Update filesystem shell commands

app.py

@@ -39,6 +39,7 @@ from IPython.display import Markdown
 from huggingface_hub import hf_hub_download
 
 #@title Concept Pipe Function
+import subprocess
 
 def create_concept_pipe(model_name):
   # 1. Load Concept
@@ -53,12 +54,24 @@ def create_concept_pipe(model_name):
   if(not embeds_url):
     embeds_path = hf_hub_download(repo_id=repo_id_embeds, filename="learned_embeds.bin")
     token_path = hf_hub_download(repo_id=repo_id_embeds, filename="token_identifier.txt")
-    !cp $embeds_path $downloaded_embedding_folder
-    !cp $token_path $downloaded_embedding_folder
+    # FOR DEPLOYMENT: address file system use
+    #!cp downloaded_embedding_folder
+    #!cp downloaded_embedding_folder
+
+    # UNDER CONSTRUCTION ---{{{
+    subprocess.call([f"cp {embeds_path} {downloaded_embedding_folder}"])
+    subprocess.call([f"cp {token_path} {downloaded_embedding_folder}"])
+    # }}}---
+
     with open(f'{downloaded_embedding_folder}/token_identifier.txt', 'r') as file:
       placeholder_token_string = file.read()
   else:
-    !wget -q -O $downloaded_embedding_folder/learned_embeds.bin $embeds_url
+    # FOR DEPLOYMENT: address file system use
+    #!wget -q -O $downloaded_embedding_folder/learned_embeds.bin $embeds_url
+
+    # UNDER CONSTRUCTION ---{{{
+    subprocess.call([f"wget -q -O {downloaded_embedding_folder}/learned_embeds.bin {embeds_url}"])
+    # }}}---
 
   learned_embeds_path = f"{downloaded_embedding_folder}/learned_embeds.bin"
 
@@ -268,4 +281,4 @@ with gr.Blocks(css=".gradio-container {max-width: 650px}") as demo:
 #@title Create Gradio Tab Interface
 
 tabbed_interface = gr.TabbedInterface([demo], ["Concept Loader"])
-tabbed_interface.launch(share=True)
+tabbed_interface.launch()