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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
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+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
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+*.pickle filter=lfs diff=lfs merge=lfs -text
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+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
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save_data.py

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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!!!!"