Update app.py

app.py

@@ -9,15 +9,15 @@ from sklearn.feature_extraction.text import ENGLISH_STOP_WORDS
 # Load the CSV file
 df = pd.read_csv("anomalies.csv", quotechar='"')
 
+# Filter 'real' higher than 10 Million
+df= df[df['real'] >= 1000000.]
+
 # Convert 'real' column to standard float format and then to strings
 df['real'] = df['real'].apply(lambda x: f"{x:.2f}")
 
 # Fill NaN values and convert all columns to strings
 df = df.fillna('').astype(str)
 
-# Filter 'real' higher than 10 Million
-df= df[df['real'] >= 1000000.]
-
 print(df)
 
 # Function to remove stopwords