Easy way to analyze your text.
18 |This is an open source project managed by Rohit Saini .
19 |
symbol at the top right corner.
37 |
38 | **2.** Clone the forked repository. Open terminal and type:
39 |
40 | ```bash
41 | git clone https://github.com/
97 |
98 | 
99 | [](https://github.com/rockingrohit9639/TextAnalyzer.git)
100 |
101 |
 Rohit Kumar Saini (Author) 💻 |
110 | |||||
 Akash20x 💻 |
113 |  Arbaz Alam 💻 |
114 |  Achyut Kumar Panda 💻 |
115 |  Shudhanshu Singh 💻 |
116 |  Muthu Annamalai.V 💻 |
117 |  Ayush Rastogi 💻 |
118 |
 tharunc 💻 |
121 |  Amit Kumar Mishra 💻 |
122 |  Priya Nagda 💻 |
123 |  pranabprohit 💻 |
124 |  Ashutosh Kumar 💻 |
125 |  Yashasvi 💻 |
126 |
 Mansi 💻 |
129 | Yashasvi 💻 |
130 |
7 | We are the makers/contributors of this project text analyzer where 8 | you can perform operations like capitalize, transform to lowercase/uppercase 9 | and remove punctuation. This is created using Python Django. It is 10 | completely open source hence you too can contribute anything to this project 11 | if you want. All your new ideas are welcome here, we will implement it 12 | together. 13 |
14 | 15 | 20 | 21 |
22 |
50 | Our Contributors
23 | 24 |
25 | {% if userData %}
26 |
27 | {% for data in userData %}
28 |
47 | {% endif %}
48 |
49 | |
30 |
31 |
43 | {{ data.login }} 40 | 42 | |
44 |
Text Analyzed Successfully 🎉
25 |You chose : {{purpose}}
26 |Result :
27 | 28 | {% if highlight %} 29 |{{ highlight }}
30 | {% endif %} 31 | 32 | {{analyzed_text|safe}}
33 | 34 | 35 | {% if synonym %} 36 |
Synonms/Example : {{ synonym }}
37 | {% endif %} 38 | 39 | {% if my_wordcloud %} 40 |Original Text : {{ grammar }}
49 | {% endif %} 50 | 51 | 52 | Copy 53 | 54 | 55 | {% if status %} 56 |Status : {{ status }}
57 | 58 | {% if find_image %} 59 | 60 | {% endif %} 61 | 62 | {% if find_channel %} 63 | 64 | {% endif %} 65 | 66 | {% if find_books %} 67 | 68 | {% endif %} 69 | 70 | {% if find_articles %} 71 | 72 | {% endif %} 73 | 74 | {% if make_pdf %} 75 | 76 | {% endif %} 77 | 78 | {% endif %} 79 | 80 |Words : {{ wordcount }}
81 | 82 | {% if analyze_text %} 83 | 84 | {% endif %} 85 | 86 | {% if generate_text %} 87 | 88 | {% endif %} 89 | 90 |
13 |
43 |
44 |
45 |
46 | Medium articles related to {{text}}
14 | 15 |
16 | {% if result %}
17 |
18 |
19 | {% for i in result %}
20 |
40 | {% endif %}
41 |
42 | | 22 | 35 | | 36 |
45 |
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57 |
58 | {% block content %} {% endblock %}
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/templates/books.html:
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1 | {% extends 'base.html' %}
2 |
3 | {% load static %}
4 |
5 | {% block content %}
6 |
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8 |
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41 |
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43 |
44 | Books related to {{text}}
14 | 15 |
16 | {% if result %}
17 |
18 |
19 | {% for i in result %}
20 |
38 | {% endif %}
39 |
40 | |
22 |
23 |
33 | {{ i.title }} 29 |{{i.description_text}} 30 | 32 | |
34 |
{{ text }}
60 | {% endif %} 61 | 62 |
63 | {% for i in link %}
64 | 
65 | {% endfor %}
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70 |
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31 | T.
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Services
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64 | Generate Password
55 |56 |
57 |
59 |
60 |
61 | GO
62 | Generate a random password by entering some text.
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67 | 68 |
74 |
75 | Sentiment Anaysis
66 |67 | 68 |
69 |
71 |
72 | GO
73 | Analyze the sentiments of any text given by you.
