Update app.py

app.py

@@ -49,10 +49,10 @@ def main():
     df = df.dropna(axis=0)
 
     # Rename columns
-    df = df.rename(columns={'1. open': 'open_original', '2. high': 'high_original', '3. low': 'low_original', '4. close': 'close', '5. volume': 'volume'})
+    df = df.rename(columns={'1. open': 'open_original', '2. high': 'high_original', '3. low': 'low_original', '4. close': 'Close', '5. volume': 'volume'})
 
     # Apply PCA for dimensionality reduction
-    df_reduced = apply_pca(df[['open_original', 'high_original', 'low_original', 'close', 'volume']])
+    df_reduced = apply_pca(df[['open_original', 'high_original', 'low_original', 'Close', 'volume']])
 
     # Calculate indicators on reduced data
     df_reduced = calculate_indicators(df_reduced)