def analyze(): start = time.time() if request.method == 'POST': rawtext = request.form['rawtext'] final_read_time = readingTime(rawtext) #now we need to do #Summarization final_summary = text_summarizer(rawtext) #Reading Time summary_read_time = readingTime(final_summary) end = time.time() final_time = end - start return render_template('index.html', ctext=rawtext, final_summary=final_summary, final_time=final_time, final_read_time=final_read_time, summary_read_time=summary_read_time)
def analyze_url(): start = time.time() session['value'] += 1 if request.method == 'POST': s = session['value'] raw_url = request.form['raw_url'] rawtext = get_text(raw_url) if rawtext == 0 or rawtext is None: flash( 'The website does not contain texts or it does not allow texts to be extracted.', category='alert') rawtext = 'Error' return render_template('index.html', count=session['value'], ctext=rawtext, final_summary=' ', final_time=0, final_reading_time=0, summary_reading_time=0) final_reading_time = readingTime(rawtext) final_summary = text_summarizer(rawtext) summary_reading_time = readingTime(final_summary) end = time.time() final_time = end - start return render_template('index.html', count=session['value'], ctext=rawtext, final_summary=final_summary, final_time=final_time, final_reading_time=final_reading_time, summary_reading_time=summary_reading_time)
def comparer(): start = time.time() if request.method == 'POST': rawtext = request.form['rawtext'] rawtext_total_words = CountWords(rawtext) #spacy final_summary_spacy = text_summarizer(rawtext) total_words_spacy = CountWords(final_summary_spacy) # Gensim Summarizer final_summary_gensim = summarize(rawtext) total_words_gensim = CountWords(final_summary_gensim) # NLTK final_summary_nltk = nltk_summarizer(rawtext) total_words_nltk = CountWords(final_summary_nltk) # Sumy final_summary_sumy = sumy_summary(rawtext) total_words_sumy = CountWords(final_summary_sumy) end = time.time() final_time = end - start return render_template('compare_summary.html', ctext=rawtext, final_summary_spacy=final_summary_spacy, final_summary_gensim=final_summary_gensim, final_summary_nltk=final_summary_nltk, final_time=final_time, rawtext_total_words=rawtext_total_words, total_words_spacy=total_words_spacy, total_words_gensim=total_words_gensim, final_summary_sumy=final_summary_sumy, total_words_sumy=total_words_sumy, total_words_nltk=total_words_nltk)
def comparer(): start = time.time() if request.method == 'POST': rawtext = request.form['rawtext'] final_reading_time = readingTime(rawtext) final_summary_spacy = text_summarizer(rawtext) summary_reading_time = readingTime(final_summary_spacy) # Gensim Summarizer final_summary_gensim = summarize(rawtext) summary_reading_time_gensim = readingTime(final_summary_gensim) # NLTK final_summary_nltk = nltk_summarizer(rawtext) summary_reading_time_nltk = readingTime(final_summary_nltk) # Sumy final_summary_sumy = sumy_summary(rawtext) summary_reading_time_sumy = readingTime(final_summary_sumy) end = time.time() final_time = end - start return render_template( 'compare_summary.html', ctext=rawtext, final_summary_spacy=final_summary_spacy, final_summary_gensim=final_summary_gensim, final_summary_nltk=final_summary_nltk, final_time=final_time, final_reading_time=final_reading_time, summary_reading_time=summary_reading_time, summary_reading_time_gensim=summary_reading_time_gensim, final_summary_sumy=final_summary_sumy, summary_reading_time_sumy=summary_reading_time_sumy, summary_reading_time_nltk=summary_reading_time_nltk)
def use_spacy(): raw_text = str(entry1.get('1.0', tk.END)) final_text = text_summarizer(raw_text) print(final_text) result = '\nSpacy Summary:{}\n'.format(final_text) speak(result) tab4_display.insert(tk.END, result)
