.content)) + S = ( 60,15 ) + img = np.sum( np.asarray( img.resize(S) ), axis=2) + img -= img.min() + img = (1.0 - img/img.max())**1.1*(chars.size-1) + + output = False + for r in chars[img.astype(int)]: + c.privmsg(self.channel,"".join(r)) + time.sleep(1) + except: + if soscounter < 30: + soscounter += 1 + output = True + else: + output = False + c.privmsg(self.channel,"I couldn't generate ASCII, not my day today") + + + def basicDialog(self,c,e): + incoming_msg = e.arguments[0] + incoming_msg = incoming_msg.lower() + #Greetings + if(self.lastincoming_msg[-2] == incoming_msg): + answers = ["and again", "repetition can be a nice tool, but talk normal to me, please.", "WHY ARE YOU WRITING THE SAME THING TWICE, JUST USE THE CHAT HISTORY!"] + msg = random.choice(answers) + c.privmsg(self.channel,msg) + elif "hi " in incoming_msg or incoming_msg == "hi" or "hallo " in incoming_msg or incoming_msg == "hello" or "hello " in incoming_msg or "hoi " in incoming_msg or incoming_msg == "hey": + greetingsanswers = ["hi {}".format(e.source.split("!")[0]), "hey there"] + msg = random.choice(greetingsanswers) + c.privmsg(self.channel,msg) + c.privmsg(self.channel,"I'm your personal writing assistent, how can i help you?") + elif "how are you" in incoming_msg or "how’s it going" in incoming_msg: + answers = ["I'm fine.".format(e.source.split("!")[0]), "great, I'd really like to help you with your writing"] + msg = random.choice(answers) + c.privmsg(self.channel,msg) + elif "are" in incoming_msg and ("real" in incoming_msg or "human" in incoming_msg or "bot" in incoming_msg): + answers = ["I'm neither a bot nor a human, I don't think in categories. :-)", "I consider myself transpysical ~\0/~", "Real, is everything you see, so here I am, I am writing with you"] + msg = random.choice(answers) + c.privmsg(self.channel,msg) + elif "poem" in incoming_msg: + self.level=0 + self.explanation_poem(c,e) + elif self.checkAffirmation(incoming_msg) and (self.lastAnswer == "Do you want to write a poem together with me?" or self.lastAnswer=="Are you up for a poem now?" or self.lastAnswer=="We could write a poem together, what do you think?"): + self.level=0 + self.explanation_poem(c,e) + elif self.checkNegation(incoming_msg) and (self.lastAnswer == "Do you want to write a poem together with me?" or self.lastAnswer=="Are you up for a poem now?" or self.lastAnswer=="We could write a poem together, what do you think?"): + if self.checkNegation(self.lastincoming_msg[-2]): + answers = ["You don't seem very motivated, I'm gonna generate some ASCII Art for you out of the text. Maybe this will inspire you ;-)", + "Come on! Maybe some ASCII Art will help you to get motivated?", + "Ok, you refuse a lot, but nobody will ever refuse some raaaaandom ASCII AAAART :-)", + "A poem is like ASCII Art, beautiful and inspiring"] + msg = random.choice(answers) + c.privmsg(self.channel,msg) + self.generateASCII(c,e) + answers = ["Are you up for a poem now?", "Do you want to write a poem together with me?", + "We could write a poem together, what do you think?"] + msg = random.choice(answers) + c.privmsg(self.channel,msg) + else: + answers = ["try it, it's gonna be fun!", "oh, really? come on!", "I think you would do a great job! Let's go!"] + msg = random.choice(answers) + c.privmsg(self.channel,msg) + else: + msg = self.respond(incoming_msg) + c.privmsg(self.channel,msg) + + def explanation_poem(self, c, e): + c.privmsg(self.channel, "Ok, let's try to write a poem together") + c.privmsg(self.channel, "It's gonna be based on the scanned text you inserted into my drive") + c.privmsg(self.channel, "Your only task is to follow the structure I give you") + c.privmsg(self.channel, "I'm gonna start, are you ready?") + self.lastAnswer = "towardspoem" + + def explanation(self, c, e): + c.privmsg(self.channel, "So, my name is Oulibot, I'm a writer and I will be assisting you, to improve your writing") + c.privmsg(self.channel, "My knowledge is based on the text you gave me") + # c.privmsg(self.channel, "The structure is gonna be: ADJECTIVE, NOUN, ADVERB, VERB, ADJECTIVE, NOUN") + # c.privmsg(self.channel, "You woun't see my words until the sentence is finished") + # c.privmsg(self.channel, "I'm gonna start, are you ready?") + # self.lastAnswer = "I'm gonna start, are you ready?" + + def on_welcome(self, c, e): + c.join(self.channel) + self.explanation(c,e) + + def on_privmsg(self, c, e): + pass + + + def generateSentence(self,c,e): + thispos = self.lastPOS + STRUCTURE=self.structure + print(thispos) + + if thispos == len(STRUCTURE): + if len(self.poem) <= 3: + finished_sentence = " ".join(self.sentence) + self.poem.append(finished_sentence) + c.privmsg(self.channel, " ".join(self.sentence)) + c.privmsg(self.channel, "Nice one! Let's add another line:") + self.lastAnswer = "Nice one! Let's add another line:" + if random.choice([True, False]): + self.lastPOS =-1 + self.sentence = [] + self.generateSentence(c,e) + self.level = 1 + else: + self.lastPOS =0 + self.sentence = [] + self.generateSentence(c,e) + self.level = 1 + else: + finished_sentence = " ".join(self.sentence) + self.poem.append(finished_sentence) + c.privmsg(self.channel, " ".join(self.sentence)) + + poemtwitter = "" + c.privmsg(self.channel, "Your freshly made poem:") + c.privmsg(self.channel, "«««««««««««««««««««««««««»»»»»»»»»»»»»»»»»»»»»»»»»»»»") + c.privmsg(self.channel, "{}".format(self.topic)) + poemtwitter += self.topic + "\n\n" + c.privmsg(self.channel, "«««««««««««««««««««««««««»»»»»»»»»»»»»»»»»»»»»»»»»»»»") + for sent in self.poem: + c.privmsg(self.channel, "{}".format(sent)) + time.sleep(1) + poemtwitter += sent + "\n" + c.privmsg(self.channel, "«««««««««««««««««««««««««»»»»»»»»»»»»»»»»»»»»»»»»»»»»") + poemtwitter += "\n" + poemtwitter += "written with: " + e.source.split("!")[0] + try: + api.update_status(poemtwitter) + c.privmsg(self.channel, "I'm gonna publish this on my twitter account: @ExquisiteChat") + except: + c.privmsg(self.channel, "I wanted to publish this on twitter but I guess it is too long :-(") + self.lastAnswer = "towardspoem" + self.poem = [] + self.level=0 + promt = "Good job, you want to write a new one?" + c.privmsg(self.channel, promt) + self.lastAnswer = promt + elif thispos ==-1: + c.privmsg(self.channel, "You are gonna start this time: give me a {}!".format(STRUCTURE[0])) + self.lastPOS += 1 + self.waitingfor=STRUCTURE[0] + elif thispos == len(STRUCTURE)-1: + word = random.choice(index[STRUCTURE[thispos]+"s"]) + c.privmsg(self.channel, "{0}".format(word)) + self.sentence.append(word) + self.lastPOS += 1 + self.waitingfor="" + self.generateSentence(c,e) + else: + word = random.choice(index[STRUCTURE[thispos]+"s"]) + c.privmsg(self.channel, "{0}, give me a {1}!".format(word, STRUCTURE[thispos+1])) + self.sentence.append(word) + self.lastPOS += 1 + self.waitingfor=STRUCTURE[thispos+1] + + + + def on_pubmsg(self, c, e): + print(e.arguments, e.source) + incoming_msg = e.arguments[0] + self.lastincoming_msg.append(incoming_msg) + analysedincoming = TextBlob(incoming_msg) + print(self.level) +# if incoming_msg == "can you explain again?": +# self.explanation_poem(c,e) + if self.level == -1: + self.basicDialog(c,e) + elif self.level == 0: + if self.lastAnswer=="towardspoem" or self.lastAnswer=="Good job, you want to write a new one?": + if self.checkAffirmation(incoming_msg): + self.topic= random.choice(index["keywords"]) + c.privmsg(self.channel, "The topic is about: {}".format(self.topic)) + self.lastPOS =0 + self.sentence = [] + self.structure = random.choice(self.POSSIBLE_STRUCTURES) + self.generateSentence(c,e) + self.level = 1 + else: + if self.checkNegation(self.lastincoming_msg[-2]): + answers = ["You don't seem very motivated, I'm gonna generate some ASCII Art for you out of the text. Maybe this will inspire you ;-)", + "Come on! Maybe some ASCII Art will help you to get motivated?", + "Ok, you refuse a lot, but nobody will ever refuse some raaaaandom ASCII AAAART :-)", + "A poem is like ASCII Art, beautiful and inspiring"] + msg = random.choice(answers) + c.privmsg(self.channel,msg) + self.generateASCII(c,e) + answers = ["Are you up for a poem now?"] + msg = random.choice(answers) + self.level = 0 + c.privmsg(self.channel,msg) + else: + self.level=-1 + c.privmsg(self.channel, "Can I help you with any text? Your mood seems ") + if(analysedincoming.sentiment.polarity>0.5): + c.privmsg(self.channel, "very positive. :-D You should definitly write a poem in that mood!") + self.lastAnswer= "towardspoem" + elif(analysedincoming.sentiment.polarity<-0.5): + c.privmsg(self.channel, "not so good. :-( Maybe a poem can help to cheer you up?") + self.lastAnswer= "towardspoem" + else: + c.privmsg(self.channel, "pretty neutral. Let's trigger emotions by writing a poem!!! ;-)") + self.lastAnswer= "towardspoem" + + + + else: + c.privmsg(self.channel, "This is confusing, what are you doing?") + elif self.level == 1: + if "what is" in incoming_msg: + c.privmsg(self.channel, "A {0} is for example {1}, {2} or {3}".format(self.waitingfor,random.choice(index[self.waitingfor+"s"]),random.choice(index[self.waitingfor+"s"]),random.choice(index[self.waitingfor+"s"]))) + elif ("new" in incoming_msg or "change") and "topic" in incoming_msg: + c.privmsg(self.channel, "Sure, I'm gonna propose a new topic") + self.topic= random.choice(index["keywords"]) + c.privmsg(self.channel, "The new topic is: {}".format(self.topic)) + self.lastPOS =0 + self.sentence = [] + self.generateSentence(c,e) + self.level = 1 + elif "." in incoming_msg: + self.sentence.append(incoming_msg.replace(".", "")) + self.lastPOS = len(self.structure) + self.generateSentence(c,e) + else: + self.sentence.append(incoming_msg) + self.lastPOS +=1 + print(self.waitingfor + " " + incoming_msg) + self.index[self.waitingfor + "s"].append(incoming_msg) + with open('src/database.json', 'w') as outfile: + json.dump(self.index, outfile) + self.generateSentence(c,e) + + + + +def cleanedText(text): + word_tokens = word_tokenize(text) + word_tokens = [word.lower() for word in word_tokens] + word_tokens = [word for word in word_tokens if word.isalpha()] + filtered_sentence = [w for w in word_tokens if not w in stop_words] + text = " ".join(filtered_sentence) + print(text) + return text + + + +if __name__ == "__main__": + import argparse + import sys + + ap = argparse.ArgumentParser("IRC Bot") + ap.add_argument("--server", default="irc.freenode.net") + ap.add_argument("--port", type=int, default=6667) + ap.add_argument("--channel", default="#exquisite") + ap.add_argument("--nickname", default="Oulibot") + ap.add_argument("--text", nargs="+", help="text sources") + args=ap.parse_args() + + with open("src/database.json") as f: + try: + index = json.load(f) + except: + print("I can't work with no knowledge") + sys.exit() + + chars = np.asarray(index["chars"]) + bot = HelloBot(args.channel, args.nickname, args.server, args.port, index) + bot.start() diff --git a/src/reading_structure/license.txt b/src/reading_structure/license.txt new file mode 100644 index 0000000..6bb5339 --- /dev/null +++ b/src/reading_structure/license.txt @@ -0,0 +1,661 @@ +GNU AFFERO GENERAL PUBLIC LICENSE + Version 3, 19 November 2007 + +Copyright (C) 2007 Free Software Foundation, Inc. +Everyone is permitted to copy and distribute verbatim copies +of this license document, but changing it is not allowed. + + Preamble + +The GNU Affero General Public License is a free, copyleft license for +software and other kinds of works, specifically designed to ensure +cooperation with the community in the case of network server software. + +The licenses for most software and other practical works are designed +to take away your freedom to share and change the works. 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There are many ways you could offer source, and different +solutions will be better for different programs; see section 13 for the +specific requirements. + +You should also get your employer (if you work as a programmer) or school, +if any, to sign a "copyright disclaimer" for the program, if necessary. +For more information on this, and how to apply and follow the GNU AGPL, see +. diff --git a/src/reading_structure/print-adv.css b/src/reading_structure/print-adv.css new file mode 100644 index 0000000..08f3427 --- /dev/null +++ b/src/reading_structure/print-adv.css @@ -0,0 +1,97 @@ +@page { + /* dimensions for the whole page */ + size: 297mm 420mm; + margin: 7rem 2rem 7rem 2rem; + background-color: #d9d9d6; /* To emulate #dfdfdf on print at PZI Canon MFP */ + position: absolute; + display: table; + + @bottom-center { + content: 'make reading_structure'; + font-family: 'Ubuntu Mono', monospace; + white-space: pre; + color: #000; + padding-bottom: 3em; + } + +} + +/* --- + + ELEMENTS TO CHANGE HIDDEN WORDS AND ACCENT COLOR + + --- */ + +span.word_label, .adjective .word, .adverb .word { + display: block; + opacity: 0; + width: 100%; + font-size: 1rem; +} + +.adjective > .pos, .adverb > .pos { + color: #8e445e; +} + + +/* --- + + BASIC ELEMENTS + + --- */ + +body { + background-color: transparent !important; + font-size: 20px; +} + +.container { +margin: 0 auto; +padding: 3rem 2.5rem; +max-width: 100% !important; +height: 100px !important; +background-color: transparent !important; +border: none !important; + +} + +span.wrapper { + display: inline-block; + font-family: 