Delete upload.py

upload.py

@@ -1,45 +0,0 @@
-from huggingface_hub import HfApi
-from pathlib import Path
-
-# Define the parameters for uploading
-repo_id = "DBMe/Midnight-Miqu-103B-v1.0-3.53bpw-h6-exl2"  # Replace with your actual repo ID
-folder_path = "/home/asusws-x570-ace/programs/tabbyAPI/models/Midnight-Miqu-103B-v1.0_exl2_3.53bpw/"  # Replace with your folder path
-repo_type = "model"  # Change to "model" or "space" if applicable
-revision = "main"  # Optional: specify the branch or use "main"
-private = False  # Set to True if the repository should be private
-allow_patterns = None  # Optional: specify patterns of files to include
-ignore_patterns = None  # Optional: specify patterns of files to exclude
-num_workers = 1  # Set based on your system; lower if your internet is unstable
-print_report = True  # Enable progress reporting
-print_report_every = 60  # Report frequency in seconds
-
-# Initialize the Hugging Face API client
-api = HfApi()
-
-# Function to upload the folder in a resumable manner
-def upload_resumable():
-    try:
-        print("Starting upload process...")
-
-        # Perform the upload with the provided parameters
-        api.upload_large_folder(
-            repo_id=repo_id,
-            folder_path=Path(folder_path),
-            repo_type=repo_type,
-            revision=revision,
-            private=private,
-            allow_patterns=allow_patterns,
-            ignore_patterns=ignore_patterns,
-            num_workers=num_workers,
-            print_report=print_report,
-            print_report_every=print_report_every,
-        )
-
-        print("Upload completed successfully!")
-
-    except Exception as e:
-        print(f"Upload interrupted due to error: {e}")
-        print("You can resume the upload by running the script again.")
-
-# Call the function to start the upload
-upload_resumable()