70 |
76 |
78 | 79 |
85 |
86 | Search Images
77 |78 | 79 |
80 |
82 |
83 | GO
84 | Search images for any word entered by you.
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101 | 98 |
Get in Touch
99 |100 |
Welcome to Text Analyzer
12 |Add your text below to perform desired operations on it
13 | 14 | 96 |
97 |
98 |
99 |
100 |
101 |
105 |
106 | {% if emptyText %}
107 |
110 | {% endif %}
111 |
112 | Welcome to Text Analyzer
12 |(Text Generator Mode)
13 |14 | Add your text below to perform desired operations on it 15 |
16 | 61 | 62 |
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72 | 15 |
Welcome to Text Analyzer (Pdf Viwer)
16 | 17 |
18 |
20 | {{myvar}}
19 |
13 |
41 |
42 |
43 |
44 | Youtube Channels related to {{text}}
14 | 15 |
16 | {% if result %}
17 |
18 |
19 | {% for i in result %}
20 |
38 | {% endif %}
39 |
40 | |
22 |
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33 | {{ i.channel_name }} 30 | 32 | |
34 |
' + html + '') 57 | return response 58 | 59 | 60 | def index(request): 61 | 62 | return render(request, 'home.html') 63 | 64 | def about(request): 65 | 66 | api_url='https://api.github.com/repos/rockingrohit9639/TextAnalyzer/contributors' 67 | 68 | response = requests.get(api_url).json() 69 | 70 | context = { 71 | "userData": response 72 | } 73 | 74 | return render(request, 'about.html', context) 75 | 76 | def youtube(request): 77 | api=Api(api_key="AIzaSyDHAS3sDLVtUqM1vx-kxykrBHMVSi0BLJI") 78 | query = request.session['user-input'] 79 | res=api.search_by_keywords(q=query,search_type=["channel"],count=25,limit=8) 80 | res=res.to_dict() 81 | res_items=res["items"] 82 | result=[] 83 | 84 | for data in res_items: 85 | temp={ 86 | "channel_name":data["snippet"]["title"], 87 | "channel_url":"https:/www.youtube.com/channel/"+str(data["snippet"]["channelId"]), 88 | "channel_logo":data["snippet"]["thumbnails"]["default"]["url"] 89 | } 90 | 91 | result.append(temp) 92 | 93 | context = { 94 | "result": result, 95 | "text":query 96 | } 97 | 98 | return render(request, 'youtube.html', context) 99 | 100 | def searchBook(request): 101 | GOOGLE_BOOKS_API_KEY="AIzaSyDmymOgoPKQZfhMmd3gd9Be-mM6cb8okeM" 102 | query = request.session['user-input'] 103 | payload = { 104 | "key": GOOGLE_BOOKS_API_KEY, 105 | "maxResults": 6, 106 | "q": query, 107 | } 108 | 109 | resp = requests.get("https://www.googleapis.com/books/v1/volumes", params=payload).json() 110 | res_items = resp["items"] 111 | arr=[] 112 | 113 | 114 | for data in res_items: 115 | try: 116 | temp={ 117 | 'title':data["volumeInfo"]["title"], 118 | 'link':data["volumeInfo"]["infoLink"], 119 | 'description_text':"".join(data["volumeInfo"]["description"].split(".")[0]), 120 | 'thumbnail':data["volumeInfo"]["imageLinks"]["smallThumbnail"], 121 | } 122 | except: 123 | temp={ 124 | 'title':data["volumeInfo"]["title"], 125 | 'link':data["volumeInfo"]["infoLink"], 126 | 'description_text':"Description Not Available", 127 | 'thumbnail':data["volumeInfo"]["imageLinks"]["smallThumbnail"], 128 | } 129 | 130 | arr.append(temp) 131 | 132 | context = { 133 | "result": arr, 134 | "text":query 135 | } 136 | 137 | return render(request, 'books.html', context) 138 | 139 | def articles(request): 140 | Base_string = "https://medium.com/tag/" 141 | query = request.session['user-input'] 142 | url=Base_string + query 143 | res = requests.get(url) 144 | soup = BeautifulSoup(res.text, 'html.parser') 145 | 146 | logo=[] 147 | writer=[] 148 | publisher=[] 149 | title=[] 150 | link=[] 151 | 152 | start = soup.find_all('div',class_='streamItem streamItem--postPreview js-streamItem') 153 | for span in start: 154 | start1=span.find_all('img')[0]['src'] 155 | logo.append(start1) 156 | start2=span.find_all('div',class_='postMetaInline postMetaInline-authorLockup ui-captionStrong u-flex1 u-noWrapWithEllipsis') 157 | for span2 in start2: 158 | start3=span2.find_all('a')[0].text 159 | writer.append(start3) 160 | start4=span2.find_all('a')[1].text 161 | publisher.append(start4) 162 | start5 = span.find_all('h3',class_='graf graf--h3 graf-after--figure graf--title') 163 | for span2 in start5: 164 | start6=span2.text.replace("\xa0",' ') 165 | title.append(start6) 166 | start7=span.find_all('a')[3]['href'] 167 | link.append(start7) 168 | 169 | myDict={"title":[],"writer":[],"publisher":[],"logo":[],"link":[]} 170 | myDict['title'].extend(title) 171 | myDict['writer'].extend(writer) 172 | myDict['publisher'].extend(publisher) 173 | myDict['logo'].extend(logo) 174 | myDict['link'].extend(link) 175 | 176 | arr2 = [] 177 | for i in range(0,7): 178 | try: 179 | temp = { 180 | "title": myDict["title"][i], 181 | "writer": myDict["writer"][i], 182 | "publisher": myDict["publisher"][i], 183 | "logo": myDict["logo"][i], 184 | "link":myDict["link"][i] 185 | } 186 | 187 | except: 188 | temp = { 189 | "title": "Not Available", 190 | "writer": " ", 191 | "publisher":" ", 192 | "logo": " ", 193 | "link":" " 194 | } 195 | 196 | arr2.append(temp) 197 | 198 | context = { 199 | "result": arr2, 200 | "text":query 201 | } 202 | 203 | return render(request, 'articles.html', context) 204 | 205 | 206 | def home(request): 207 | 208 | return render(request, 'index.html') 209 | 210 | 211 | def index2(request): 212 | 213 | return render(request, 'index2.html') 214 | 215 | def get_synonyms(word): 216 | try: 217 | synonyms=[] 218 | res = requests.get('https://www.merriam-webster.com/dictionary/'+word) 219 | soup = BeautifulSoup(res.text, 'lxml') 220 | containers=soup.findAll( 221 | 'ul',{'class':'mw-list'})[0].findAll('li') 222 | for con in containers: 223 | synonyms.append(con.find("a").text) 224 | return synonyms 225 | except: 226 | dictionary=PyDictionary() 227 | testdict=dictionary.synonym(word) 228 | return testdict 229 | 230 | def get_example(word): 231 | try: 232 | res = requests.get('https://www.merriam-webster.com/dictionary/'+word) 233 | soup = BeautifulSoup(res.text, 'lxml') 234 | containers=soup.find("div",{'class':'in-sentences'}).text 235 | example=' '.join(containers.split()).split('.')[3].strip() 236 | return example 237 | except: 238 | return None 239 | 240 | 241 | 242 | def get_words_dict(text): 243 | words_raw = text.split() 244 | words = {} 245 | for word in words_raw: 246 | if word in words: 247 | words[word] += 1 248 | else: 249 | words[word] = 1 250 | 251 | return {key: value for key, value in sorted(words.items(), key=lambda item: item[1], reverse=True)} 252 | 253 | def format_spaces(string1, string2, total_chars=40, min_spaces=1): 254 | num_spaces = total_chars - (len(str(string1)) + min_spaces) 255 | if num_spaces < min_spaces: 256 | num_spaces = min_spaces 257 | 258 | return str(string1) + " " * num_spaces + str(string2) 259 | 260 | def gallery(request): 261 | ACCESS_KEY = 'YBBd6J15p1YwXIV3THzl4Zt3eHiD3BGT8unud0VUNQo' 262 | place = request.session['user-input'] 263 | payload = { 264 | 'query': place, 265 | 'client_id': ACCESS_KEY, 266 | 'per_page': 40, 267 | } 268 | url = 'https://api.unsplash.com/search/photos' 269 | r = requests.get(url, params=payload).json() 270 | 271 | package = json.dumps(r, indent=2) 272 | arr = [] 273 | for data in r['results']: 274 | arr.append(data['urls']['regular']) 275 | 276 | place=place.upper()+":" 277 | context = { 278 | 'link': arr, 279 | 'text': place, 280 | } 281 | return render(request, 'gallery.html', context) 282 | 283 | 284 | 285 | def analyze(request): 286 | 287 | puncts = string.punctuation 288 | word_to_find = request.POST.get("word_input") 289 | djText = request.POST.get('text', 'default') 290 | remPunc = request.POST.get('option','removepunc') 291 | cap = request.POST.get('option','capitalize') 292 | small = request.POST.get('option','toSmall') 293 | upper = request.POST.get('option', 'toUpper') 294 | word_find_flag = request.POST.get('option','word_find') 295 | New_Line = request.POST.get('option','New_line') 296 | Emails= request.POST.get('option','Email_Address') 297 | Links = request.POST.get('option','Links') 298 | Passgen=request.POST.get('option', 'Password_Generator') 299 | search_word=request.POST.get('option', 'Search_word') 300 | gallery=request.POST.get('option', 'q') 301 | Suggest_word=request.POST.get('option', 'suggest_word') 302 | Sen_Analysis=request.POST.get('option', 'Sentiment') 303 | Grammar=request.POST.get('option','grammar') 304 | Channel=request.POST.get('option','suggest_youtube') 305 | books=request.POST.get('option','suggest_books') 306 | replace_input = request.POST.get("other") 307 | 308 | if len(djText)==0: 309 | context = { 310 | 'emptyText': True 311 | } 312 | return render(request, 'index.html', context) 313 | 314 | articles=request.POST.get('option','suggest_articles') 315 | lemmitizer=request.POST.get('option','grammar') 316 | start_pdf=request.POST.get('option','generate_pdf') 317 | replace_text = request.POST.get('option', 'replace') 318 | Word_cloud=request.POST.get('option','wordcloud') 319 | Date=request.POST.get('option','date') 320 | Word_frequency=request.POST.get('option','word_frequency') 321 | 322 | 323 | 324 | analyzed_text = "" 325 | word_status = "" 326 | 327 | countword = len(djText.split()) 328 | 329 | if word_find_flag == "word_find": 330 | if word_to_find != "": 331 | if djText.find(word_to_find) != -1: 332 | word_status = "found" 333 | word=djText.replace(word_to_find,f""""""+word_to_find+"") 334 | djText=word 335 | 336 | try: 337 | synonym_01=get_synonyms(word_to_find) 338 | synonyms2=random.sample(synonym_01,4) 339 | 340 | final="" 341 | for f in synonyms2: 342 | final+=f+" , " 343 | 344 | example=get_example(word_to_find) 345 | 346 | synonyms=final+example 347 | 348 | except: 349 | synonyms="Not Available" 350 | 351 | else: 352 | word_status = "not found" 353 | synonyms="Text Not Found" 354 | 355 | analyzed_text = djText 356 | word_find="Find Word = " + word_to_find 357 | synonym=format_html('{}','green',synonyms) 358 | 359 | result = { 360 | "analyzed_text": analyzed_text, 361 | "highlight":"Chosen word is highlighted in red colour and synonyms/examples in green colour", 362 | "purpose": word_find, 363 | "status": word_status, 364 | "synonym":synonym, 365 | "wordcount": countword, 366 | "analyze_text":True, 367 | "findWord":True 368 | } 369 | 370 | 371 | elif New_Line == "New_line": 372 | for char in djText: 373 | if char == '.': 374 | char='\n'; 375 | analyzed_text = analyzed_text + char 376 | result = { 377 | "analyzed_text": analyzed_text, 378 | "purpose": "Changes '.' to New Line", 379 | "analyze_text":True, 380 | "wordcount": countword 381 | } 382 | elif Emails == "Email_Address": 383 | regex = '^[a-z0-9]+[\._]?[a-z0-9]+[@]\w+[.]