98 |
99 |
115 |
116 |
117 |
118 |
--------------------------------------------------------------------------------
/driver/chromedriver.exe:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/arch-ith/voice_to_signLanguage/a24bce77cc16d3a8b7ce3d3a801df02ed4cfdc2c/driver/chromedriver.exe
--------------------------------------------------------------------------------
/english.py:
--------------------------------------------------------------------------------
1 | import os
2 | import nltk
3 | from nltk.parse.stanford import StanfordParser
4 | from nltk.stem import WordNetLemmatizer
5 | from nltk.stem import PorterStemmer
6 | from nltk.tree import *
7 | from conf import JAR_DIR
8 | # from nltk.parse.corenlp import stanford
9 |
10 | os.environ['STANFORD_PARSER'] = JAR_DIR
11 | os.environ['STANFORD_MODELS'] = JAR_DIR
12 | os.environ['JAVAHOME'] = "C:/Program Files/Java/jdk-12.0.1/bin/java.exe"
13 | nltk.download('wordnet')
14 |
15 | text = ""
16 |
17 | def filter_stop_words(words):
18 | stopwords_set = set(['a', 'an','am', 'The', 'is','for','to'])
19 | # stopwords_set = set(stopwords.words("english"))
20 | words = list(filter(lambda x: x not in stopwords_set, words))
21 | return words
22 |
23 |
24 | def lemmatize_tokens(token_list):
25 | lemmatizer = WordNetLemmatizer()
26 | ps = PorterStemmer()
27 | lemmatized_words = []
28 | for token in token_list:
29 | #token=ps.stem(token)
30 | token = lemmatizer.lemmatize(token)
31 | lemmatized_words.append(lemmatizer.lemmatize(token,pos="v"))
32 | return lemmatized_words
33 |
34 |
35 | def label_parse_subtrees(parent_tree):
36 | tree_traversal_flag = {}
37 |
38 | for sub_tree in parent_tree.subtrees():
39 | tree_traversal_flag[sub_tree.treeposition()] = 0
40 | return tree_traversal_flag
41 |
42 |
43 | def handle_noun_clause(i, tree_traversal_flag, modified_parse_tree, sub_tree):
44 | # if clause is Noun clause and not traversed then insert them in new tree first
45 | if tree_traversal_flag[sub_tree.treeposition()] == 0 and tree_traversal_flag[sub_tree.parent().treeposition()] == 0:
46 | tree_traversal_flag[sub_tree.treeposition()] = 1
47 | modified_parse_tree.insert(i, sub_tree)
48 | i = i + 1
49 | return i, modified_parse_tree
50 |
51 |
52 | def handle_verb_prop_clause(i, tree_traversal_flag, modified_parse_tree, sub_tree):
53 | # if clause is Verb clause or Proportion clause recursively check for Noun clause
54 | for child_sub_tree in sub_tree.subtrees():
55 | if child_sub_tree.label() == "NP" or child_sub_tree.label() == 'PRP':
56 | if tree_traversal_flag[child_sub_tree.treeposition()] == 0 and tree_traversal_flag[child_sub_tree.parent().treeposition()] == 0:
57 | tree_traversal_flag[child_sub_tree.treeposition()] = 1
58 | modified_parse_tree.insert(i, child_sub_tree)
59 | i = i + 1
60 | return i, modified_parse_tree
61 |
62 |
63 | def modify_tree_structure(parent_tree):
64 | # Mark all subtrees position as 0
65 | tree_traversal_flag = label_parse_subtrees(parent_tree)
66 | # Initialize new parse tree
67 | modified_parse_tree = Tree('ROOT', [])
68 | i = 0
69 | for sub_tree in parent_tree.subtrees():
70 | if sub_tree.label() == "NP":
71 | i, modified_parse_tree = handle_noun_clause(i, tree_traversal_flag, modified_parse_tree, sub_tree)
72 | if sub_tree.label() == "VP" or sub_tree.label() == "PRP":
73 | i, modified_parse_tree = handle_verb_prop_clause(i, tree_traversal_flag, modified_parse_tree, sub_tree)
74 |
75 | # recursively check for omitted clauses to be inserted in tree
76 | for sub_tree in parent_tree.subtrees():
77 | for child_sub_tree in sub_tree.subtrees():
78 | if len(child_sub_tree.leaves()) == 1: #check if subtree leads to some word
79 | if tree_traversal_flag[child_sub_tree.treeposition()] == 0 and tree_traversal_flag[child_sub_tree.parent().treeposition()] == 0:
80 | tree_traversal_flag[child_sub_tree.treeposition()] = 1
81 | modified_parse_tree.insert(i, child_sub_tree)
82 | i = i + 1
83 |
84 | return modified_parse_tree
85 |
86 | def convert_eng_to_isl(input_string):
87 |
88 | if len(list(input_string.split(' '))) == 1:
89 | return list(input_string.split(' '))
90 |
91 | # Initializing stanford parser
92 | parser = StanfordParser()
93 |
94 | # Generates all possible parse trees sort by probability for the sentence
