def posTagAndLabel(): sentences = request.form['sentences'] print("Sentences", sentences) cleanSentences = html2text.html2text(sentences) result = nlp.posTagAndLabel(cleanSentences) print("Result ", result) return buildResponse.buildJson(result)
def posTagAndLabel(): content = request.get_json(silent=True) sentences = None if content: sentences = content.get("sentences") if not sentences: sentences = request.form['sentences'] cleanSentences = html2text.html2text(sentences) result = nlp.posTagAndLabel(cleanSentences) return buildResponse.buildJson(result)
def posTagAndLabel(): sentences = request.form['sentences'] cleanSentences = html2text.html2text(sentences) result = nlp.posTagAndLabel(cleanSentences) return buildResponse.buildJson(result)
def fileupload(botId): print("Bot Id in file upload", session.__getattribute__('botid')) if request.method == 'POST': # check if the post request has the file part print(request.files) if 'file' not in request.files: print('No file part') return redirect(request.url) file = request.files['file'] print("File Details", file) # if user does not select file, browser also # submit a empty part without filename if file.filename == '': print('No selected file') return redirect(request.url) if file and allowed_file(file.filename): filename = secure_filename(file.filename) print("File Name", filename) file.save(os.path.join(app.config['UPLOAD_FOLDER'], filename)) print("File saved to folder") #return redirect(url_for('stories_blueprint.fileupload', filename=filename)) csvfile = open(UPLOAD_FOLDER + '/' + filename, 'r', encoding='utf-8', errors='ignore') reader = csv.DictReader(csvfile) #print(reader) header = [ "storyName", "intentName", "apiTrigger", "speechResponse", "labeledSentences", "parameters" ] parameter1 = [] ls = LabeledSentences() for each in reader: row = {} labelSent = [] ls = LabeledSentences() for field in header: #print("Field",field) list2 = [] if field == "labeledSentences": #print("Inside labeled send") #print("Row[fiel}",each[field]) cleanSentences = html2text.html2text(each[field]) #print("After clean Sentences") #labelSen.data=posTagAndLabel(cleanSentences) data = nlp.posTagAndLabel(cleanSentences) print("Type of data", type(data)) ls.data = data #print("Result ", labelSent) #print("Type", type(labelSent)) row[field] = each[field] #print("row field",row[field]) list2.append(ls) csvStories = Story(storyName=row['storyName'], intentName=row['intentName'], apiTrigger=False, speechResponse=row['speechResponse'], parameters=parameter1, labeledSentences=list2, botId=botId) csvStories.save() print(row['storyName'], "Story Saved in DB") for story in Story.objects(): try: # print("Object Id",ObjectId(story.id)) sequenceLabeler.train(ObjectId(story.id)) print("Build Successfull") print(ObjectId(story.id)) except: print("In sequence labeller excpetion") IntentClassifier().train() #return redirect(url_for('stories_blueprint.fileupload', filename=filename)) return ''