\w{2,3}$' 384 | lst= re.findall('\S+@+\S+', djText) 385 | tmp="" 386 | for x in lst: 387 | if(re.search(regex,x)): 388 | tmp+=x 389 | tmp+='\n' 390 | result = { 391 | "analyzed_text": tmp, 392 | "purpose": "Find All Emails", 393 | "analyze_text":True, 394 | "wordcount": countword 395 | } 396 | 397 | elif Passgen=="Password_Generator": 398 | stop_words = set(stopwords.words('english')) 399 | chars = "!£$%&*#@" 400 | ucase_letters = "ABCDEFGHIJKLMNOPQRSTUVWXYZ" 401 | text = re.sub(r'[^\w\s]', '', djText) 402 | token = word_tokenize(text) 403 | 404 | filtered_sentence = [] 405 | 406 | for w in token: 407 | if w not in stop_words: 408 | filtered_sentence.append(w) 409 | 410 | if len(filtered_sentence) > 0: 411 | random_word = random.choice(filtered_sentence) 412 | else: 413 | random_word = token[0] 414 | 415 | random_word=random_word.title() 416 | 417 | merge="" 418 | for word in random_word.split(): 419 | merge+=random.choice(chars)+word[:-1]+ word[-1].upper()\ 420 | +random.choice(string.ascii_letters)+"@"+random.choice(ucase_letters)\ 421 | +random.choice(string.digits)+" " 422 | final_text=merge[:-1] 423 | result = { 424 | "analyzed_text": final_text, 425 | "purpose": "Generate password from text", 426 | "generate_text":True, 427 | "wordcount": countword 428 | } 429 | 430 | elif search_word=="Search_word": 431 | url = 'https://www.dictionary.com/browse/' 432 | headers = requests.utils.default_headers() 433 | headers.update({ 434 | 'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.97 Safari/537.36' 435 | }) 436 | req = requests.get(url+djText, headers) 437 | soup = BeautifulSoup(req.content, 'html.parser') 438 | mydivs = soup.findAll("div", {"value": "1"})[0] 439 | for tags in mydivs: 440 | meaning = tags.text 441 | wrap = textwrap.TextWrapper(width=100) 442 | word_meaning = wrap.fill(text=meaning) 443 | result = { 444 | "analyzed_text": word_meaning, 445 | "purpose": "Searched Word", 446 | "generate_text":True, 447 | "wordcount": countword 448 | } 449 | 450 | 451 | elif Suggest_word=="suggest_word": 452 | find = requests.get(f"https://www.dictionaryapi.com/api/v3/references/thesaurus/json/{djText}?key={api_key}") 453 | response = find.json() 454 | 455 | if len(response) == 0: 456 | print("Word Not Recognized!") 457 | else: 458 | k=[] 459 | if str(response[0]).count(" ") == 0: 460 | for j in range(len(response)): 461 | k.append(response[j]) 462 | predict=" , ".join(k) 463 | djText=predict 464 | 465 | else: 466 | dictionary=PyDictionary() 467 | testdict=dictionary.synonym(djText) 468 | suggest=" , ".join(testdict) 469 | djText=suggest 470 | wrap = textwrap.TextWrapper(width=100) 471 | suggest = wrap.fill(text=djText) 472 | 473 | result = { 474 | "analyzed_text": suggest, 475 | "purpose": "Suggested Word", 476 | "generate_text":True, 477 | "wordcount": countword 478 | } 479 | 480 | elif Sen_Analysis=="Sentiment": 481 | 482 | djText=' '.join(re.sub("(@[A-Za-z0-9]+)|([^0-9A-Za-z \t])|(\w+:\/\/\S+)", " ", djText).split()) 483 | 484 | analysis = TextBlob(djText) 485 | # set sentiment 486 | if analysis.sentiment.polarity > 0: 487 | final=str(djText)+" (Positive Text)" 488 | elif analysis.sentiment.polarity == 0: 489 | final=str(djText)+" (Neutral Text)" 490 | else: 491 | final=str(djText)+" (Negative Text)" 492 | 493 | result = { 494 | "analyzed_text": final, 495 | "purpose": "Sentiment Analysis", 496 | "analyze_text":True, 497 | "wordcount": countword 498 | } 499 | 500 | elif Grammar=="grammar": 501 | parser = GingerIt() 502 | result = parser.parse(djText) 