Cleanup

app.py

@@ -1,21 +1,17 @@
 import os
-import shutil
 import tempfile
 
 os.environ["HF_HUB_CACHE"] = "cache"
 os.environ["GRADIO_ANALYTICS_ENABLED"] = "False"
 import gradio as gr
 
-from huggingface_hub import create_repo, HfApi
-from huggingface_hub import snapshot_download
+from huggingface_hub import HfApi
 from huggingface_hub import whoami
 from huggingface_hub import ModelCard
-from huggingface_hub import login
 from huggingface_hub import scan_cache_dir
 from huggingface_hub import logging
 
 from gradio_huggingfacehub_search import HuggingfaceHubSearch
-
 from apscheduler.schedulers.background import BackgroundScheduler
 
 from textwrap import dedent
@@ -23,8 +19,6 @@ from textwrap import dedent
 import mlx_lm
 from mlx_lm import convert
 
-from typing import Any, Callable, Dict, Generator, List, Optional, Tuple, Type, Union
-
 HF_TOKEN = os.environ.get("HF_TOKEN")
 
 def clear_hf_cache_space():
@@ -84,8 +78,7 @@ def upload_to_hub(path, upload_repo, hf_path, token):
     )
     print(f"Upload successful, go to https://huggingface.co/{upload_repo} for details.")    
 
-def process_model(model_id, q_method,oauth_token: gr.OAuthToken | None):
-    
+def process_model(model_id, q_method, oauth_token: gr.OAuthToken | None):
     if oauth_token.token is None:
         raise ValueError("You must be logged in to use MLX-my-repo")
     
@@ -93,8 +86,6 @@ def process_model(model_id, q_method,oauth_token: gr.OAuthToken | None):
     print(model_name)
     username = whoami(oauth_token.token)["name"]
     print(username)
-
-    # login(token=oauth_token.token, add_to_git_credential=True)
     
     try:
         upload_repo = username + "/" + model_name + "-mlx"