95 | possible_parse_tree_list = [tree for tree in parser.parse(input_string.split())]
96 |
97 | # Get most probable parse tree
98 | parse_tree = possible_parse_tree_list[0]
99 | <<<<<<< HEAD
100 | #print(parse_tree)
101 | =======
102 | print(parse_tree)
103 | >>>>>>> 8e43ad3c63987396256069fbf73746d9afc7e284
104 |
105 | # Convert into tree data structure
106 | parent_tree = ParentedTree.convert(parse_tree)
107 |
108 | modified_parse_tree = modify_tree_structure(parent_tree)
109 |
110 | parsed_sent = modified_parse_tree.leaves()
111 | return parsed_sent
112 |
113 | def pre_process(sentence):
114 | words = list(sentence.split())
115 | f = open('words.txt', 'r')
116 | eligible_words = f.read()
117 | f.close()
118 | final_string = ""
119 |
120 | for word in words:
121 | if word not in eligible_words:
122 | for letter in word:
123 | final_string += " " + letter
124 | else:
125 | final_string += " " + word
126 |
127 | return final_string
128 |
129 | # DRIVER CODE
130 |
131 | def isl(text):
132 | input_string = text.capitalize()
133 | <<<<<<< HEAD
134 | #print(input_string)
135 | isl_parsed_token_list = convert_eng_to_isl(input_string)
136 | #print("isl parsed token list: ",isl_parsed_token_list)
137 | # lemmatize tokens
138 | lemmatized_isl_token_list = lemmatize_tokens(isl_parsed_token_list)
139 | #print("LEMMATIZED WORDS",lemmatized_isl_token_list)
140 |
141 | # remove stop words
142 | filtered_isl_token_list = filter_stop_words(lemmatized_isl_token_list)
143 | #print("filtered isl token list",filtered_isl_token_list)
144 | =======
145 | print(input_string)
146 | isl_parsed_token_list = convert_eng_to_isl(input_string)
147 | print("isl parsed token list: ",isl_parsed_token_list)
148 | # lemmatize tokens
149 | lemmatized_isl_token_list = lemmatize_tokens(isl_parsed_token_list)
150 | print("LEMMATIZED WORDS",lemmatized_isl_token_list)
151 |
152 | # remove stop words
153 | filtered_isl_token_list = filter_stop_words(lemmatized_isl_token_list)
154 | print("filtered isl token list",filtered_isl_token_list)
155 | >>>>>>> 8e43ad3c63987396256069fbf73746d9afc7e284
156 | isl_text_string = ""
157 |
158 | for token in filtered_isl_token_list:
159 | isl_text_string += token
160 | isl_text_string += " "
161 |
162 | isl_text_string = isl_text_string.lower()
163 |
164 | <<<<<<< HEAD
165 | #print(isl_text_string)
166 | =======
167 | print(isl_text_string)
168 | >>>>>>> 8e43ad3c63987396256069fbf73746d9afc7e284
169 |
170 |
171 | isl(text)
--------------------------------------------------------------------------------
/fetchLink.py:
--------------------------------------------------------------------------------
1 | from conf import DRIVER_DIR
2 | from selenium import webdriver
3 | import time
4 | from selenium.webdriver.common.keys import Keys
5 | from selenium.common.exceptions import NoSuchElementException
6 | from selenium.webdriver.support.ui import WebDriverWait # for implicit and explict waits
7 | from selenium.webdriver.chrome.options import Options # for suppressing the browser
8 | # !Make sure you use same VERSION OF CHROME AND DRIVER
9 | def getLink(word):
10 | #print("recives word is "+word+"\n")
11 | PATH =DRIVER_DIR
12 | options = Options()
13 | options.add_argument('--headless')
14 | options.add_argument('--allow-running-insecure-content')
15 | options.add_argument('--ignore-ssl-errors')
16 | options.add_argument('--ignore-certificate-errors')
17 | driver = webdriver.Chrome(PATH,options=options)
18 | #link to get videoptions=option
19 |
20 | """
21 | driver.get('https://www.talkinghands.co.in/video/'+word)
22 | time.sleep(0.5)
23 | try:
24 | value_xpath=driver.find_element_by_css_selector('iframe[id*=idfitvid]')
25 | print(value_xpath)
26 | link=value_xpath.get_attribute('src')
27 | print(link)
28 | return link
29 | except NoSuchElementException:
30 | print("Not found in talking hands")
31 | """
32 | driver.get("https://www.talkinghands.co.in/video/"+word+"mp4")
33 | time.sleep(0.1)
34 | try:
35 | value_xpath=driver.find_element_by_xpath('/html/body/div[3]/div/div[2]/div/div[1]/div/div/div/video/source')
36 | link=value_xpath.get_attribute('src')
37 | #print(link)
38 | return link
39 | except NoSuchElementException:
40 | #print("Not found in talking hands")
41 | sss="nfth"