503 | final=result["result"] 504 | 505 | if final=='': 506 | final="Please write some text to check grammar" 507 | 508 | result = { 509 | "analyzed_text": final, 510 | "grammar":djText, 511 | "purpose": "Spelling & Grammar Check", 512 | "analyze_text":True, 513 | "wordcount": countword 514 | } 515 | 516 | elif lemmitizer=="lemmitize": 517 | wordnet_lemmatizer = WordNetLemmatizer() 518 | tokenization = nltk.word_tokenize(djText) 519 | count=True 520 | for w in tokenization: 521 | k=wordnet_lemmatizer.lemmatize(w,pos ="v") 522 | if w!=k: 523 | result="{} -> {}".format(w, wordnet_lemmatizer.lemmatize(w,pos ="v")) 524 | count=False 525 | if count==True: 526 | final="No need for lemmatization" 527 | if count==False: 528 | final="(Original word) - > (Lemmatized word)" 529 | 530 | result = { 531 | "analyzed_text": result, 532 | "highlight":final, 533 | "purpose": "Lemmatization of text", 534 | "analyze_text":True, 535 | "wordcount": countword 536 | } 537 | 538 | 539 | elif Channel=="suggest_youtube": 540 | request.session['user-input']=djText 541 | result = { 542 | "analyzed_text": djText, 543 | "purpose":"Suggest youtube channels", 544 | "status": "Press Button To View Channel links", 545 | "find_channel": True, 546 | "generate_text":True, 547 | "wordcount": countword 548 | } 549 | 550 | elif books=="suggest_books": 551 | request.session['user-input']=djText 552 | result = { 553 | "analyzed_text": djText, 554 | "purpose":"Search Books", 555 | "status": "Press Button To View Books", 556 | "find_books": True, 557 | "generate_text":True, 558 | "wordcount": countword 559 | } 560 | 561 | 562 | elif articles=="suggest_articles": 563 | request.session['user-input']=djText 564 | result = { 565 | "analyzed_text": djText, 566 | "purpose":"Search Articles", 567 | "status": "Press Button To View Articles", 568 | "find_articles": True, 569 | "generate_text":True, 570 | "wordcount": countword 571 | } 572 | 573 | elif start_pdf=="generate_pdf": 574 | request.session['user-input']=djText 575 | result = { 576 | "analyzed_text": "Check Your Pdf", 577 | "purpose":"Generate Pdf", 578 | "status": "Press Button To View Pdf", 579 | "make_pdf": True, 580 | "generate_text":True, 581 | "wordcount": countword 582 | } 583 | 584 | elif replace_text == "replace": 585 | final_text = re.sub(word_to_find, replace_input, djText) 586 | result = { 587 | "analyzed_text": final_text, 588 | "purpose": "Replacemet of text in sentence", 589 | "analyze_text":True, 590 | "wordcount": countword 591 | } 592 | 593 | elif Word_cloud=="wordcloud": 594 | cloud=WordCloud(background_color="white",max_words=200,stopwords=set(STOPWORDS)) 595 | wc=cloud.generate(djText) 596 | buf=io.BytesIO() 597 | wc.to_image().save(buf,format="png") 598 | data=base64.b64encode(buf.getbuffer()).decode("utf8") 599 | final="data:image/png;base64,{}".format(data) 600 | 601 | result = { 602 | "analyzed_text":" ", 603 | "purpose":"Wordcloud", 604 | "my_wordcloud": final, 605 | "generate_text":True, 606 | "wordcount": countword 607 | } 608 | 609 | elif Date=="date": 610 | final=extract_dates(djText) 611 | final_text=final[0].date() 612 | 613 | result = { 614 | "analyzed_text": final_text, 615 | "purpose": "Extract Dates from text", 616 | "analyze_text":True, 617 | "wordcount": countword 618 | } 619 | 620 | elif Word_frequency=="word_frequency": 621 | input_text = djText.replace("\n", " ") 622 | djText = input_text.lower() 623 | 624 | words_dict = get_words_dict(djText) 625 | # create graph 626 | if len(words_dict)>10: 627 | k=10 