def analyze(): global summary_reading_time_nltk start = time.time() if flask.request.method == 'POST': rawtext = flask.request.form['rawtext'] final_reading_time = readingtime(rawtext) final_summary_spacy = text_summarizer(rawtext) summary_reading_time = readingtime(final_summary_spacy) # Gensim Summarizer final_summary_gensim = summarize(rawtext) summary_reading_time_gensim = readingtime(final_summary_gensim) # NLTK final_summary_nltk = nltk_summarizer(rawtext) summary_reading_time_nltk = readingtime(final_summary_nltk) # Sumy final_summary_sumy = sumy_summary(rawtext) summary_reading_time_sumy = readingtime(final_summary_sumy) end = time.time() final_time = end - start return flask.render_template( 'index.html', ctext=rawtext, final_summary_spacy=final_summary_spacy, final_summary_gensim=final_summary_gensim, final_summary_nltk=final_summary_nltk, final_time=final_time, final_reading_time=final_reading_time, summary_reading_time=summary_reading_time, summary_reading_time_gensim=summary_reading_time_gensim, final_summary_sumy=final_summary_sumy, summary_reading_time_sumy=summary_reading_time_sumy, summary_reading_time_nltk=summary_reading_time_nltk)
def get_summary(): raw_text = str(entry.get('1.0', tk.END)) final_text = text_summarizer(raw_text) print(final_text) result = '\nSummary:{}'.format(final_text) speak(result) tab1_display.insert(tk.END, result)
def save_summary(): raw_text = str(entry.get('1.0', tk.END)) final_text = text_summarizer(raw_text) file_name = 'CandidateInfo_' + timestr + '.txt' with open(file_name, 'w') as f: f.write(final_text) result = '\nName of file: {}'.format(file_name) tab3_display.insert(tk.END, result)
def save_summary(): #Save Summary as text file raw_text = str(tab3_display.get('1.0', tk.END)) final_text = text_summarizer(raw_text) file_name = 'File_' + timestr + '.txt' #Setting File Name with open(file_name, 'w') as f: f.write(final_text) #Writing File result = '\nName of file: {}'.format(file_name) tab3_display.insert(tk.END, result)
def save_summary2(): raw_text = str(tab5_display_text.get('1.0', tk.END)) final_text = text_summarizer(raw_text) file_name = 'File_' + timestr + '.txt' with open(file_name, 'w') as f: f.write(final_text) result = '\nName of file: {}'.format(file_name) tab5_display_text.insert(tk.END, result)
def twt_save(): raw_text = str(tab2_display.get('1.0', tk.END)) final_text = text_summarizer(raw_text) file_name = 'CandidatePersonality_' + timestr + '.txt' with open(file_name, 'w') as f: f.write(final_text) result = '\nName of file: {}.'.format(file_name) tab2_display.insert(tk.END, result)
def getsummarizeddata(): if request.method == 'POST': result = getcombinedchats(request.form['meeting']) data = meetingnames() final_reading_time = readingTime(result[0][1]) final_summary = text_summarizer(result[0][1]) summary_reading_time = readingTime(final_summary) # print(final_reading_time, summary_reading_time, "final"+final_summary,) return render_template("summarized.html", result=result, data=data, sumtext=final_summary, final_reading_time=final_reading_time, summary_reading_time=summary_reading_time)
def analyze(): if request.method == 'POST': rawtext = request.form['rawtext'] # Summarization final_summary = text_summarizer( rawtext ) #rawtext is going to be given from our function in the python codes # ReadingTime #we dont care about reading time return render_template('index.html', final_summary=final_summary)
def analyze(): start = time.time() if request.method == 'POST': rawtext = request.form['rawtext'] final_reading_time = "{:.3f}".format(readingTime(rawtext)) final_summary = text_summarizer(rawtext) summary_reading_time = "{:.3f}".format(readingTime(final_summary)) end = time.time() final_time = "{:.3f}".format(end-start) return render_template('index.html',ctext=rawtext,final_summary=final_summary,final_time=final_time,final_reading_time=final_reading_time,summary_reading_time=summary_reading_time)
