Delete rl.py

rl.py

@@ -1,62 +0,0 @@
-#!/usr/bin/env python3
-import os
-from huggingface_hub import HfApi, create_repo, login
-
-def push_model_to_hub():
-    # Set your Hugging Face credentials
-    # You can get your token from https://huggingface.co/settings/tokens
-    HF_TOKEN = input("Enter your Hugging Face token: ")
-    
-    # Repository details
-    REPO_ID = "eyad-silx/Quasar-Deepseek-r1-dsttil-14B-TTM"
-    LOCAL_DIR = "."  # Current directory
-    
-    # Login to Hugging Face
-    login(token=HF_TOKEN)
-    
-    print(f"Creating private repository {REPO_ID}...")
-    
-    # Create a new private repository
-    create_repo(
-        repo_id=REPO_ID,
-        private=True,  # Set to True for private repository
-        exist_ok=True,  # Won't fail if repo already exists
-        repo_type="model"
-    )
-    
-    # Initialize the Hugging Face API
-    api = HfApi()
-    
-    # Get all files in the current directory without filtering
-    files_to_upload = []
-    for file in os.listdir(LOCAL_DIR):
-        # Skip hidden files and directories
-        if not file.startswith('.') and not os.path.isdir(os.path.join(LOCAL_DIR, file)):
-            files_to_upload.append(os.path.join(LOCAL_DIR, file))
-    
-    print(f"Found {len(files_to_upload)} files to upload.")
-    
-    # Upload all files to the repository
-    for i, file_path in enumerate(files_to_upload, 1):
-        file_name = os.path.basename(file_path)
-        print(f"[{i}/{len(files_to_upload)}] Uploading {file_name}...")
-        
-        api.upload_file(
-            path_or_fileobj=file_path,
-            path_in_repo=file_name,
-            repo_id=REPO_ID,
-            token=HF_TOKEN,
-        )
-    
-    print(f"\nSuccess! Model uploaded to https://huggingface.co/{REPO_ID}")
-    print("Note: Since it's a private repository, only you and collaborators can access it.")
-
-if __name__ == "__main__":
-    # Check if huggingface_hub is installed
-    try:
-        import huggingface_hub
-    except ImportError:
-        print("Installing required package: huggingface_hub")
-        os.system("pip install huggingface_hub")
-    
-    push_model_to_hub()