Update app.py

app.py

@@ -151,23 +151,23 @@ def process_and_alert(file):
 
 # Load comparison tables
 def load_metrics():
-    return pd.read_csv("/content/drive/MyDrive/Analaysis for Time Fauiler/Models_Metrices.csv")
+    return pd.read_csv("Data/Models_Metrices.csv")
 
 def load_comparison():
-    return pd.read_csv("/content/drive/MyDrive/Analaysis for Time Fauiler/model_comparison_20250419_0955.csv")
+    return pd.read_csv("Data/model_comparison_20250419_0955.csv")
 
 # Gradio UI
 with gr.Blocks(title="📊 Model Comparison Dashboard") as interface:
     with gr.Tab("📈 Model Comparison"):
         gr.Markdown("## 🔍 Actual vs Predicted")
         with gr.Row():
-            gr.Image(value="/content/drive/MyDrive/Analaysis for Time Fauiler/Images/Liner_Regresion.png", label="Linear Regression")
-            gr.Image(value="/content/drive/MyDrive/Analaysis for Time Fauiler/Images/DT.png", label="Decision Tree")
+            gr.Image(value="Images/Liner_Regresion.png", label="Linear Regression")
+            gr.Image(value="Images/DT.png", label="Decision Tree")
         with gr.Row():
-            gr.Image(value="/content/drive/MyDrive/Analaysis for Time Fauiler/Images/Random_Forest.png", label="Random Forest")
-            gr.Image(value="/content/drive/MyDrive/Analaysis for Time Fauiler/Images/LSTM.png", label="LSTM")
+            gr.Image(value="Images/Random_Forest.png", label="Random Forest")
+            gr.Image(value="Images/LSTM.png", label="LSTM")
         gr.Markdown("### 🧮 Data Distribution")
-        gr.Image(value="/content/drive/MyDrive/Analaysis for Time Fauiler/Images/Data_Dis.png", label="Data Distribution")
+        gr.Image(value="Images/Data_Dis.png", label="Data Distribution")
         gr.Markdown("### 📋 Model Metrics Table")
         gr.Dataframe(load_metrics, interactive=False)
         gr.Markdown("### 🆕 Best and Worst Models Table")