Update app.py

app.py

@@ -23,6 +23,7 @@ generator = pipeline("text2text-generation", model="google/flan-t5-base")
 # Function to classify customer comments
 @spaces.GPU
 def classify_comments(categories):
+    global df  # Ensure we're modifying the global DataFrame
     sentiments = []
     assigned_categories = []
     for comment in df['customer_comment']:
@@ -132,6 +133,7 @@ with gr.Blocks() as nps:
 
     # Function to load data from uploaded CSV
     def load_data(file):
+        global df  # Ensure we're modifying the global DataFrame
         if file is not None:
             file.seek(0)  # Reset file pointer
             if file.name.endswith('.csv'):
@@ -142,7 +144,6 @@ with gr.Blocks() as nps:
             required_columns = ['customer_comment', 'customer_nps']
             if not all(col in custom_df.columns for col in required_columns):
                 return f"Error: Uploaded CSV must contain the following columns: {', '.join(required_columns)}"
-            global df
             df = custom_df
             return "Custom CSV loaded successfully!"
         else: