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import os
import numpy as np
import json
import shutil
import requests
import re as r
from urllib.request import urlopen
from datetime import datetime
from datasets import Image
from PIL import Image
from huggingface_hub import Repository, upload_file
HF_TOKEN = os.environ.get("HF_TOKEN")
DATASET_NAME = "OCR-img-to-text"
DATASET_REPO_URL = "https://huggingface.co/datasets/pragnakalp/OCR-img-to-text"
DATA_FILENAME = "ocr_data.csv"
DATA_FILE = os.path.join("ocr_data", DATA_FILENAME)
DATASET_REPO_ID = "pragnakalp/OCR-img-to-text"
print("is none?", HF_TOKEN is None)
REPOSITORY_DIR = "data"
LOCAL_DIR = 'data_local'
os.makedirs(LOCAL_DIR,exist_ok=True)
try:
hf_hub_download(
repo_id=DATASET_REPO_ID,
filename=DATA_FILENAME,
cache_dir=DATA_DIRNAME,
force_filename=DATA_FILENAME
)
except:
print("file not found")
repo = Repository(
local_dir="ocr_data", clone_from=DATASET_REPO_URL, use_auth_token=HF_TOKEN
)
repo.git_pull()
def getIP():
ip_address = ''
try:
d = str(urlopen('http://checkip.dyndns.com/')
.read())
return r.compile(r'Address: (\d+\.\d+\.\d+\.\d+)').search(d).group(1)
except Exception as e:
print("Error while getting IP address -->",e)
return ip_address
def get_location(ip_addr):
location = {}
try:
ip=ip_addr
req_data={
"ip":ip,
"token":"pkml123"
}
url = "https://demos.pragnakalp.com/get-ip-location"
# req_data=json.dumps(req_data)
# print("req_data",req_data)
headers = {'Content-Type': 'application/json'}
response = requests.request("POST", url, headers=headers, data=json.dumps(req_data))
response = response.json()
print("response======>>",response)
return response
except Exception as e:
print("Error while getting location -->",e)
return location
"""
Save generated details
"""
def dump_json(thing,file):
with open(file,'w+',encoding="utf8") as f:
json.dump(thing,f)
def flag(Method,text_output,input_image):
print("saving data------------------------")
# try:
adversarial_number = 0
adversarial_number = 0 if None else adversarial_number
ip_address= getIP()
print("ip_address :",ip_address)
location = get_location(ip_address)
print("location :",location)
metadata_name = datetime.now().strftime('%Y-%m-%d %H-%M-%S')
SAVE_FILE_DIR = os.path.join(LOCAL_DIR,metadata_name)
os.makedirs(SAVE_FILE_DIR,exist_ok=True)
image_output_filename = os.path.join(SAVE_FILE_DIR,'image.png')
print("image_output_filename :",image_output_filename)
print(input_image)
try:
Image.fromarray(input_image).save(image_output_filename)
# input_image.save(image_output_filename)
except Exception:
raise Exception(f"Had issues saving np array image to file")
# Write metadata.json to file
json_file_path = os.path.join(SAVE_FILE_DIR,'metadata.jsonl')
metadata= {'id':metadata_name,'method':Method,'file_name':'image.png',
'generated_text':text_output,'ip':ip_address, 'location':location
}
dump_json(metadata,json_file_path)
# Simply upload the image file and metadata using the hub's upload_file
# Upload the image
repo_image_path = os.path.join(REPOSITORY_DIR,os.path.join(metadata_name,'image.png'))
_ = upload_file(path_or_fileobj = image_output_filename,
path_in_repo =repo_image_path,
repo_id=DATASET_REPO_ID,
repo_type='dataset',
token=HF_TOKEN
)
# Upload the metadata
repo_json_path = os.path.join(REPOSITORY_DIR,os.path.join(metadata_name,'metadata.jsonl'))
_ = upload_file(path_or_fileobj = json_file_path,
path_in_repo =repo_json_path,
repo_id= DATASET_REPO_ID,
repo_type='dataset',
token=HF_TOKEN
)
adversarial_number+=1
repo.git_pull()
url = 'http://pragnakalpdev35.pythonanywhere.com/HF_space_image_to_text'
myobj = {'Method': Method,'text_output':text_output,'img':input_image.tolist(),'ip_address':ip_address, 'loc':location}
x = requests.post(url, json = myobj)
print("mail status code",x.status_code)
return "*****Logs save successfully!!!!" |