42 |
43 |
44 | driver.get("http://indiansignlanguage.org/"+word+"/")
45 | time.sleep(0.1)
46 | try:
47 | value_xpath=driver.find_element_by_xpath("/html/body/div/div[2]/div/div/div[1]/main/article/div/div/div/iframe")
48 | link=value_xpath.get_attribute('src')
49 | #print(link)
50 | return link
51 | except NoSuchElementException:
52 | #print("Not found in isl")
53 | sss="nfth"
54 | #print("Link not found")
55 | driver.close()
56 | return 0
--------------------------------------------------------------------------------
/filedwtest.py:
--------------------------------------------------------------------------------
1 | from pytube import YouTube
2 | from conf import SAMPLE_INPUTS,SAMPLE_OUTPUTS
3 | import os
4 | import re,wget
5 | import urllib.request
6 | import ssl
7 | ssl._create_default_https_context = ssl._create_unverified_context
8 |
9 |
10 | os.chdir(SAMPLE_INPUTS)
11 | link='https://www.youtube.com/watch?v=YgPYFmM4Sl0&ab_channel=TheSpecialGurujiOfficialTheSpecialGurujiOfficial'
12 |
13 | if re.match('^(https?\:\/\/)?(www\.youtube\.com|youtu\.?be)\/.+$',link):
14 | clip = YouTube(link)
15 | clip.streams.first().download()
16 | else:
17 | wget.download(link,out=SAMPLE_INPUTS)
--------------------------------------------------------------------------------
/map.py:
--------------------------------------------------------------------------------
1 | import glob, os
2 | from moviepy.editor import *
3 | from conf import SAMPLE_INPUTS,SAMPLE_OUTPUTS
4 |
5 |
6 | s = "his brother become soldier"
7 | s= list(s.split(" "))
8 | c=0
9 | dic = {}
10 | for w in s:
11 | dic[c]=w
12 | c+=1
13 | clips = [None]*len(s)
14 |
15 | os.chdir(SAMPLE_INPUTS)
16 | for key, value in dic.items():
17 | for file in glob.glob("*.mp4"):
18 | if value.lower() ==os.path.splitext(file)[0].lower():
19 | clip = VideoFileClip(file)
20 | clips[key]=clip
21 | break
22 | #print(clips)
23 |
--------------------------------------------------------------------------------
/package-lock.json:
--------------------------------------------------------------------------------
1 | {
2 | "name": "voice_to_signlanguage",
3 | "version": "1.0.0",
4 | "lockfileVersion": 1,
5 | "requires": true,
6 | "dependencies": {
7 | "@sindresorhus/is": {
8 | "version": "0.14.0",
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102 | "content-type": "~1.0.4",
103 | "debug": "2.6.9",
104 | "depd": "~1.1.2",
105 | "http-errors": "1.7.2",
106 | "iconv-lite": "0.4.24",
107 | "on-finished": "~2.3.0",
108 | "qs": "6.7.0",
109 | "raw-body": "2.4.0",
110 | "type-is": "~1.6.17"
111 | }
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119 | "camelcase": "^5.3.1",
120 | "chalk": "^3.0.0",
121 | "cli-boxes": "^2.2.0",
122 | "string-width": "^4.1.0",
123 | "term-size": "^2.1.0",
124 | "type-fest": "^0.8.1",
125 | "widest-line": "^3.1.0"
126 | },
127 | "dependencies": {
128 | "ansi-styles": {
129 | "version": "4.3.0",
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133 | "color-convert": "^2.0.1"
134 | }
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140 | "requires": {
141 | "ansi-styles": "^4.1.0",
142 | "supports-color": "^7.1.0"
143 | }
144 | },
145 | "color-convert": {
146 | "version": "2.0.1",
147 | "resolved": "https://registry.npmjs.org/color-convert/-/color-convert-2.0.1.tgz",
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149 | "requires": {
150 | "color-name": "~1.1.4"
151 | }
152 | },
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154 | "version": "1.1.4",
155 | "resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.4.tgz",
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157 | },
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160 | "resolved": "https://registry.npmjs.org/has-flag/-/has-flag-4.0.0.tgz",
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162 | },
163 | "supports-color": {
164 | "version": "7.2.0",
165 | "resolved": "https://registry.npmjs.org/supports-color/-/supports-color-7.2.0.tgz",
166 | "integrity": "sha512-qpCAvRl9stuOHveKsn7HncJRvv501qIacKzQlO/+Lwxc9+0q2wLyv4Dfvt80/DPn2pqOBsJdDiogXGR9+OvwRw==",
167 | "requires": {
168 | "has-flag": "^4.0.0"
169 | }
170 | }
171 | }
172 | },
173 | "brace-expansion": {
174 | "version": "1.1.11",
