Upload create_checksums.py

create_checksums.py

@@ -0,0 +1,53 @@
+import os
+import hashlib
+import glob
+import pathlib
+from tqdm import tqdm
+import subprocess
+
+
+all_files = glob.glob("./*")
+
+folder_path = pathlib.Path("train_valid_data")
+print(folder_path)
+
+all_files = list(folder_path.rglob("*"))
+
+all_files = [i for i in all_files if not os.path.isdir(i)]
+from pprint import pprint
+
+
+
+def get_checksum(file_path):
+
+    output = str(subprocess.Popen(["/usr/bin/sha256sum" , str(file_path)], stdout=subprocess.PIPE).communicate()[0].decode("UTF-8"))
+
+    output = output.replace("  ", ",") 
+    return output
+
+# print(get_checksum(all_files[0]))
+
+# all_files = all_files[:5]
+
+with open("sha256_checksums.csv", "w+") as file:
+    file.write("checksum,file_path\n")
+    for file_path in tqdm(all_files):
+        file.write(get_checksum(file_path))
+
+
+import huggingface as hh
+
+
+from huggingface_hub import HfApi
+
+api = HfApi()
+# upload results to a public dataset 
+# also save as a file
+api.upload_file(
+    path_or_fileobj="sha256_checksums.csv",
+    path_in_repo="sha256_checksums.csv",
+    repo_id="osbm/project-checksums",
+    repo_type="dataset",
+    token="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"
+
+)