check if config submitted path exist

app_debug.py

@@ -3,7 +3,7 @@ from os.path import isfile, join
 import html
 
 import gradio as gr
-
+import os
 import pipe
 from io_utils import get_logs_file
 
@@ -69,6 +69,8 @@ def get_queue_status():
 
 
 def get_demo():
+    if not os.path.exists(CONFIG_PATH):
+        os.makedirs(CONFIG_PATH)
     with gr.Row():
         gr.HTML(        
             value=get_queue_status,

text_classification.py

@@ -7,9 +7,9 @@ import pandas as pd
 from transformers import pipeline
 import requests
 import os
+from app_env import HF_WRITE_TOKEN
 
 logger = logging.getLogger(__name__)
-HF_WRITE_TOKEN = "HF_WRITE_TOKEN"
 AUTH_CHECK_URL = "https://huggingface.co/api/whoami-v2"
 
 logger = logging.getLogger(__file__)

text_classification_ui_helpers.py

@@ -35,6 +35,7 @@ from wordings import (
     get_dataset_fetch_error_raw,
 )
 import os
+from app_env import HF_WRITE_TOKEN
 
 MAX_LABELS = 40
 MAX_FEATURES = 20
@@ -268,7 +269,7 @@ def align_columns_and_show_prediction(
         gr.Dropdown(visible=False) for _ in range(MAX_LABELS + MAX_FEATURES)
     ]
     
-    hf_token = os.environ.get("HF_WRITE_TOKEN", default="")
+    hf_token = os.environ.get(HF_WRITE_TOKEN, default="")
 
     prediction_input, prediction_response = get_example_prediction(
         model_id, dataset_id, dataset_config, dataset_split, hf_token