Update app.py

app.py

@@ -29,16 +29,15 @@ st.sidebar.header("PHI De-identification with Presidio")
 
 model_help_text = "Select Named Entity Recognition (NER) model for PHI detection."
 model_list = [
-    ("spaCy/en_core_web_lg", "https://huggingface.co/spacy/en_core_web_lg"),
-    ("HuggingFace/obi/deid_roberta_i2b2", "https://huggingface.co/obi/deid_roberta_i2b2"),
     ("flair/ner-english-large", "https://huggingface.co/flair/ner-english-large"),
+    ("HuggingFace/obi/deid_roberta_i2b2", "https://huggingface.co/obi/deid_roberta_i2b2"),
     ("HuggingFace/StanfordAIMI/stanford-deidentifier-base", "https://huggingface.co/StanfordAIMI/stanford-deidentifier-base"),
 ]
 
 st_model = st.sidebar.selectbox(
     "NER model package",
     [model[0] for model in model_list],
-    index=1,
+    index=0,
     help=model_help_text,
 )
 
@@ -48,7 +47,7 @@ st.sidebar.markdown(f"[View model on HuggingFace]({selected_model_url})")
 
 # Extract model package
 st_model_package = st_model.split("/")[0]
-st_model = st_model if st_model_package.lower() not in ("spacy", "huggingface") else "/".join(st_model.split("/")[1:])
+st_model = st_model if st_model_package.lower() not in ("huggingface") else "/".join(st_model.split("/")[1:])
 
 analyzer_params = (st_model_package, st_model)
 st.sidebar.warning("Note: Models might take some time to download on first run.")
@@ -97,7 +96,7 @@ with col1:
                 analyzer = analyzer_engine(*analyzer_params)
             except Exception as e:
                 st.error(f"Failed to load model: {str(e)}")
-                st.info("Ensure models are downloaded (e.g., 'python -m spacy download en_core_web_lg') and check network/permissions.")
+                st.info("Ensure models are downloaded and check network/permissions.")
                 raise
 
             # Analyze