175 | "resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-1.1.11.tgz",
176 | "integrity": "sha512-iCuPHDFgrHX7H2vEI/5xpz07zSHB00TpugqhmYtVmMO6518mCuRMoOYFldEBl0g187ufozdaHgWKcYFb61qGiA==",
177 | "requires": {
178 | "balanced-match": "^1.0.0",
179 | "concat-map": "0.0.1"
180 | }
181 | },
182 | "braces": {
183 | "version": "3.0.2",
184 | "resolved": "https://registry.npmjs.org/braces/-/braces-3.0.2.tgz",
185 | "integrity": "sha512-b8um+L1RzM3WDSzvhm6gIz1yfTbBt6YTlcEKAvsmqCZZFw46z626lVj9j1yEPW33H5H+lBQpZMP1k8l+78Ha0A==",
186 | "requires": {
187 | "fill-range": "^7.0.1"
188 | }
189 | },
190 | "bytes": {
191 | "version": "3.1.0",
192 | "resolved": "https://registry.npmjs.org/bytes/-/bytes-3.1.0.tgz",
193 | "integrity": "sha512-zauLjrfCG+xvoyaqLoV8bLVXXNGC4JqlxFCutSDWA6fJrTo2ZuvLYTqZ7aHBLZSMOopbzwv8f+wZcVzfVTI2Dg=="
194 | },
195 | "cacheable-request": {
196 | "version": "6.1.0",
197 | "resolved": "https://registry.npmjs.org/cacheable-request/-/cacheable-request-6.1.0.tgz",
198 | "integrity": "sha512-Oj3cAGPCqOZX7Rz64Uny2GYAZNliQSqfbePrgAQ1wKAihYmCUnraBtJtKcGR4xz7wF+LoJC+ssFZvv5BgF9Igg==",
199 | "requires": {
200 | "clone-response": "^1.0.2",
201 | "get-stream": "^5.1.0",
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1328 | "integrity": "sha512-AvHcyZ5JnSfq3ioSyjrBkH9yW4m7Ayk8/9My/DD9onKeu/94fwrMocemO2QAJFAlnnDN+ZDS+ZjAR5ua1/PV/Q==",
1329 | "requires": {
1330 | "imurmurhash": "^0.1.4",
1331 | "is-typedarray": "^1.0.0",
1332 | "signal-exit": "^3.0.2",
1333 | "typedarray-to-buffer": "^3.1.5"
1334 | }
1335 | },
1336 | "xdg-basedir": {
1337 | "version": "4.0.0",
1338 | "resolved": "https://registry.npmjs.org/xdg-basedir/-/xdg-basedir-4.0.0.tgz",
1339 | "integrity": "sha512-PSNhEJDejZYV7h50BohL09Er9VaIefr2LMAf3OEmpCkjOi34eYyQYAXUTjEQtZJTKcF0E2UKTh+osDLsgNim9Q=="
1340 | }
1341 | }
1342 | }
1343 |
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/package.json:
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1 | {
2 | "name": "voice_to_signlanguage",
3 | "version": "1.0.0",
4 | "description": "",
5 | "main": "sever.js",
6 | "dependencies": {
7 | "ejs": "^3.1.6",
8 | "express": "^4.17.1",
9 | "nodemon": "^2.0.7"
10 | },
11 | "devDependencies": {},
12 | "scripts": {
13 | "test": "echo \"Error: no test specified\" && exit 1"
14 | },
15 | "repository": {
16 | "type": "git",
17 | "url": "git+https://github.com/arch-ith/voice_to_signLanguage.git"
18 | },
19 | "author": "",
20 | "license": "ISC",
21 | "bugs": {
22 | "url": "https://github.com/arch-ith/voice_to_signLanguage/issues"
23 | },
24 | "homepage": "https://github.com/arch-ith/voice_to_signLanguage#readme"
25 | }
26 |
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/project_ui.html:
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1 |
2 |
3 |
4 |
5 |
6 |
100 |
102 | The Original syntax is : <%= normalSyntax%>
The ISL syntax is : <%=islSyntax %>
103 |
114 |
104 |
107 |
108 | arrow_back Go Back
109 |
112 |
113 |
16 |
37 |
38 |
39 |
40 |
41 |
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/public/img/bg3.jpg:
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https://raw.githubusercontent.com/arch-ith/voice_to_signLanguage/a24bce77cc16d3a8b7ce3d3a801df02ed4cfdc2c/public/img/bg3.jpg
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/public/img/bg4.jpg:
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https://raw.githubusercontent.com/arch-ith/voice_to_signLanguage/a24bce77cc16d3a8b7ce3d3a801df02ed4cfdc2c/public/img/bg4.jpg
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/public/img/bg4.png:
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https://raw.githubusercontent.com/arch-ith/voice_to_signLanguage/a24bce77cc16d3a8b7ce3d3a801df02ed4cfdc2c/public/img/bg4.png
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/public/img/videoimg.jpg:
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https://raw.githubusercontent.com/arch-ith/voice_to_signLanguage/a24bce77cc16d3a8b7ce3d3a801df02ed4cfdc2c/public/img/videoimg.jpg
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/public/img/videoimg2.png:
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https://raw.githubusercontent.com/arch-ith/voice_to_signLanguage/a24bce77cc16d3a8b7ce3d3a801df02ed4cfdc2c/public/img/videoimg2.png
