def predict():
dt = request.get_json(force=True)
print('OUTPUT:')
input = dt['exp']
input = [input]
l = Translator().detect(input[0]).lang
input[0] = Translator().translate(input[0]).text
input_count = count_vectorizer.transform(input)
input_tfidf = tfidf_transformer.transform(input_count)
prediction = model.predict(input_tfidf)
output = prediction[0]
test = []
for j in data['Crop']:
test.append(str(j))
entity = ""
for w in input[0].split():
for c in test:
if re.match(w.tolower(), c.tolower()):
entity = c
for i in range(len(data)):
crp = data.loc[i, 'Crop']
ent = data.loc[i, 'QueryType']
if crp == entity and ent == output:
r = data.loc[i, 'KccAns']
resp = Translator().translate(r, dest=l).text
print('Query: ', input)
print('Answer: ', resp.encode())
return resp.encode()
def listening():
while True:
with sr.Microphone() as source:
print("-------")
audio = r.listen(source)
try:
print(method(audio))
with open(log_file, "a+") as speechfile:
speechfile.write('\n' + method(audio))
translatedtext = Translator().translate(
method(audio), dest=target_language).text
print(translatedtext)
pyperclip.copy(translatedtext)
speechfile.write(" ---> " + translatedtext.encode('utf-8'))
if beep_sound: beep()
except sr.UnknownValueError:
print("Google Speech Recognition could not understand audio")
except sr.RequestError as e:
print(
"Could not request results from Google Speech Recognition service; {0}"
.format(e))
#!/usr/bin/python
# -*- coding: utf-8 -*-
# python version 2.7.*
from googletrans import Translator
content = Translator().translate('Hello World', dest="zh-CN").text
if isinstance(content, unicode):
content = content.encode("utf-8")
print content