628 | else: 629 | k=len(words_dict) 630 | 631 | y_pos = range(0, k) 632 | bars = [] 633 | height = [] 634 | count=0 635 | 636 | # print and save values to graph 637 | format_spaces("word", "occurrences") 638 | for word_str, word_amount in words_dict.items(): 639 | format_spaces(word_str, word_amount) 640 | count+=1 641 | if count<=10: 642 | bars.append(word_str) 643 | height.append(int(word_amount)) 644 | else: 645 | pass 646 | 647 | # # Create bars 648 | plt.bar(y_pos, height) 649 | 650 | # Create names on the x-axis 651 | plt.xticks(y_pos, bars, size=9) 652 | 653 | plt.xticks(rotation='horizontal') 654 | plt.ylabel('Word Frequency',fontsize=12,labelpad=10) 655 | plt.xlabel('Words',fontsize=12,labelpad=10) 656 | 657 | fig=plt.gcf() 658 | 659 | buf=BytesIO() 660 | fig.savefig(buf,format='png') 661 | buf.seek(0) 662 | data=base64.b64encode(buf.read()) 663 | uri=urllib.parse.quote(data) 664 | final="data:image/png;base64,{}".format(uri) 665 | 666 | result = { 667 | "analyzed_text": " ", 668 | "purpose": "Word Frequency for every word in text", 669 | "bar_graph": final, 670 | "analyze_text":True, 671 | "wordcount": countword 672 | } 673 | 674 | 675 | elif gallery=="q": 676 | request.session['user-input']=djText 677 | result = { 678 | "analyzed_text": djText, 679 | "purpose":"Images", 680 | "status": "Press Button To View Images", 681 | "find_image": True, 682 | "generate_text":True, 683 | "wordcount": countword 684 | } 685 | 686 | elif remPunc == 'removepunc': 687 | for char in djText: 688 | if char not in puncts: 689 | analyzed_text = analyzed_text + char 690 | result = { 691 | "analyzed_text": analyzed_text, 692 | "purpose": "Remove Punctuations", 693 | "analyze_text":True, 694 | "wordcount": countword 695 | } 696 | elif cap == "capitalize": 697 | analyzed_text = djText.capitalize() 698 | 699 | result = { 700 | "analyzed_text": analyzed_text, 701 | "purpose": "Capitalize", 702 | "analyze_text":True, 703 | "wordcount": countword 704 | } 705 | 706 | elif small == "toSmall": 707 | analyzed_text = djText.lower() 708 | 709 | result = { 710 | "analyzed_text": analyzed_text, 711 | "purpose": "To Smallercase", 712 | "analyze_text":True, 713 | "wordcount": countword 714 | } 715 | 716 | elif upper == "toUpper": 717 | analyzed_text = djText.upper() 718 | 719 | result = { 720 | "analyzed_text": analyzed_text, 721 | "purpose": "To Uppercase", 722 | "analyze_text":True, 723 | "wordcount": countword 724 | } 725 | elif Links == "Links": 726 | pattern = '(?:(?:https?|ftp|file):\/\/|www\.|ftp\.)(?:\([-A-Z0-9+&@#\/%=~_|$?!:,.]*\)|[-A-Z0-9+&@#\/%=~_|$?!:,.])*(?:\([-A-Z0-9+&@#\/%=~_|$?!:,.]*\)|[A-Z0-9+&@#\/%=~_|$])' 727 | links = re.findall(pattern, djText, re.IGNORECASE) 728 | analyzed_text="" 729 | 730 | i = 0 731 | for x in links: 732 | i = i + 1 733 | analyzed_text+=f'Link {i}' 734 | analyzed_text+='\n ' 735 | 736 | result = { 737 | "analyzed_text": analyzed_text, 738 | "purpose": "Find All Links", 739 | "analyze_text":True, 740 | "wordcount": countword 741 | } 742 | 743 | else: 744 | return HttpResponse('''''') 745 | 746 | return render(request, 'analyze.html', result) 747 | 748 | 749 | def contact(request): 750 | if request.method=="POST": 751 | name=request.POST['Name'] 752 | email=request.POST['Email'] 753 | message=request.POST['Message'] 754 | user = User_profile.objects.create(name=name,email=email,message=message) 755 | user.save() 756 | return render(request,"home.html") 757 | 758 | --------------------------------------------------------------------------------