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/public/img/videoimg3.PNG:
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https://raw.githubusercontent.com/arch-ith/voice_to_signLanguage/a24bce77cc16d3a8b7ce3d3a801df02ed4cfdc2c/public/img/videoimg3.PNG
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/public/img/videoimg3.jpeg:
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https://raw.githubusercontent.com/arch-ith/voice_to_signLanguage/a24bce77cc16d3a8b7ce3d3a801df02ed4cfdc2c/public/img/videoimg3.jpeg
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/public/speechRecog.js:
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1 | const SpeechRecognition = window.SpeechRecognition || window.webkitSpeechRecognition
2 |
3 | var recognition = new SpeechRecognition();
4 |
5 | var textbox = $("#textbox")
6 | var startbtn = $("#start-btn")
7 |
8 |
9 | var content = ''
10 | recognition.continuous = false
11 |
12 | recognition.onstart = function () {
13 | startbtn.text("Stop")
14 | $('#start-btn').attr('start-btn', 'stop-btn');
15 | }
16 |
17 | recognition.onspeechend = function () {
18 | startbtn.text("Start")
19 | $("#stop-btn").toggleClass('btn btn-dark btn-block');
20 | }
21 |
22 | recognition.onerror = function () {
23 | startbtn.text("Try again")
24 | }
25 |
26 | recognition.onresult = function (event) {
27 | var current = event.resultIndex;
28 | var transcript = event.results[current][0].transcript
29 |
30 | content += transcript
31 | textbox.val(content)
32 | }
33 |
34 | $("#generate-btn").click(function (event) {
35 |
36 | })
37 |
38 | $("#start-btn").click(function (event) {
39 | if (content.length) {
40 | content += ''
41 | }
42 | $('#start-btn').attr('start-btn', 'stop-btn');
43 | recognition.start()
44 | })
45 |
46 | $("#cancel-btn").click(function (event) {
47 | textbox.val('')
48 | content = ''
49 | })
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/s2t.html:
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1 |
2 |
3 |
4 |
5 |
6 |
7 |
8 |
17 |
26 |
18 | 
19 |
20 |
19 |
21 |
25 | Say Something
22 | 23 |You said: the fat cat ate the mouse
24 |
27 |
36 |
28 | 
29 |
34 |
35 |
29 |
34 |
176 |
208 |
177 |
207 |
178 | 
179 |
180 |
179 |
181 |
205 |
206 | 209 |
210 |
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214 |
220 |
221 |
272 |
273 |
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/server.js:
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1 | const express = require("express");
2 |
3 | const { spawn } = require('child_process');
4 | const { Console } = require("console");
5 | const app = express();
6 | const path = require('path');
7 | let ejs = require('ejs');
8 | var bodyParser = require('body-parser');
9 | const fs = require("fs");
10 | app.use(express.urlencoded());
11 | app.use(express.json());
12 | app.set('view engine', 'ejs');
13 |
14 | const port = 3000
15 | let inputLine = ""
16 | let done = false
17 | let dataString = ""
18 | let requiredData = ""
19 | var python = null
20 | //static images file
21 | app.use(express.static('public'));
22 | app.use('/img', express.static('images'));
23 |
24 | //Home page s2t.html
25 | app.get("/", function (req, res) {
26 | inputLine = ""
27 | done = false
28 | dataString = ""
29 | requiredData = ""
30 | if (python != null)
31 | python.kill('SIGINT');
32 | res.sendFile(path.join(__dirname + "/s2t.html"));
33 | });
34 | //Final speach file done.html
35 | app.post("/speach", function (req, res) {
36 | inputLine = req.body.textbox;
37 | //res.sendFile(path.join(__dirname+"/done.html"));
38 | //res.render('result', { done: done, islSyntax: requiredData, normalSyntax: inputLine })
39 |
40 | if (done == false) {
41 | isItDoneYet().then((msg) => {
42 | console.log(msg)
43 | console.log(inputLine)
44 | if (done)
45 | res.render('result', { done: done, islSyntax: requiredData, normalSyntax: inputLine })
46 | console.log("data->\n" + dataString)
47 | let startIndex = dataString.indexOf("ISL:{")
48 | let endIndex = dataString.indexOf("}")
49 | requiredData = dataString.substring(startIndex + 5, endIndex);
50 | res.render('result', { done: done, islSyntax: requiredData, normalSyntax: inputLine })
51 | //res.sendFile(path.join(__dirname + "/done.html"))
52 | done = true;
53 | }).catch((msg) => {
54 | console.log(msg);
