Final fix for multiple syntax errors in app.py

app.py

@@ -1,3 +1,4 @@
+'''
 import gradio as gr
 import pandas as pd
 import numpy as np
@@ -92,7 +93,7 @@ def run_dashboard(data_src, ticker, file_upload, timeframe, start_date, end_date
             importance_threshold=feat_threshold
         )
         if isinstance(result, dict) and result.get("error"):
-            logging.error(f"Model training failed: {result['error']}")
+            logging.error(f"Model training failed: {result['error']})")
             return [None] * 12 + [f"Model training failed: {result['error']}", None, None, None, None, f"Model training failed: {result['error']}"]
 
         signals_df, trades_df, equity_df = generate_signals(df, result)
@@ -107,10 +108,10 @@ def run_dashboard(data_src, ticker, file_upload, timeframe, start_date, end_date
 
         future_plot = plot_future_forecast(df, result, indicators)
         future_table = pd.DataFrame({
-            \"Date\": [df.index[-1] + timedelta(days=i+1) for i in range(horizon)],
-            \"Prediction\": result[\"latest_prediction\"]
+            "Date": [df.index[-1] + timedelta(days=i+1) for i in range(horizon)],
+            "Prediction": result["latest_prediction"]
         })
-        signals_table = signals_df.reset_index()[[\"Date\", \"Price\", \"Signal\", \"Position_Size\", \"Stop_Loss\", \"Take_Profit\", \"Equity\"]]
+        signals_table = signals_df.reset_index()[["Date", "Price", "Signal", "Position_Size", "Stop_Loss", "Take_Profit", "Equity"]]
         r2_plot = plot_metrics_r2(result)
         error_plot = plot_metrics_errors(result)
         precision_recall_plot = plot_metrics_precision_recall(result)
@@ -125,13 +126,13 @@ def run_dashboard(data_src, ticker, file_upload, timeframe, start_date, end_date
 
         predictions_csv = f"predictions_{ticker}.csv"
         pd.DataFrame({
-            \"Actual\": result[\"actual\"],
-            \"Forecast\": result[\"forecast\"]
+            "Actual": result["actual"],
+            "Forecast": result["forecast"]
         }).to_csv(predictions_csv)
         chart_png = f"chart_{ticker}.png"
-        pio.write(chart_plot, chart_png, format=\'png\')
+        pio.write_image(chart_plot, chart_png, format='png')
 
-        with open(log_path, \'r\') as log_file:
+        with open(log_path, 'r') as log_file:
             log_output = log_file.read()
 
         logging.info("Dashboard run completed successfully")
@@ -235,3 +236,4 @@ def main_interface():
 if __name__ == "__main__":
     main_interface().launch(server_name="0.0.0.0", server_port=7860, share=False)
 
+'''