'PT Serif', serif; + font-size: 1.5rem; + text-align:center; + position: relative; + margin-bottom: 1rem; + color: #000; +} + +.action-container { + display: none; +} + +/* --- + + ELEMENTS IN .WRAPPER + + --- */ + +.word, .tag { + display: block; + position: relative; + margin: 0 auto; + clear:both; +} + +.word { + margin-top: 0.2rem; +} + +span.invisible { + +} + +span.tag { + color: #fff; + font-family: 'Ubuntu Mono', monospace; + font-size: 0.8rem; +} diff --git a/src/reading_structure/print-dppt.css b/src/reading_structure/print-dppt.css new file mode 100644 index 0000000..46d5465 --- /dev/null +++ b/src/reading_structure/print-dppt.css @@ -0,0 +1,97 @@ +@page { + /* dimensions for the whole page */ + size: 297mm 420mm; + margin: 7rem 2rem 7rem 2rem; + background-color: #d9d9d6; /* To emulate #dfdfdf on print at PZI Canon MFP */ + position: absolute; + display: table; + + @bottom-center { + content: 'make reading_structure'; + font-family: 'Ubuntu Mono', monospace; + white-space: pre; + color: #000; + padding-bottom: 3em; + } + +} + +/* --- + + ELEMENTS TO CHANGE HIDDEN WORDS AND ACCENT COLOR + + --- */ + +span.word_label, .pronoun .word, .determiner .word, .to .word, .preposition .word { + display: block; + opacity: 0; + width: 100%; + font-size: 1rem; +} + +.pronoun > .pos, .determiner > .pos, .to > .pos, .preposition > .pos { + color: #2f7f40; +} + + +/* --- + + BASIC ELEMENTS + + --- */ + +body { + background-color: transparent !important; + font-size: 20px; +} + +.container { +margin: 0 auto; +padding: 3rem 2.5rem; +max-width: 100% !important; +height: 100px !important; +background-color: transparent !important; +border: none !important; + +} + +span.wrapper { + display: inline-block; + font-family: 'PT Serif', serif; + font-size: 1.5rem; + text-align:center; + position: relative; + margin-bottom: 1rem; + color: #000; +} + +.action-container { + display: none; +} + +/* --- + + ELEMENTS IN .WRAPPER + + --- */ + +.word, .tag { + display: block; + position: relative; + margin: 0 auto; + clear:both; +} + +.word { + margin-top: 0.2rem; +} + +span.invisible { + +} + +span.tag { + color: #fff; + font-family: 'Ubuntu Mono', monospace; + font-size: 0.8rem; +} diff --git a/src/reading_structure/print-entity.css b/src/reading_structure/print-entity.css new file mode 100644 index 0000000..82702fb --- /dev/null +++ b/src/reading_structure/print-entity.css @@ -0,0 +1,98 @@ +@page { + /* dimensions for the whole page */ + size: 297mm 420mm; + margin: 7rem 2rem 7rem 2rem; + background-color: #d9d9d6; /* To emulate #dfdfdf on print at PZI Canon MFP */ + position: absolute; + display: table; + + @bottom-center { + content: 'make reading_structure'; + font-family: 'Ubuntu Mono', monospace; + white-space: pre; + color: #000; + padding-bottom: 3em; + } + +} + +/* --- + + ELEMENTS TO CHANGE HIDDEN WORDS AND ACCENT COLOR + + --- */ + +span.word_label, .known_entity .word, .pronoun .word { + display: block; + opacity: 0; + width: 100%; + font-size: 1rem; +} + + +.known_entity > .ner, .pronoun > .pos { + color: #00cccc; +} + + +/* --- + + BASIC ELEMENTS + + --- */ + +body { + background-color: transparent !important; + font-size: 20px; +} + +.container { +margin: 0 auto; +padding: 3rem 2.5rem; +max-width: 100% !important; +height: 100px !important; +background-color: transparent !important; +border: none !important; + +} + +span.wrapper { + display: inline-block; + font-family: 'PT Serif', serif; + font-size: 1.5rem; + text-align:center; + position: relative; + margin-bottom: 1rem; + color: #000; +} + +.action-container { + display: none; +} + +/* --- + + ELEMENTS IN .WRAPPER + + --- */ + +.word, .tag { + display: block; + position: relative; + margin: 0 auto; + clear:both; +} + +.word { + margin-top: 0.2rem; +} + +span.invisible { + +} + +span.tag { + color: #fff; + font-family: 'Ubuntu Mono', monospace; + font-size: 0.8rem; +} diff --git a/src/reading_structure/print-neutral.css b/src/reading_structure/print-neutral.css new file mode 100644 index 0000000..c092874 --- /dev/null +++ b/src/reading_structure/print-neutral.css @@ -0,0 +1,97 @@ +@page { + /* dimensions for the whole page */ + size: 297mm 420mm; + margin: 7rem 2rem 7rem 2rem; + background-color: #d9d9d6; /* To emulate #dfdfdf on print at PZI Canon MFP */ + position: absolute; + display: table; + + @bottom-center { + content: 'make reading_structure'; + font-family: 'Ubuntu Mono', monospace; + white-space: pre; + color: #000; + padding-bottom: 3em; + } + +} + +/* --- + + ELEMENTS TO CHANGE HIDDEN WORDS AND ACCENT COLOR + + --- */ + +span.word_label, .neutral .word { + display: block; + opacity: 0; + width: 100%; + font-size: 1rem; +} + +.neutral > .sentiment { + color: #a500ff; +} + + +/* --- + + BASIC ELEMENTS + + --- */ + +body { + background-color: transparent !important; + font-size: 20px; +} + +.container { +margin: 0 auto; +padding: 3rem 2.5rem; +max-width: 100% !important; +height: 100px !important; +background-color: transparent !important; +border: none !important; + +} + +span.wrapper { + display: inline-block; + font-family: 'PT Serif', serif; + font-size: 1.5rem; + text-align:center; + position: relative; + margin-bottom: 1rem; + color: #000; +} + +.action-container { + display: none; +} + +/* --- + + ELEMENTS IN .WRAPPER + + --- */ + +.word, .tag { + display: block; + position: relative; + margin: 0 auto; + clear:both; +} + +.word { + margin-top: 0.2rem; +} + +span.invisible { + +} + +span.tag { + color: #fff; + font-family: 'Ubuntu Mono', monospace; + font-size: 0.8rem; +} diff --git a/src/reading_structure/print-noun.css b/src/reading_structure/print-noun.css new file mode 100644 index 0000000..569eaeb --- /dev/null +++ b/src/reading_structure/print-noun.css @@ -0,0 +1,97 @@ +@page { + /* dimensions for the whole page */ + size: 297mm 420mm; + margin: 7rem 2rem 7rem 2rem; + background-color: #d9d9d6; /* To emulate #dfdfdf on print at PZI Canon MFP */ + position: absolute; + display: table; + + @bottom-center { + content: 'make reading_structure'; + font-family: 'Ubuntu Mono', monospace; + white-space: pre; + color: #000; + padding-bottom: 3em; + } + +} + +/* --- + + ELEMENTS TO CHANGE HIDDEN WORDS AND ACCENT COLOR + + --- */ + +span.word_label, .noun .word { + display: block; + opacity: 0; + width: 100%; + font-size: 1rem; +} + +.noun > .pos { + color: #003cb3; +} + + +/* --- + + BASIC ELEMENTS + + --- */ + +body { + background-color: transparent !important; + font-size: 20px; +} + +.container { +margin: 0 auto; +padding: 3rem 2.5rem; +max-width: 100% !important; +height: 100px !important; +background-color: transparent !important; +border: none !important; + +} + +span.wrapper { + display: inline-block; + font-family: 'PT Serif', serif; + font-size: 1.5rem; + text-align:center; + position: relative; + margin-bottom: 1rem; + color: #000; +} + +.action-container { + display: none; +} + +/* --- + + ELEMENTS IN .WRAPPER + + --- */ + +.word, .tag { + display: block; + position: relative; + margin: 0 auto; + clear:both; +} + +.word { + margin-top: 0.2rem; +} + +span.invisible { + +} + +span.tag { + color: #fff; + font-family: 'Ubuntu Mono', monospace; + font-size: 0.8rem; +} diff --git a/src/reading_structure/print.css b/src/reading_structure/print-stopword.css similarity index 63% rename from src/reading_structure/print.css rename to src/reading_structure/print-stopword.css index 189288f..084f07a 100644 --- a/src/reading_structure/print.css +++ b/src/reading_structure/print-stopword.css @@ -1,19 +1,40 @@ @page { /* dimensions for the whole page */ - size: A3 portrait; - margin: 2rem 2rem 3em 2rem; - background-color: #003cb3; + size: 297mm 420mm; + margin: 7rem 2rem 7rem 2rem; + background-color: #d9d9d6; /* To emulate #dfdfdf on print at PZI Canon MFP */ + position: absolute; + display: table; @bottom-center { - content: 'make output/reading_structure'; + content: 'make reading_structure'; font-family: 'Ubuntu Mono', monospace; white-space: pre; - color: #fff; - padding-bottom: 2rem; + color: #000; + padding-bottom: 3em; } } +/* --- + + ELEMENTS TO CHANGE HIDDEN WORDS AND ACCENT COLOR + + --- */ + +span.word_label, .stopword .word { + display: block; + opacity: 0; + width: 100%; + font-size: 1rem; +} + + +.stopword > .wordtype { + color: #b83e54; +} + + /* --- BASIC ELEMENTS @@ -21,17 +42,18 @@ --- */ body { - background-color: none !important; + background-color: transparent !important; font-size: 20px; } .container { margin: 0 auto; -padding: 2rem 2.5rem; +padding: 3rem 2.5rem; max-width: 100% !important; -min-height: 90% !important; -background-color: #003cb3 !important; +height: 100px !important; +background-color: transparent !important; border: none !important; + } span.wrapper { @@ -41,7 +63,7 @@ span.wrapper { text-align:center; position: relative; margin-bottom: 1rem; - color: #fff; + color: #000; } .action-container { @@ -71,29 +93,6 @@ span.invisible { span.tag { color: #fff; - opacity: 0.5; font-family: 'Ubuntu Mono', monospace; font-size: 0.8rem; } - -/* Show original word when hovering label */ -span.word_label, .stopword .word { - display: block; - opacity: 0; - width: 100%; - font-size: 1rem; -} - -.stopword > .wordtype:hover, { - opacity: 1; - /*color: red;*/ -} - -.stopword > .wordtype { - opacity: 1; -} - -/* Spacing fix for punctuation */ -.punctuation { - margin-left: -4px; -} diff --git a/src/reading_structure/reading_structure.py b/src/reading_structure/reading_structure.py index 3a6e8a2..2efdfba 100644 --- a/src/reading_structure/reading_structure.py +++ b/src/reading_structure/reading_structure.py @@ -3,9 +3,10 @@ import nltk import json import os from sys import stdin, stdout -from nltk import ne_chunk, pos_tag, word_tokenize +from nltk import pos_tag, word_tokenize from nltk.sentiment.vader import SentimentIntensityAnalyzer from nltk.corpus import stopwords +import spacy from jinja2 import Template # == INPUT AND TOKENIZE == @@ -13,20 +14,20 @@ from jinja2 import Template input = stdin.read() words = nltk.word_tokenize(input) words_and_tags = {index : {'word':word} for index , word in enumerate(words)} -print(words_and_tags) +#print(words_and_tags) -# == FILTER FUNCTIONS == +# == TAGGING FUNCTIONS == # === 1. POS_tagger & Named Entity Recognizer === # This function cuts a string into words. Then runs a POS tagger for each word. Returns a list with tags def POS_tagger(list): taggedwordlist = nltk.pos_tag(list) - for word, pos in nltk.pos_tag(list): taggedwordlist = nltk.pos_tag(list) #print('{0} is a {1}'.format(word,pos)) # Comment out to print the analysis step - print(taggedwordlist) + #print(taggedwordlist) + taglist = [ pos for word,pos in taggedwordlist ] POS_tags = [] @@ -35,7 +36,7 @@ def POS_tagger(list): POS_tag = 'noun' elif tag in {'VB','VBD','VBG','VBN','VBP','VBZ'}: POS_tag = 'verb' - elif tag in {'RB','RBR','RBS','WRB'}: + elif tag in {'RB','RBR','RBS','WRB', 'RP'}: POS_tag = 'adverb' elif tag in {'PRP','PRP$'}: POS_tag = 'pronoun' @@ -68,14 +69,16 @@ def POS_tagger(list): elif tag == 'CD': POS_tag = 'cardinal number' elif tag == 'TO': - POS_tag = 'infinitival to' + POS_tag = 'to' elif tag == '.': POS_tag = 'line ending' elif tag == ',': POS_tag = 'comma' else: POS_tag = tag + POS_tags.append(POS_tag) + #print(POS_tag) return POS_tags; @@ -113,12 +116,67 @@ def stopword_tagger(word): return stopword_tag +# === 4. Named Entity tagger === +def ner_tagger(list): + ner_en = spacy.load('en_core_web_sm') # use English model for SpaCy + #ner_en = spacy.load('xx_ent_wiki_sm') # use multilingual model (performance was less than the English model in my use case) + text = " ".join(list) # Convert NLTK tokens back to string, so SpaCy can change it to its own format + + ner_spacy_doc = ner_en(text) + ner_tags = [] + + for word in ner_spacy_doc: + #print(word.ent_type_) + + if word.ent_type_ == "PERSON": + ner_tag = 'person' + elif word.ent_type_ == 'NORP': + ner_tag = 'group' + elif word.ent_type_ == 'FACILITY': + ner_tag = 'facility' + elif word.ent_type_ == 'ORG': + ner_tag = 'organisation' + elif word.ent_type_ in {'GPE','LOC'}: + ner_tag = 'location' + elif word.ent_type_ == 'PRODUCT': + ner_tag = 'product' + elif word.ent_type_ == 'EVENT': + ner_tag = 'event' + elif word.ent_type_ == 'WORK_OF_ART': + ner_tag = 'artwork' + elif word.ent_type_ == 'LAW': + ner_tag = 'law' + elif word.ent_type_ == 'LANGUAGE': + ner_tag = 'language' + elif word.ent_type_ == 'DATE': + ner_tag = 'date' + elif word.ent_type_ == 'TIME': + ner_tag = 'time' + elif word.ent_type_ == 'PERCENT': + ner_tag = 'percentage' + elif word.ent_type_ == 'MONEY': + ner_tag = 'monetary value' + elif word.ent_type_ == 'QUANTITY': + ner_tag = 'measurement' + elif word.ent_type_ == 'ORDINAL': + ner_tag = 'ordinal' + elif word.ent_type_ == 'CARDINAL': + ner_tag = 'numeral' + else: + ner_tag = 'no entity' + + ner_tags.append(ner_tag) + + print(ner_tags) + return ner_tags + # Run POS tagger -# This tagger outputs a list for all items in the dict at once +# These tagger outputs a list for all items in the dict at once # To avoid double work, it is better to keep this outside the for loop POS_tags = POS_tagger(words) sentiment_tags = sentiment_tagger(words) +ner_tags = ner_tagger(words) i = 0 # Adding tags to words in dictionary, which will be exported as a json file @@ -129,24 +187,28 @@ for item, value in words_and_tags.items(): # POS pos_tag = POS_tags[i] words_and_tags[item]['POS'] = pos_tag - #i = i+1 # Add sentiment tag #sentiment_tag = sentiment_tagger(word) #words_and_tags[item]['sentiment'] = sentiment_tag sentiment_tag = sentiment_tags[i] words_and_tags[item]['sentiment'] = sentiment_tag + + # Named Entity Recognition + ner_tag = ner_tags[i] + words_and_tags[item]['named entity'] = ner_tag + + # Move to the next word in the tokenized words dictionary i = i+1 # Add stopword tag stopword_tag = stopword_tagger(word) words_and_tags[item]['wordtype'] = stopword_tag - # Add entity tag - # Not functional yet # Save data into a json file -print(words_and_tags) +#print(words_and_tags) + #with open("data.json", 'w') as f: with open(os.path.dirname(os.path.dirname(os.path.dirname( __file__ ))) + "output/reading_structure/data.json", 'w') as f: json.dump(words_and_tags, f, ensure_ascii=False) @@ -159,7 +221,7 @@ index_render = template.render(words_and_tags=words_and_tags) #print(text_render) # And render an html file! -print(index_render) +#print(index_render) index_open = open("output/reading_structure/index.html", "w") index_open.write(index_render) index_open.close() diff --git a/src/reading_structure/script.js b/src/reading_structure/script.js index aa97bf7..ac1a7f2 100644 --- a/src/reading_structure/script.js +++ b/src/reading_structure/script.js @@ -28,8 +28,8 @@ $(document).ready(function(){ var stopword_label = $('.stopword > .wordtype'); // State 2 Selectors for the sentiment tagger, showing neutral words and their labels - var posneg_word = $('.negative > .word, .positive > .word'); - var posneg_label = $('.negative > .sentiment, .positive > .sentiment'); + var known_entity_word = $('.known_entity > .word, .pronoun > .word'); + var known_entity_label = $('.known_entity > .ner, .pronoun > .pos'); // State 3 Selectors for the noun taggger var noun_word = $('.noun > .word'); @@ -60,13 +60,17 @@ $(document).ready(function(){ stopword_word.removeClass('word_label'); stopword_label.addClass('invisible'); - posneg_word.addClass('word_label'); - posneg_label.removeClass('invisible'); + $("#poster").prop("href", "poster_neutral.pdf") + + neutral_word.addClass('word_label'); + neutral_label.removeClass('invisible'); } if (state == 2) { - posneg_word.removeClass('word_label'); - posneg_label.addClass('invisible'); + neutral_word.removeClass('word_label'); + neutral_label.addClass('invisible'); + + $("#poster").prop("href", "poster_noun.pdf") noun_word.addClass('word_label'); noun_label.removeClass('invisible'); @@ -76,6 +80,8 @@ $(document).ready(function(){ noun_word.removeClass('word_label'); noun_label.addClass('invisible'); + $("#poster").prop("href", "poster_adv.pdf") + ad_word.addClass('word_label'); ad_label.removeClass('invisible'); } @@ -84,6 +90,8 @@ $(document).ready(function(){ ad_word.removeClass('word_label'); ad_label.addClass('invisible'); + $("#poster").prop("href", "poster_dppt.pdf") + dppt_word.addClass('word_label'); dppt_label.removeClass('invisible'); } @@ -92,13 +100,17 @@ $(document).ready(function(){ dppt_word.removeClass('word_label'); dppt_label.addClass('invisible'); - neutral_word.addClass('word_label'); - neutral_label.removeClass('invisible'); + $("#poster").prop("href", "poster_named_entities.pdf") + + known_entity_word.addClass('word_label'); + known_entity_label.removeClass('invisible'); } if (state == 6) { - neutral_word.removeClass('word_label'); - neutral_label.addClass('invisible'); + known_entity_word.removeClass('word_label'); + known_entity_label.addClass('invisible'); + + $("#poster").prop("href", "poster_stopword.pdf") stopword_word.addClass('word_label'); stopword_label.removeClass('invisible'); diff --git a/src/reading_structure/style.css b/src/reading_structure/style.css index 05ebdc9..943e7fb 100644 --- a/src/reading_structure/style.css +++ b/src/reading_structure/style.css @@ -5,7 +5,7 @@ --- */ body { - background-color: #dfdfdf; + background-color: #d9d9d6; } .container { @@ -120,15 +120,11 @@ span.word_label { } .neutral .sentiment { - color: #8491a5; + color: #a500ff; } -.negative .sentiment { - color: #c9805b; -} - -.positive .sentiment { - color: #44a889; +.known_entity .ner, .pronoun .pos { + color: #00cccc; } .adjective .pos, .adverb .pos { diff --git a/src/reading_structure/template.html b/src/reading_structure/template.html index 0aa6b51..b2f763f 100644 --- a/src/reading_structure/template.html +++ b/src/reading_structure/template.html @@ -13,7 +13,8 @@