def comparer(): start = time.time() if request.method == 'POST': rawtext = request.form['rawtext'] final_reading_time = readingTime(rawtext) final_summary_spacy = text_summarizer(rawtext) summary_reading_time = readingTime(final_summary_spacy) #time_saved=final_reading_time-summary_reading_time len_summ = sumlen(final_summary_spacy) #Gensim Summarizer final_summary_gensim = summarize(rawtext) summary_reading_time_gensim = readingTime(final_summary_gensim) #time_saved_gensim=final_reading_time-summary_reading_time_gensim len_gensim = sumlen(final_summary_gensim) # NLTK final_summary_nltk = nltk_summarizer(rawtext) summary_reading_time_nltk = readingTime(final_summary_nltk) #time_saved_nltk=final_reading_time-summary_reading_time_nltk len_nltk = sumlen(final_summary_nltk) # Sumy final_summary_sumy = sumy_summary(rawtext) summary_reading_time_sumy = readingTime(final_summary_sumy) #time_saved_sumy=final_reading_time-summary_reading_time_sumy len_sumy = sumlen(final_summary_sumy) #sumbasic final_summary_sumbasic = main(rawtext) summary_reading_time_sumbasic = readingTime(final_summary_sumbasic) #time_saved_sumbasic=final_reading_time-summary_reading_time_sumbasic len_sumbasic = sumlen(final_summary_sumbasic) #textrank final_summary_textrank = textranksumm(rawtext) summary_reading_time_textrank = readingTime(final_summary_textrank) #time_saved_textrank=final_reading_time-summary_reading_time_textrank len_textrank = sumlen(final_summary_textrank) end = time.time() final_time = end - start return render_template( 'compare_summary.html', ctext=rawtext, final_summary_spacy=final_summary_spacy, final_summary_nltk=final_summary_nltk, final_time=final_time, final_reading_time=final_reading_time, summary_reading_time=summary_reading_time, summary_reading_time_nltk=summary_reading_time_nltk, final_summary_sumbasic=final_summary_sumbasic, summary_reading_time_sumbasic=summary_reading_time_sumbasic, final_summary_textrank=final_summary_textrank, summary_reading_time_textrank=summary_reading_time_textrank, len_summ=len_summ, len_nltk=len_nltk, len_sumbasic=len_sumbasic, len_textrank=len_textrank)
def analyze_url(): start = time.time() if request.method == 'POST': raw_url = request.form['raw_url'] rawtext = get_text(raw_url) final_reading_time = readingTime(rawtext) final_summary = text_summarizer(rawtext) summary_reading_time = readingTime(final_summary) end = time.time() final_time = end-start return render_template('index.html',ctext=rawtext,final_summary=final_summary,final_time=final_time,final_reading_time=final_reading_time,summary_reading_time=summary_reading_time)
def analyze(): start = time.time() if request.method == 'POST': rawtext_t = request.form['rawtext'] final_reading_time = readingTime(rawtext_t) final_summary_t = text_summarizer(rawtext_t) summary_reading_time = readingTime(final_summary_t) end = time.time() final_time = end-start return render_template('index.html',ctext_t=rawtext_t,final_summary_t=final_summary_t,final_time=final_time,final_reading_time_t=final_reading_time,summary_reading_time_t=summary_reading_time,show_result1 = True)
def summarization(data): msg = data["msg"] username = data["username"] final_summary = text_summarizer(msg) room = data["room"] send({ "username": username, "msg": msg, "final_summary": final_summary }, room=room)
def analyze_url(): start = time.time() if request.method == 'POST': raw_url_u = request.form['raw_url'] rawtext_u = get_text(raw_url_u) final_reading_time = readingTime(rawtext_u) final_summary_u = text_summarizer(rawtext_u) summary_reading_time = readingTime(final_summary_u) end = time.time() final_time = end-start return render_template('index.html',ctext_u=rawtext_u,final_summary_u=final_summary_u,final_time=final_time,final_reading_time_u=final_reading_time,summary_reading_time_u=summary_reading_time,show_result2 = True)