55 | })
56 | }
57 | else{
58 | res.render('result', { done: done, islSyntax: requiredData, normalSyntax: inputLine })
59 | }
60 | });
61 | //done request video
62 | app.get("/video", function (req, res) {
63 |
64 | //res.sendFile('/data/samples/output/clipg.mp4', { root: __dirname });
65 | const range = req.headers.range;
66 | if (!range) {
67 | res.status(400).send("Requires Range header");
68 | }
69 |
70 | // get video stats (about 61MB)
71 | const videoPath = path.resolve(__dirname + "/data/samples/output/clipg.mp4");
72 | const videoSize = fs.statSync(videoPath).size;
73 |
74 | // Parse Range
75 | // Example: "bytes=32324-"
76 | const CHUNK_SIZE = 10 ** 6; // 1MB
77 | const start = Number(range.replace(/\D/g, ""));
78 | const end = Math.min(start + CHUNK_SIZE, videoSize - 1);
79 |
80 | // Create headers
81 | const contentLength = end - start + 1;
82 | const headers = {
83 | "Content-Range": `bytes ${start}-${end}/${videoSize}`,
84 | "Accept-Ranges": "bytes",
85 | "Content-Length": contentLength,
86 | "Content-Type": "video/mp4",
87 | };
88 |
89 | // create video read stream for this particular chunk
90 | var videoStream = fs.createReadStream(videoPath, { start, end });
91 |
92 | // HTTP Status 206 for Partial Content
93 | res.writeHead(206, headers);
94 |
95 |
96 | // Stream the video chunk to the client
97 | videoStream.pipe(res);
98 | })
99 |
100 | //this the python promise
101 | const isItDoneYet = () => new Promise((resolve, reject) => {
102 | python = spawn('python', ['speech_recog.py', inputLine])
103 | let c = false
104 | python.stdout.on('data', function (data) {
105 | dataString += data.toString();
106 | })
107 | python.on('exit', (code) => {
108 | console.log(`child process close all stdio with code ${code}`);
109 | if (code == 0)
110 | c = true;
111 | if (c) {
112 | const workDone = 'Here is the thing I built'
113 | resolve(workDone)
114 | } else {
115 | const why = 'Sorry I failed to built it'
116 | reject(why)
117 | }
118 | });
119 |
120 | })
121 |
122 | app.listen(port, () => console.log(`Example app listening on port ${port}!`))
123 |
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/sizetest.py:
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1 | from conf import SAMPLE_INPUTS,SAMPLE_OUTPUTS
2 | from moviepy.editor import *
3 | import glob, os
4 |
5 | os.chdir(SAMPLE_INPUTS)
6 | size=0
7 | for file in glob.glob("*.mp4"):
8 | #print(file,VideoFileClip(file).size)
9 | size=(file,VideoFileClip(file).size)+size
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/speech_recog.py:
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1 | import speech_recognition as sr
2 | import ytdownload,test01,speech_to_isl
3 | import sys
4 | """"
5 | ytdownload.downloader("call accross")
6 | test01.generateclip("call accross")
7 |
8 | s=speech_to_isl.isl(sys.argv[1])
9 |
10 | s=speech_to_isl.isl("I am reading a story")
11 | """
12 | s=speech_to_isl.isl(sys.argv[1])
13 | s=s.strip()
14 | ytdownload.downloader(s)
15 | test01.generateclip(s)
16 | print("done!")
17 |
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/speech_to_isl.py:
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1 | import os
2 | import nltk
3 | import speech_recognition as sr
4 | from nltk.parse.stanford import StanfordParser
5 | from nltk.stem import WordNetLemmatizer
6 | from nltk.tree import *
7 | from conf import JAR_DIR
8 | # from nltk.parse.corenlp import stanford
9 |
10 | os.environ['STANFORD_PARSER'] = JAR_DIR
11 | os.environ['STANFORD_MODELS'] = JAR_DIR
12 | os.environ['JAVAHOME'] = "C:/Program Files/Java/jdk-14.0.2/bin/java.exe"
13 | nltk.download('wordnet')
14 |
15 | def filter_stop_words(words):
16 | stopwords_set = set(['a', 'an','am', 'the','for', 'is','be','to'])
17 | # stopwords_set = set(stopwords.words("english"))
18 | words = list(filter(lambda x: x not in stopwords_set, words))
19 | return words
20 |
21 |
22 | def lemmatize_tokens(token_list):
23 | lemmatizer = WordNetLemmatizer()
24 | lemmatized_words = []
25 | for token in token_list:
26 | token = lemmatizer.lemmatize(token)
27 | lemmatized_words.append(lemmatizer.lemmatize(token,pos="v"))
28 |
29 | return lemmatized_words
30 |
31 |
32 | def label_parse_subtrees(parent_tree):
33 | tree_traversal_flag = {}
