updates with biobert

app.py

@@ -1,6 +1,10 @@
+import warnings
 import gradio as gr
 from transformers import pipeline
 
+# Suppress known warnings
+warnings.filterwarnings("ignore", category=FutureWarning, module="torch.distributed")
+
 
 # Load BioBERT-based model for NER/PHI detection
 # Using a model fine-tuned for medical NER or a general NER model
@@ -130,4 +134,9 @@ demo = gr.Interface(
 )
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch(
+        server_name="0.0.0.0",
+        server_port=7860,
+        share=False,  # Set to True if you want a public link
+        show_error=True,
+    )