Delete upload.py with huggingface_hub

upload.py

@@ -1,112 +0,0 @@
-#!/usr/bin/env python3
-"""
-Script to upload VidChain project to Hugging Face Hub
-"""
-
-import os
-from huggingface_hub import login, create_repo, HfApi
-from pathlib import Path
-
-def upload_to_huggingface():
-    # Step 1: Login to Hugging Face
-    print("🔐 Logging in to Hugging Face Hub...")
-    login()  # This will prompt for your token if not already logged in
-    
-    # Step 2: Configuration
-    repo_id = "simplecloud/VidChain-exercise"  # Change this to your desired repo name
-    repo_type = "dataset"  # Can be "space", "dataset", or "model"
-    
-    # Step 3: Create repository if it doesn't exist
-    print(f"📦 Creating repository: {repo_id}")
-    try:
-        create_repo(
-            repo_id=repo_id,
-            repo_type=repo_type,
-            exist_ok=True,
-            private=False  # Set to True if you want a private repo
-        )
-        print(f"✅ Repository created/verified: {repo_id}")
-    except Exception as e:
-        print(f"⚠️ Repository creation issue: {e}")
-    
-    # Step 4: Initialize HfApi
-    api = HfApi()
-    
-    # Step 5: Upload the entire project folder
-    print("📤 Uploading project files...")
-    current_dir = Path(".")
-    
-    # Define files/folders to upload
-    files_to_upload = [
-        "upload.py",
-        ".gitignore",
-        "asset/",
-        "VTimeLLM/"
-    ]
-    
-    # Upload each file/folder
-    for item in files_to_upload:
-        item_path = current_dir / item
-        if item_path.exists():
-            if item_path.is_file():
-                print(f"📄 Uploading file: {item}")
-                try:
-                    api.upload_file(
-                        path_or_fileobj=str(item_path),
-                        path_in_repo=item,
-                        repo_id=repo_id,
-                        repo_type=repo_type
-                    )
-                    print(f"✅ Successfully uploaded: {item}")
-                except Exception as e:
-                    print(f"❌ Failed to upload {item}: {e}")
-            else:
-                print(f"📁 Uploading folder: {item}")
-                try:
-                    api.upload_folder(
-                        folder_path=str(item_path),
-                        path_in_repo=item,
-                        repo_id=repo_id,
-                        repo_type=repo_type,
-                        ignore_patterns=["__pycache__", "*.pyc", ".DS_Store", ".git", ".ipynb"]
-                    )
-                    print(f"✅ Successfully uploaded: {item}")
-                except Exception as e:
-                    print(f"❌ Failed to upload {item}: {e}")
-        else:
-            print(f"⚠️ Skipping {item} - not found")
-    
-    # Step 6: Upload README.md separately (if it exists)
-    readme_path = current_dir / "README.md"
-    if readme_path.exists():
-        print("📄 Uploading README.md...")
-        try:
-            api.upload_file(
-                path_or_fileobj=str(readme_path),
-                path_in_repo="README.md",
-                repo_id=repo_id,
-                repo_type=repo_type
-            )
-            print("✅ Successfully uploaded: README.md")
-        except Exception as e:
-            print(f"❌ Failed to upload README.md: {e}")
-    
-    # Step 7: Upload requirements.txt if it exists
-    req_path = current_dir / "requirements.txt"
-    if req_path.exists():
-        print("📄 Uploading requirements.txt...")
-        try:
-            api.upload_file(
-                path_or_fileobj=str(req_path),
-                path_in_repo="requirements.txt",
-                repo_id=repo_id,
-                repo_type=repo_type
-            )
-            print("✅ Successfully uploaded: requirements.txt")
-        except Exception as e:
-            print(f"❌ Failed to upload requirements.txt: {e}")
-    
-    print(f"🎉 Upload completed! Your project is available at: https://huggingface.co/{repo_id}")
-
-if __name__ == "__main__":
-    upload_to_huggingface()