def apiprocess():
app.logger.info('REST API for process has been invoked')
targetlang = 'en'
classification = {"className":"unknown"}
results = {}
theData = {"error":"If you see this message then something has gone badly wrong"}
app.logger.info(request.form['txtdata'])
if not 'txtdata' in request.form:
theData = {"error":"Text to be processed must not be blank"}
else:
del theData["error"]
try:
data = request.form['txtdata']
ltu = LanguageTranslationUtils(app)
nlcu = NaturalLanguageClassifierUtils(app)
primarylang = theData['language'] = ltu.identifyLanguage(data)["language"]
if targetlang != primarylang:
supportedModels = ltu.checkForTranslation(primarylang, targetlang)
if supportedModels:
englishTxt = ltu.performTranslation(data, primarylang, targetlang)
classification = nlcu.classifyTheText(englishTxt)
else:
classification = nlcu.classifyTheText(data)
theData['classification'] = classification['className']
except WatsonException as err:
theData['error'] = err;
results["results"] = theData
return jsonify(results), 201
def wlhome():
app.logger.info('wlhome page requested')
allinfo = {}
outputTxt = "TBD"
targetlang = 'en'
lang = "TBD"
txt = None
form = LangForm()
if form.validate_on_submit():
lang = "TBC"
txt = form.txtdata.data
form.txtdata.data = ''
try:
ltu = LanguageTranslationUtils(app)
nlcu = NaturalLanguageClassifierUtils(app)
lang = ltu.identifyLanguage(txt)
primarylang = lang["language"]
confidence = lang["confidence"]
outputTxt = "I am {} confident that the language is {}"
outputTxt = outputTxt.format(confidence, primarylang)
if targetlang != primarylang:
supportedModels = ltu.checkForTranslation(
primarylang, targetlang)
if supportedModels:
englishTxt = ltu.performTranslation(
txt, primarylang, targetlang)
outputTxt += ", which in english is %s" % englishTxt
classification = nlcu.classifyTheText(englishTxt)
else:
outputTxt += \
", which unfortunately we can't translate into English"
else:
classification = nlcu.classifyTheText(txt)
if classification:
message = "(and {} confident that it is {} classification)"
message = message.format(classification['confidence'],
classification['className'])
outputTxt += message
session['langtext'] = outputTxt
allinfo['lang'] = lang
allinfo['form'] = form
return redirect(url_for('wlhome'))
except WatsonException as err:
allinfo['error'] = err
allinfo['lang'] = session.get('langtext')
allinfo['form'] = form
return render_template('watson/wlindex.html', info=allinfo)
def wlhome():
app.logger.info('wlhome page requested')
allinfo = {}
outputTxt = "TBD"
targetlang = 'en'
lang = "TBD"
txt = None
form = LangForm()
if form.validate_on_submit():
lang = "TBC"
txt = form.txtdata.data
form.txtdata.data = ''
try:
ltu = LanguageTranslationUtils(app)
nlcu = NaturalLanguageClassifierUtils(app)
lang = ltu.identifyLanguage(txt)
primarylang = lang["language"]
confidence = lang["confidence"]
outputTxt = "I am %s confident that the language is %s" % (confidence, primarylang)
if targetlang != primarylang:
supportedModels = ltu.checkForTranslation(primarylang, targetlang)
if supportedModels:
englishTxt = ltu.performTranslation(txt, primarylang, targetlang)
outputTxt += ", which in english is %s" % englishTxt
classification = nlcu.classifyTheText(englishTxt)
else:
outputTxt += ", which unfortunately we can't translate into English"
else:
classification = nlcu.classifyTheText(txt)
if classification:
outputTxt += "(and %s confident that it is %s classification)" \
% (classification['confidence'],
classification['className'])
session['langtext'] = outputTxt
allinfo['lang'] = lang
allinfo['form'] = form
return redirect(url_for('wlhome'))
except WatsonException as err:
allinfo['error'] = err
allinfo['lang'] = session.get('langtext')
allinfo['form'] = form
return render_template('watson/wlindex.html', info=allinfo)