fix: resolve model detection and evaluation dropdown issues in app

app.py

@@ -36,11 +36,10 @@ with gr.Blocks() as demo:
             outputs=[enriched_output, label_output]
         )
 
-
     with gr.Tab("📊 View Evaluation Reports"):
         def list_eval_files():
             folder = "/home/user/app/results_eval"
-            return sorted(os.listdir(folder), reverse=True)
+            return sorted(os.listdir(folder), reverse=True) if os.path.exists(folder) else []
 
         def load_eval_file(filename):
             path = f"/home/user/app/results_eval/{filename}"
@@ -50,15 +49,18 @@ with gr.Blocks() as demo:
                 return f.read()
 
         file_dropdown = gr.Dropdown(
-            choices=list_eval_files(),
+            choices=[],
             label="📁 Select an evaluation file",
             interactive=True
         )
+        refresh_btn = gr.Button("🔄 Refresh File List")
         report_output = gr.Textbox(label="📄 Evaluation Report", lines=20)
 
+        refresh_btn.click(fn=lambda: gr.Dropdown.update(choices=list_eval_files()), outputs=file_dropdown)
         file_dropdown.change(fn=load_eval_file, inputs=file_dropdown, outputs=report_output)
 
 
 
+
 if __name__ == "__main__":
     demo.launch()

train_abuse_model.py

@@ -300,9 +300,6 @@ def run_training(progress=gr.Progress(track_tqdm=True)):
         progress(1.0)
         yield "✅ Progress: 100%\n"
 
-        PERSIST_DIR = Path("/home/user/app")
-        MODEL_DIR = PERSIST_DIR / "saved_model"
-
         # Save the model and tokenizer
         MODEL_DIR.mkdir(parents=True, exist_ok=True)
         model.save_pretrained(MODEL_DIR)