def combine(mname): data = getvoices(mname) chats = "" for a, b, c, d in data: chats = chats+" "+b+"." status=storecombinedchats(chats, mname) result = meetingnames() final_summary = text_summarizer(chats) if status==1: return render_template('voicechats.html', chats=final_summary, data=result) else: data = meetingnames() return render_template("voicechats.html", data=data)
def analyze(): start = time.time() if request.method == 'POST': if predict_lst.count("Happy") > 5 or predict_lst.count("Sad") > 5: if predict_lst.count("Happy") > predict_lst.count("Sad"): total_predict = "Happy" else: total_predict = "Sad" else: total_predict = max(predict_lst, key=predict_lst.count) rawtext = request.form['rawtext'] final_reading_time = readingTime(rawtext) final_summary = text_summarizer(rawtext) data = [rawtext] vect = cv.transform(data).toarray() my_predict_prob = classifier.predict_proba(vect) my_pred = classifier.predict(vect) prob = my_predict_prob[0][1] # prob=get_dep_prob(rawtext) preds = predictor.predict(final_summary) emotion_prob = predictor.predict(final_summary, return_proba=True) depression_indicator = ( (emotion_prob[1] + emotion_prob[2] + emotion_prob[3]) - (emotion_prob[0] + emotion_prob[4]) + prob) / 2 depression_indicator = int(depression_indicator * 100) metric = depression_indicator create_new_entry(username="******", password="******", text=rawtext, metric=metric) # data=[rawtext] # vect = cv.transform(rawtext).toarray() # my_predict = classifier.predict(vect) #metric = getDepressionLevel(rawtext) summary_reading_time = readingTime(final_summary) end = time.time() final_time = end - start # return render_template('index.html', ctext=rawtext, final_time=final_time, # final_reading_time=final_reading_time, depress=metric) return render_template('index.html', ctext=rawtext, final_summary=final_summary, final_time=final_time, tp=total_predict, metric=metric, final_reading_time=final_reading_time, summary_reading_time=summary_reading_time, predictions=preds, depress=my_pred)
def analyze(): start = time.time() if request.method == 'POST': rawtext = request.form['rawtext'] rawtext_total_words = CountWords(rawtext) final_summary = text_summarizer(rawtext) summary_total_words = CountWords(final_summary) end = time.time() final_time = end - start return render_template('index.html', ctext=rawtext, final_summary=final_summary, final_time=final_time, rawtext_total_words=rawtext_total_words, summary_total_words=summary_total_words)
def analyze(): start = time.time() session['value'] += 1 if request.method == 'POST': s = session['value'] rawtext = request.form['rawtext'] final_reading_time = readingTime(rawtext) final_summary = text_summarizer(rawtext) summary_reading_time = readingTime(final_summary) end = time.time() final_time = end - start return render_template('index.html', count=s, ctext=rawtext, final_summary=final_summary, final_time=final_time, final_reading_time=final_reading_time, summary_reading_time=summary_reading_time)
def analyze(): start = time.time() if request.method == 'POST': data = request.get_json() rawtext = data['text'] final_reading_time = readingTime(rawtext) final_summary = text_summarizer(rawtext) summary_reading_time = readingTime(final_summary) end = time.time() final_time = end-start res = [] res.append({'ctext': rawtext, 'final_summary': final_summary, 'final_time': final_time, 'final_reading_time': final_reading_time, 'summary_reading_time': summary_reading_time }) return jsonify(res)
def analyze(): start = time.time() if request.method == 'POST': rawtext = request.form['rawtext'] final_reading_time = readingTime(rawtext) final_summary = text_summarizer(rawtext) summary_reading_time = readingTime(final_summary) end = time.time() final_time = end - start gs = goslate.Goslate() translatedText = gs.translate(final_summary, 'hi') return render_template('index.html', ctext=rawtext, final_summary=final_summary, final_time=final_time, final_reading_time=final_reading_time, summary_reading_time=summary_reading_time, translatedText=translatedText)
