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import os |
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import numpy as np |
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import json |
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import shutil |
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import requests |
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import re as r |
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from urllib.request import urlopen |
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from datetime import datetime |
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from datasets import Image |
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from PIL import Image |
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from huggingface_hub import Repository, upload_file |
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HF_TOKEN = os.environ.get("HF_TOKEN") |
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DATASET_NAME = "OCR-img-to-text" |
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DATASET_REPO_URL = "https://huggingface.co./datasets/pragnakalp/OCR-img-to-text" |
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DATA_FILENAME = "ocr_data.csv" |
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DATA_FILE = os.path.join("ocr_data", DATA_FILENAME) |
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DATASET_REPO_ID = "pragnakalp/OCR-img-to-text" |
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print("is none?", HF_TOKEN is None) |
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REPOSITORY_DIR = "data" |
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LOCAL_DIR = 'data_local' |
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os.makedirs(LOCAL_DIR,exist_ok=True) |
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def getIP(): |
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ip_address = '' |
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try: |
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d = str(urlopen('http://checkip.dyndns.com/') |
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.read()) |
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return r.compile(r'Address: (\d+\.\d+\.\d+\.\d+)').search(d).group(1) |
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except Exception as e: |
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print("Error while getting IP address -->",e) |
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return ip_address |
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def get_location(ip_addr): |
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location = {} |
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try: |
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ip=ip_addr |
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req_data={ |
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"ip":ip, |
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"token":"pkml123" |
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} |
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url = "https://demos.pragnakalp.com/get-ip-location" |
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headers = {'Content-Type': 'application/json'} |
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response = requests.request("POST", url, headers=headers, data=json.dumps(req_data)) |
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response = response.json() |
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print("response======>>",response) |
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return response |
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except Exception as e: |
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print("Error while getting location -->",e) |
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return location |
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""" |
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Save generated details |
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""" |
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def dump_json(thing,file): |
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with open(file,'w+',encoding="utf8") as f: |
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json.dump(thing,f) |
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def flag(Method,text_output,input_image): |
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print("saving data------------------------") |
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adversarial_number = 0 |
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adversarial_number = 0 if None else adversarial_number |
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ip_address= getIP() |
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print("ip_address :",ip_address) |
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location = get_location(ip_address) |
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print("location :",location) |
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metadata_name = datetime.now().strftime('%Y-%m-%d %H-%M-%S') |
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SAVE_FILE_DIR = os.path.join(LOCAL_DIR,metadata_name) |
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os.makedirs(SAVE_FILE_DIR,exist_ok=True) |
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image_output_filename = os.path.join(SAVE_FILE_DIR,'image.png') |
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print("image_output_filename :",image_output_filename) |
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print(input_image) |
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try: |
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Image.fromarray(input_image).save(image_output_filename) |
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except Exception: |
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raise Exception(f"Had issues saving np array image to file") |
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json_file_path = os.path.join(SAVE_FILE_DIR,'metadata.jsonl') |
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metadata= {'id':metadata_name,'method':Method,'file_name':'image.png', |
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'generated_text':text_output,'ip':ip_address, 'location':location |
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} |
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dump_json(metadata,json_file_path) |
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repo_image_path = os.path.join(REPOSITORY_DIR,os.path.join(metadata_name,'image.png')) |
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_ = upload_file(path_or_fileobj = image_output_filename, |
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path_in_repo =repo_image_path, |
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repo_id=DATASET_REPO_ID, |
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repo_type='dataset', |
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token=HF_TOKEN |
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) |
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repo_json_path = os.path.join(REPOSITORY_DIR,os.path.join(metadata_name,'metadata.jsonl')) |
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_ = upload_file(path_or_fileobj = json_file_path, |
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path_in_repo =repo_json_path, |
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repo_id= DATASET_REPO_ID, |
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repo_type='dataset', |
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token=HF_TOKEN |
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) |
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adversarial_number+=1 |
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repo.git_pull() |
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url = 'http://pragnakalpdev35.pythonanywhere.com/HF_space_image_to_text' |
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myobj = {'Method': Method,'text_output':text_output,'img':input_image.tolist(),'ip_address':ip_address, 'loc':location} |
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x = requests.post(url, json = myobj) |
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print("mail status code",x.status_code) |
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return "*****Logs save successfully!!!!" |