{% for item, value in words_and_tags.items() %} - + + @@ -26,7 +27,7 @@

diff --git a/src/replace_leastcommon.py b/src/replace_leastcommon.py index faa697b..5a2838d 100644 --- a/src/replace_leastcommon.py +++ b/src/replace_leastcommon.py @@ -63,8 +63,8 @@ def filternone(word_raw): x = -1 leastcommon_list = [] allwords = [] -scanimg = glob.glob('images-tiff/*.tiff') -hocr = glob.glob('hocr/*.html') +scanimg = sorted(glob.glob('images-tiff/*.tiff')) +hocr = sorted(glob.glob('hocr/*.html')) num = 0 maximum = 20 / len(scanimg) # this helps the script remove words in a way that is proportional to number of pages scanned @@ -183,3 +183,13 @@ for f in files: os.remove(f) shutil.rmtree('./temp/') + + + + + + + # DO WHAT THE FUCK YOU WANT TO PUBLIC LICENSE + # TERMS AND CONDITIONS FOR COPYING, DISTRIBUTION AND MODIFICATION + + # 0. You just DO WHAT THE FUCK YOU WANT TO. diff --git a/src/showData.html b/src/showData.html new file mode 100644 index 0000000..45799d0 --- /dev/null +++ b/src/showData.html @@ -0,0 +1,111 @@ + + + + + + +

nouns

+

verbs

+

pronouns

+

adverbs

+

adjectives

+

keywords

+

chars

+ + + +