def staudio(request):
# This request receives an Audio BLOB file which is passed to the
# Speech to text service. The response is then forwarded to the
# classifier service.
results = {}
theData = {"error": "Error detected in REST API"}
module_dir = os.path.dirname(__file__)
if request.POST and request.FILES:
form = UploadAudioForm(request.POST, request.FILES)
# Don't bother checking the form, as it is always invalid
#if form.is_valid():
# print("Valid Form")
#else:
# print("Invalid Form")
filename = ""
classURL = ""
if "fname" in request.POST:
filename = request.POST["fname"]
if "classifierurl" in request.POST:
classURL = request.POST["classifierurl"]
# Saving the file and reading it again, as this ensures that all the data has
# been received. This gives a better result from the service.
f = request.FILES['data']
if f:
file_path = os.path.join(module_dir, '../static/', filename)
with open(file_path, 'wb+') as destination:
for chunk in f.chunks():
destination.write(chunk)
destination.close()
# Remember to switch
yy_file_path = os.path.join(module_dir, '../static/', filename)
#yy_file_path = os.path.join(module_dir, '../static/', 'yy.wav')
with open(yy_file_path, 'rb') as fj:
audiodata = fj.read()
if audiodata:
wdc = WDCService('ST')
service_creds = wdc.getCreds()
stService = wdc.stService()
if stService is None:
theData = {"error": "No Speech to Text service found"}
else:
theData = stService.processAudio(audiodata)
if "results" in theData:
if list is type(theData["results"]):
res = theData["results"][0]
if "alternatives" in res:
alt = res["alternatives"][0]
if "transcript" in alt:
theData = classifyTranscript(classURL, alt["transcript"])
fj.close()
results["results"] = theData
return HttpResponse(json.dumps(results), content_type="application/json")
def staudio_with_nlc(request):
# This request receives an Audio BLOB file which is passed to the
# Speech to text service. The response is then forwarded to the
# classifier service.
results = {}
tts_input = ''
theData = {"error": "Error detected in REST API"}
module_dir = os.path.dirname(__file__)
if request.POST and request.FILES:
form = UploadAudioForm(request.POST, request.FILES)
# Don't bother checking the form, as it is always invalid
#if form.is_valid():
# print("Valid Form")
#else:
# print("Invalid Form")
filename = ""
classURL = ""
textscript = ""
if "fname" in request.POST:
filename = request.POST["fname"]
if "textscript" in request.POST:
textscript = request.POST["textscript"]
if "classifierurl" in request.POST:
classURL = request.POST["classifierurl"]
# Saving the file and reading it again, as this ensures that all the data has
# been received. This gives a better result from the service.
f = request.FILES['data']
if f:
file_path = os.path.join(module_dir, '../static/', filename)
with open(file_path, 'wb+') as destination:
for chunk in f.chunks():
destination.write(chunk)
destination.close()
# Remember to switch
yy_file_path = os.path.join(module_dir, '../static/', filename)
#yy_file_path = os.path.join(module_dir, '../static/', 'yy.wav')
with open(yy_file_path, 'rb') as fj:
audiodata = fj.read()
if audiodata:
wdc = WDCService('ST')
service_creds = wdc.getCreds()
stService = wdc.stService()
if stService is None:
theData = {"error": "No Speech to Text service found"}
else:
theData = stService.processAudio(audiodata)
if "results" in theData:
if list is type(theData["results"]):
res = theData["results"][0]
if "alternatives" in res:
alt = res["alternatives"][0]
if "transcript" in alt:
question = alt["transcript"]
theData = classifyTranscript(classURL, alt["transcript"])
data = {}
if textscript != "":
data = {"txt": textscript,
"conversation_id":"",
"client_id":""
}
else:
data = {"txt": alt["transcript"],
"conversation_id":"",
"client_id":""
}
if not 'classification' in theData:
raise Exception('Classificatio failed: {}'.format(theData))
category = theData["classification"]["top_class"]
res = sendDialogAPI(category, {'data': json.dumps(data)})
theData = res['results']
theData['category'] = category
theData['question'] = question
tts_input = theData['conversationData']['response']
fj.close()
results["results"] = theData
textToSpeech(tts_input)
return HttpResponse(json.dumps(results), content_type="application/json")
