Update app.py

app.py

@@ -4,6 +4,7 @@ from sklearn.feature_extraction.text import TfidfVectorizer
 from sklearn.linear_model import LogisticRegression
 from sklearn.model_selection import train_test_split
 from sklearn.metrics import classification_report, accuracy_score, precision_score
+import os
 
 df_train = None
 model = None
@@ -99,7 +100,8 @@ def export_predictions():
     global df_predict_results
     if df_predict_results is None:
         return None
-    export_path = "/mnt/data/predictions_output.xlsx"  # Gradio environment allows writing here
+    # Save file locally - current working directory
+    export_path = "predictions_output.xlsx"
     df_predict_results.to_excel(export_path, index=False)
     return export_path