def analyze(): start = time.time() if request.method == 'POST': rawtext = request.form['rawtext'] blob1 = TextBlob(rawtext) final_reading_time = readingTime(rawtext) final_summary = text_summarizer(rawtext) blob2 = TextBlob(final_summary) summary_reading_time = readingTime(final_summary) end = time.time() final_time = end - start return render_template('index.html', ctext=rawtext, final_summary=final_summary, final_time=final_time, final_reading_time=final_reading_time, blob1=blob1.sentiment, summary_reading_time=summary_reading_time, blob2=blob2.sentiment)
def analyze(): start = time.time() if request.method == 'POST': rawtext = request.form['rawtext'] final_summary = text_summarizer(rawtext) final_summary_gensim = summarize(rawtext) # NLTK final_summary_nltk = nltk_summarizer(rawtext) # Sumy final_summary_sumy = sumy_summary(rawtext) end = time.time() final_time = end - start return render_template('index.html', ctext=rawtext, final_summary=final_summary, final_summary_spacy=final_summary, final_summary_gensim=final_summary_gensim, final_summary_nltk=final_summary_nltk, final_summary_sumy=final_summary_sumy)
def comparer(): start = time.time() if request.method == 'POST': rawtext = request.form['rawtext'] blob_original = TextBlob(rawtext) final_reading_time = readingTime(rawtext) final_summary_spacy = text_summarizer(rawtext) blobspacy = TextBlob(final_summary_spacy) summary_reading_time = readingTime(final_summary_spacy) # Gensim Summarizer final_summary_gensim = summarize(rawtext) blobgensim = TextBlob(final_summary_gensim) summary_reading_time_gensim = readingTime(final_summary_gensim) # NLTK final_summary_nltk = nltk_summarizer(rawtext) blobnltk = TextBlob(final_summary_nltk) summary_reading_time_nltk = readingTime(final_summary_nltk) # Sumy final_summary_sumy = sumy_summary(rawtext) blobsumy = TextBlob(final_summary_sumy) summary_reading_time_sumy = readingTime(final_summary_sumy) end = time.time() final_time = end - start return render_template( 'compare_summary.html', ctext=rawtext, final_summary_spacy=final_summary_spacy, final_summary_gensim=final_summary_gensim, final_summary_nltk=final_summary_nltk, final_time=final_time, final_reading_time=final_reading_time, summary_reading_time=summary_reading_time, summary_reading_time_gensim=summary_reading_time_gensim, final_summary_sumy=final_summary_sumy, summary_reading_time_sumy=summary_reading_time_sumy, summary_reading_time_nltk=summary_reading_time_nltk, blobsumy=blobsumy.sentiment, blobnltk=blobnltk.sentiment, blobgensim=blobgensim.sentiment, blobspacy=blobspacy.sentiment, blob_original=blob_original.sentiment)
def analyze(): start = time.time() if request.method == 'POST': rawtext = request.form['rawtext'] final_reading_time = readingTime(rawtext) final_summary = text_summarizer(rawtext) summary_reading_time = readingTime(final_summary) end = time.time() final_time = end - start time_saved = final_reading_time - summary_reading_time user = helpers.get_user() user.active = True user.key = stripe_keys['publishable_key'] return render_template('home.html', ctext=rawtext, final_summary=final_summary, final_reading_time=final_reading_time, summary_reading_time=summary_reading_time, time_saved=time_saved, user=user)
def analyze(): start = time.time() if request.method == 'POST': rawtext = request.form['rawtext'] final_reading_time = readingTime(rawtext) final_summary = text_summarizer(rawtext) summary_reading_time = readingTime(final_summary) end = time.time() final_time = end - start flagged = flagger(4) topic = text_modeler(4) session['topic'] = topic session['flagged'] = flagged return render_template('index.html', ctext=rawtext, topic=topic, flagged=flagged, final_summary=final_summary, final_time=final_time, final_reading_time=final_reading_time, summary_reading_time=summary_reading_time)