Upload upload.py with huggingface_hub

upload.py

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+#!/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()