models dir was not accessible

app.py

@@ -16,12 +16,6 @@ import datetime
 from transformers import AutoTokenizer, T5ForConditionalGeneration
 from spacy import displacy
 
-## Load spaCy models from saved_models directory
-
-# Get absolute path to the current script's directory
-script_dir = os.path.dirname(os.path.abspath(__file__))
-saved_models_dir = os.path.join(script_dir, "saved_models")
-nlp_models = ["en_core_web_sm", "en_core_web_md", "en_core_web_lg"] + [os.path.join(saved_models_dir, str(model_name)) for model_name in os.listdir(saved_models_dir)]
 
 # fuction to load the csv file and extract sentences and tags
 def load_data_from_csv(file):
@@ -36,7 +30,7 @@ def load_data_from_csv(file):
 
 
 # Streamlit UI for Online Inference
-def online_inference():
+def online_inference(nlp_models):
     st.title("Online Inference")
     
     selected_model = st.selectbox("Select base Model for finetunning", nlp_models)
@@ -316,10 +310,15 @@ def ensure_folders_exist(script_dir):
 
 def main():
 
-    script_dir = os.path.dirname(os.path.abspath(__file__))
+    ## Load spaCy models from saved_models directory
 
+    # Get absolute path to the current script's directory
+    script_dir = os.path.dirname(os.path.abspath(__file__))
     # Ensure that required folders exist
     ensure_folders_exist(script_dir)
+    saved_models_dir = os.path.join(script_dir, "saved_models")
+    nlp_models = ["en_core_web_sm", "en_core_web_md", "en_core_web_lg"] + [os.path.join(saved_models_dir, str(model_name)) for model_name in os.listdir(saved_models_dir)]
+
 
     # Streamlit App
     st.set_page_config(page_title="NER Model Experimentation")
@@ -330,7 +329,7 @@ def main():
                                     "GEN AI"])
 
     if page == "Online Inference":
-        online_inference()
+        online_inference(nlp_models)
     elif page == "Model Training":
         model_training()
     elif page == "GEN AI":