Update app.py

app.py

@@ -7,16 +7,16 @@ import datetime
 # Load the CSV file and ensure proper formatting
 df = pd.read_csv("anomalies.csv", quotechar='"')
 
-# Convert 'real' column to standard float format
+# 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)
 
-# Ensure that the 'Group' column doesn't have excessive length or unexpected values
-df['Group'] = df['Group'].str.slice(0, 255)  # Truncate to 255 characters if needed
+# Truncate long strings in 'Group' column if necessary
+df['Group'] = df['Group'].str.slice(0, 255)
 
-# Function to generate a response using the TAPEX model
+# Function to generate a response using the TAPAS model
 def response(user_question, df):
     a = datetime.datetime.now()