Correted indenting

app.py

@@ -58,27 +58,26 @@ def run_prediction():
     typred = model.predict(xactual)
 
     # --- Build DataFrame --- #
-pred_df = pd.DataFrame({
-    "Date": dates,
-    "Actual Close": ytrue.squeeze().values,
-    "Predicted Close": typred.flatten()
-})
-
-# --- Calculate Metrics --- #
-pred_df["% Error"] = ((pred_df["Predicted Close"] - pred_df["Actual Close"]) / pred_df["Actual Close"]) * 100
-
-# Round numeric columns to 2 decimal places
-pred_df["Actual Close"] = pred_df["Actual Close"].round(2)
-pred_df["Predicted Close"] = pred_df["Predicted Close"].round(2)
-
-# Format % Error as "$ ±xx.xx"
-pred_df["% Error"] = pred_df["% Error"].apply(lambda x: f"$ {x:+.2f}")
-
-# Add MAPE Range per row to table
-pred_df["±MAPE Range"] = pred_df["Predicted Close"].apply(
-    lambda x: f"${x * (1 - mape/100):.2f} to ${x * (1 + mape/100):.2f}"
-)
-
+    pred_df = pd.DataFrame({
+        "Date": dates,
+        "Actual Close": ytrue.squeeze().values,
+        "Predicted Close": typred.flatten()
+    })
+
+    # --- Calculate Metrics --- #
+    pred_df["% Error"] = ((pred_df["Predicted Close"] - pred_df["Actual Close"]) / pred_df["Actual Close"]) * 100
+
+    # Round numeric columns to 2 decimal places
+    pred_df["Actual Close"] = pred_df["Actual Close"].round(2)
+    pred_df["Predicted Close"] = pred_df["Predicted Close"].round(2)
+
+    # Format % Error as "$ ±xx.xx"
+    pred_df["% Error"] = pred_df["% Error"].apply(lambda x: f"$ {x:+.2f}")
+
+    # Add MAPE Range per row to table
+    pred_df["±MAPE Range"] = pred_df["Predicted Close"].apply(
+        lambda x: f"${x * (1 - mape/100):.2f} to ${x * (1 + mape/100):.2f}"
+    )
 
     # --- Next Day Prediction --- #
     latest_close = float(data["Close"].iloc[-1])