def fishImage(query, API_KEY, PROJECT_KEY):
#QUERY SEARCH
gis = GoogleImagesSearch(API_KEY, PROJECT_KEY)
query = query + " peixe"
_search_params = {
'q':
query,
'num':
1,
'searchType':
'image',
'safe':
'off',
'imgType':
'photo',
'fileType':
'jpg',
'orTerms':
'peixe|fish|pesca|pescaria|rio|isca|nadando|nadar|água|mar|anzol'
}
#limit google API request in 5
i = 0
images = []
gis.search(search_params=_search_params, path_to_dir=path)
while gis.results() == [] and i < 5:
try:
gis.next_page()
except:
print('page ' + i + ' nothing found')
i = i + 1
if os.path.exists(path):
filename = os.listdir(path)
os.rename(path + filename[0], path + 'post.jpg')
if os.path.exists(path + 'post.jpg'):
images.append(path + 'post.jpg')
return images
# Try to correct spelling mistakes from imperfect text
# detection
for i, token in enumerate(tokens):
tokens[i] = spell.correction(token)
# Remove too short sentences
if (len(tokens) > 2):
sentences.append(tokens)
# Append to csv file
with open('../../data/sentences.csv', 'a') as csvfile:
writer = csv.writer(csvfile, delimiter=',')
for sentence in sentences:
writer.writerow(sentence)
# Ignore errors, go to next image
except Exception:
pass
# At each loop iteration, go to next page of results
# Protect against errors as before
next_failed = True
next_fail_count = 0
while next_failed:
try:
gis.next_page()
next_failed = False
except Exception as e:
next_failed = True
next_fail_count += 1
if next_fail_count > 10:
raise RuntimeError(e)