34 |
35 | for sub_tree in parent_tree.subtrees():
36 | tree_traversal_flag[sub_tree.treeposition()] = 0
37 | return tree_traversal_flag
38 |
39 |
40 | def handle_noun_clause(i, tree_traversal_flag, modified_parse_tree, sub_tree):
41 | # if clause is Noun clause and not traversed then insert them in new tree first
42 | if tree_traversal_flag[sub_tree.treeposition()] == 0 and tree_traversal_flag[sub_tree.parent().treeposition()] == 0:
43 | tree_traversal_flag[sub_tree.treeposition()] = 1
44 | modified_parse_tree.insert(i, sub_tree)
45 | i = i + 1
46 | return i, modified_parse_tree
47 |
48 |
49 | def handle_verb_prop_clause(i, tree_traversal_flag, modified_parse_tree, sub_tree):
50 | # if clause is Verb clause or Proportion clause recursively check for Noun clause
51 | for child_sub_tree in sub_tree.subtrees():
52 | if child_sub_tree.label() == "NP" or child_sub_tree.label() == 'PRP':
53 | if tree_traversal_flag[child_sub_tree.treeposition()] == 0 and tree_traversal_flag[child_sub_tree.parent().treeposition()] == 0:
54 | tree_traversal_flag[child_sub_tree.treeposition()] = 1
55 | modified_parse_tree.insert(i, child_sub_tree)
56 | i = i + 1
57 | return i, modified_parse_tree
58 |
59 |
60 | def modify_tree_structure(parent_tree):
61 | # Mark all subtrees position as 0
62 | tree_traversal_flag = label_parse_subtrees(parent_tree)
63 | # Initialize new parse tree
64 | modified_parse_tree = Tree('ROOT', [])
65 | i = 0
66 | for sub_tree in parent_tree.subtrees():
67 | if sub_tree.label() == "NP":
68 | i, modified_parse_tree = handle_noun_clause(i, tree_traversal_flag, modified_parse_tree, sub_tree)
69 | if sub_tree.label() == "VP" or sub_tree.label() == "PRP":
70 | i, modified_parse_tree = handle_verb_prop_clause(i, tree_traversal_flag, modified_parse_tree, sub_tree)
71 |
72 | # recursively check for omitted clauses to be inserted in tree
73 | for sub_tree in parent_tree.subtrees():
74 | for child_sub_tree in sub_tree.subtrees():
75 | if len(child_sub_tree.leaves()) == 1: #check if subtree leads to some word
76 | if tree_traversal_flag[child_sub_tree.treeposition()] == 0 and tree_traversal_flag[child_sub_tree.parent().treeposition()] == 0:
77 | tree_traversal_flag[child_sub_tree.treeposition()] = 1
78 | modified_parse_tree.insert(i, child_sub_tree)
79 | i = i + 1
80 |
81 | return modified_parse_tree
82 |
83 | def convert_eng_to_isl(input_string):
84 |
85 | if len(list(input_string.split(' '))) is 1:
86 | return list(input_string.split(' '))
87 |
88 | # Initializing stanford parser
89 | parser = StanfordParser()
90 |
91 | # Generates all possible parse trees sort by probability for the sentence
92 | possible_parse_tree_list = [tree for tree in parser.parse(input_string.split())]
93 |
94 | # Get most probable parse tree
95 | parse_tree = possible_parse_tree_list[0]
96 | #print(parse_tree,"______________________")
97 |
98 | # Convert into tree data structure
99 | parent_tree = ParentedTree.convert(parse_tree)
100 |
101 | #print(parent_tree,"______________________")
102 |
103 | modified_parse_tree = modify_tree_structure(parent_tree)
104 |
105 | parsed_sent = modified_parse_tree.leaves()
106 | return parsed_sent
107 |
108 | def pre_process(sentence):
109 | words = list(sentence.split())
110 | f = open('words.txt', 'r')
111 | eligible_words = f.read()
112 | f.close()
113 | final_string = ""
114 |
115 | for word in words:
116 | if word not in eligible_words:
117 | for letter in word:
118 | final_string += " " + letter
119 | else:
120 | final_string += " " + word
121 |
122 | return final_string
123 |
124 | # DRIVER CODE
125 |
126 | def isl(text):
127 | input_string = text.capitalize()
128 | # input_string = input_string.lower()
129 | isl_parsed_token_list = convert_eng_to_isl(input_string)
130 | #print(isl_parsed_token_list,"_______________________")
131 | # lemmatize tokens
132 | lemmatized_isl_token_list = lemmatize_tokens(isl_parsed_token_list)
133 |
134 | #print(lemmatized_isl_token_list,"_______________________")
135 | # remove stop words
136 | filtered_isl_token_list = filter_stop_words(lemmatized_isl_token_list)
137 |
138 | #print(filtered_isl_token_list,"_______________________")
139 | isl_text_string = ""
140 |
141 | for token in filtered_isl_token_list:
142 | isl_text_string += token
