Update app.py

app.py

@@ -99,7 +99,7 @@ class TextClassifier:
             num_labels=2
         ).to(self.device)
         
-        model_path = "model_20250209_184929_acc1.0000.pt"
+        model_path = "model.pt"
         if os.path.exists(model_path):
             logger.info(f"Loading custom model from {model_path}")
             checkpoint = torch.load(model_path, map_location=self.device)
@@ -353,18 +353,9 @@ demo = gr.Interface(
         ["This is a sample text written by a human. It contains multiple sentences with different ideas. The analysis will show how each sentence is classified.", "quick"],
         ["This is a sample text written by a human. It contains multiple sentences with different ideas. The analysis will show how each sentence is classified.", "detailed"],
     ],
-    flagging_mode=None
+    allow_flagging="never"
 )
 
-# Launch with minimal configuration
+# Launch the interface
 if __name__ == "__main__":
-    if os.getenv('SPACE_ID'):
-        # Running on Hugging Face Spaces
-        demo.launch()
-    else:
-        # Running locally
-        demo.launch(
-            server_name="0.0.0.0",
-            server_port=7860,
-            share=False
-        )
+    demo.launch(share=True)