def translate():
try:
data = request.get_json()['possible_words_with_meaning']
src_lan = request.get_json()['src_lan']
dest_lan = request.get_json()['dest_lan']
translator = Translator()
output = {}
for key, value in data.items():
temp = []
for word in value:
translate = translator.translate(word,
src=src_lan,
dest=dest_lan)
temp.append(translate.text)
output[key] = temp
result = {}
result['possible_words_with_meaning'] = output
result['src_lan'] = dest_lan
response = make_response(result, False, 200)
return Response(response=response,
status=200,
mimetype='application/json')
except Exception as e:
# print(e)
response = make_response('Something went wrong', False, 404)
return Response(response=response,
status=404,
mimetype='application/json')
def validatePlate():
try:
data = request.get_json()['image']
with open("input_data/plate.png", "wb") as fh:
fh.write(base64.b64decode(data))
# get prediction from validation model
flag = validator.validateImage()
if (flag == True):
os.remove("input_data/plate.png")
response = make_response('True', False, 200)
return Response(response=response,
status=200,
mimetype='application/json')
else:
os.remove("input_data/plate.png")
response = make_response('False', False, 403)
return Response(response=response,
status=403,
mimetype='application/json')
except:
response = make_response('Something went wrong', False, 404)
return Response(response=response,
status=404,
mimetype='application/json')
def translateLetters():
try:
data = request.get_json()['image']
with open("input_data/plate.png", "wb") as fh:
fh.write(base64.b64decode(data))
flag = image_segmentation()
# true if given image segmented correctly
if (flag == True):
result = {}
classify_letters = brahmi_classifier.classify_letters()
result['letter'] = classify_letters
test_path = os.path.join(segmented_letters)
segmented_images = []
for img in tqdm(os.listdir(test_path)):
if filetype.is_image(os.path.join(test_path, img)):
image_path = os.path.join(test_path, img)
pil_img = Image.open(image_path, mode='r')
byte_arr = io.BytesIO()
pil_img.save(byte_arr, format='PNG')
encoded_img = encodebytes(
byte_arr.getvalue()).decode('ascii')
segmented_images.append(encoded_img)
os.remove(os.path.join(test_path, img))
result['images'] = segmented_images
response = make_response(result, True, 200)
os.remove("input_data/plate.png")
return Response(response=response,
status=200,
mimetype='application/json')
else:
test_path = os.path.join(segmented_letters)
for img in tqdm(os.listdir(test_path)):
if filetype.is_image(os.path.join(test_path, img)):
os.remove(os.path.join(test_path, img))
os.remove("input_data/plate.png")
response = make_response("Too much noise in image", True, 200)
return Response(response=response,
status=200,
mimetype='application/json')
except Exception as e:
# print(e)
response = make_response('Something went wrong', False, 404)
return Response(response=response,
status=404,
mimetype='application/json')
def getPossibleWords():
try:
data = request.get_json()['letters']
# url to mongoDB
myclient = pymongo.MongoClient(
"mongodb+srv://brahmilator_db:[email protected]/brahmilator_db?retryWrites=true&w=majority"
)
mydb = myclient["brahmilator_database"]
column = mydb["words"]
words = searchForWords(column, data)
# true if possible word or words are found
if len(words) > 0:
possible_words = []
for key, value in words.items():
possible_words.append(key)
result = {}
result["possible_words"] = possible_words
result["possible_words_with_meaning"] = words
response = make_response(result, True, 200)
return Response(response=response,
status=200,
mimetype='application/json')
else:
response = make_response("Possible match not found", True, 404)
return Response(response=response,
status=200,
mimetype='application/json')
except Exception as e:
# print(e)
response = make_response('Something went wrong', False, 404)
return Response(response=response,
status=404,
mimetype='application/json')
def get(self, user):
limit = request.args.get("limit", 30)
client = ScreenUserClient(app.logger)
response = client.get(user, limit)
return util.make_response(request.headers, response)
def get(self, tag):
limit = request.args.get("limit", 30)
client = HashtagClient(app.logger)
response = client.get(tag, limit)
return util.make_response(request.headers, response)