143 | isl_text_string += " "
144 |
145 | isl_text_string = isl_text_string.lower()
146 | print("ISL:{"+isl_text_string+"}")
147 | return isl_text_string
148 |
149 |
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/test01.py:
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1 | from conf import SAMPLE_INPUTS,SAMPLE_OUTPUTS
2 | from moviepy.editor import *
3 | import glob, os
4 |
5 | def generateclip(s):
6 | s= list(s.split(" "))
7 | c=0
8 | dic = {}
9 | for w in s:
10 | dic[c]=w
11 | c+=1
12 | clips = [None]*len(s)
13 |
14 | os.chdir(SAMPLE_INPUTS)
15 | for key, value in dic.items():
16 | for file in glob.glob("*.mp4"):
17 | if value.lower() ==os.path.splitext(file)[0].lower():
18 | clip = VideoFileClip(file)
19 | clips[key]=clip
20 | break
21 | clip = concatenate_videoclips(clips,method='compose')
22 | os.chdir(SAMPLE_OUTPUTS)
23 | clip.write_videofile("clipg.mp4")
24 |
25 | #removing video clips from samples
26 | os.chdir(SAMPLE_INPUTS)
27 | """for file in glob.glob("*.mp4"):
28 | os.remove(file)"""
29 |
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/trim.py:
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1 | from conf import SAMPLE_INPUTS,SAMPLE_OUTPUTS
2 | from moviepy.editor import *
3 | from moviepy.video.io.ffmpeg_tools import ffmpeg_extract_subclip
4 | import glob, os
5 |
6 | os.chdir(SAMPLE_INPUTS)
7 | for file in glob.glob("*.mp4"):
8 | if file=="alpha.mp4":
9 | clip=VideoFileClip(file)
10 | ffmpeg_extract_subclip("num.mp4", 5,7, targetname="numbers/3.mp4")
11 |
12 |
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/views/result.ejs:
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1 |
2 |
3 |
4 |
5 |
6 |
7 | Generating Video. . .
211 | 212 |
107 |
108 |
109 |
126 |
127 |
128 |
129 |
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/ytdownload.py:
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1 | """import fetchLink
2 | from pytube import YouTube
3 | from conf import SAMPLE_INPUTS,SAMPLE_OUTPUTS,SAMPLES
4 | from moviepy.editor import *
5 | import os
6 | import glob
7 | import re,wget
8 | import ssl
9 | ssl._create_default_https_context = ssl._create_unverified_context
10 | os.chdir(SAMPLE_INPUTS)
11 | def downloader(word):
12 | word = list(word.split(" "))
13 | for w in word:
14 | link=fetchLink.getLink(w)
15 | #print("*****************************",link,"******************************")
16 | if link==0:
17 | clips = [None]*len(w)
18 | for i,l in enumerate(w):
19 | filename= l+".mp4"
20 | os.chdir(SAMPLES)
21 | filepath = os.path.join("alphabets", filename)
22 | #print(filepath)
23 | clip= VideoFileClip(filepath)
24 | clips[i]=clip
25 | clip = concatenate_videoclips(clips,method='compose')
26 | os.chdir(SAMPLE_INPUTS)
27 | filename= w+".mp4"
28 | clip.write_videofile(filename)
29 | elif re.match('^(https?\:\/\/)?(www\.youtube\.com|youtu\.?be)\/.+$',link):
30 | clip = YouTube(link)
31 | clip.streams.first().download()
32 | else:
33 | wget.download(link,out=SAMPLE_INPUTS)
34 | """
35 | import fetchLink
36 | from pytube import YouTube
37 | from conf import SAMPLE_INPUTS,SAMPLE_OUTPUTS
38 | from moviepy.editor import *
39 | import os
40 | import re,wget
41 | import ssl
42 | ssl._create_default_https_context = ssl._create_unverified_context
43 |
44 |
45 | os.chdir(SAMPLE_INPUTS)
46 | def downloader(word):
47 | word = list(word.split(" "))
48 | for w in word:
49 | link=fetchLink.getLink(w)
50 | print("**********",link,"***********")
51 | if link==0:
52 | clips = [None]*len(w)
53 | for i,l in enumerate(w):
54 | filename= l+".mp4"
55 | filepath = os.path.join("alphabets", filename)
56 | print(filepath)
57 | clip= VideoFileClip(filepath)
58 | clips[i]=clip
59 | clip = concatenate_videoclips(clips,method='compose')
60 | os.chdir(SAMPLE_INPUTS)
61 | filename= w+".mp4"
62 | clip.write_videofile(filename)
63 |
64 | elif re.match('^(https?\:\/\/)?(www\.youtube\.com|youtu\.?be)\/.+$',link):
65 | clip = YouTube(link)
66 | clip.streams.first().download()
67 | else:
68 | wget.download(link,out=SAMPLE_INPUTS)
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110 |
113 | The Original syntax is : <%= normalSyntax%>
The ISL syntax is : <%=islSyntax %>
111 |
114 |
125 |
115 |
118 |
119 | arrow_back Go Back
120 |
123 |
124 |