def main():
translator = GoogleTranslator()
count = 0
with open("input.txt","r", encoding="utf-8") as fo:
lines = fo.readlines()
with open('output.txt', 'w', encoding='utf-8') as df:
for line in lines:
if len(line) > 1:
count += 1
print('\r' + str(count), end = '', flush = True)
df.write(line.strip() + "\n")
result = translator.translate(line)
df.write(result.strip() + "\n\n")
def long_time_task(curPage):
skip = (curPage - 1) * 10000
data = curTableObj.find({
"status": 1,
"ctitle": ""
}).sort('_id', pymongo.ASCENDING).limit(100).skip()
j = 0
g = GoogleTranslator()
for v in data:
v['title'] = v['title'].replace(''', '').replace('&', '')
s = ctitle = g.translate(v['title'])
if s == '':
curTableObj.update({"id": v['id']}, {"$set": {"status": 3}})
else:
curTableObj.update({"id": v['id']}, {"$set": {"ctitle": ctitle}})
if j % 10:
time.sleep(0.5)
j += 1
import os, json
from ImageAnalyzor import ImageAnalyzor
from GoogleTranslator import GoogleTranslator
if __name__ == "__main__":
analyzor = ImageAnalyzor()
url = input("Please input the url of the image: ")
analysis = analyzor.analyzeByUrl(url)
# path=input("Please input the path of the image: ")
# analysis=analyzor.analyzeByLocal(path)
print(json.dumps(analysis))
if "captions" in analysis["description"]:
image_caption = analysis["description"]["captions"][0][
"text"].capitalize()
print(image_caption)
t2 = GoogleTranslator(src='en', dest='zh-CN')
result = t2.translate(image_caption)
print(result)
