Update app.py

app.py

@@ -927,61 +927,67 @@ if query:
     st.markdown("---")
 
 
-    import os
+import os
     
-    from datasets import Dataset
+from datasets import Dataset
 
-    # Load existing comments or create a new dataset
-    if os.path.exists('comments'):
-        dataset = Dataset.load_from_disk('comments')
-    else:
-        dataset = Dataset.from_dict({'id': [], 'text': []})
+# Check if the comments directory exists
+if os.path.exists('comments'):
+    # Load the dataset from disk
+    dataset = Dataset.load_from_disk('comments')
+else:
+    # Create a new dataset
+    dataset = Dataset.from_dict({'id': [], 'text': []})
 
-    def save_comment(comment):
-        # Add the comment to the dataset
-        dataset['id'].append(len(dataset))
-        dataset['text'].append(comment)
+def save_comment(comment):
+    # Add the comment to the dataset
+    dataset['id'].append(len(dataset))
+    dataset['text'].append(comment)
 
-        # Save the dataset to disk
-        dataset.save_to_disk('comments')
+    # Save the dataset to disk
+    dataset.save_to_disk('comments')
 
-        print('Comment saved to dataset.')
+    print('Comment saved to dataset.')
 
-    st.title("Abstractalytics Web App")
-    st.write("We appreciate your feedback!")
+st.title("Abstractalytics Web App")
+st.write("We appreciate your feedback!")
 
-    user_comment = st.text_area("Please send us your anonymous remarks/suggestions about the Abstractalytics Web App: "
+user_comment = st.text_area("Please send us your anonymous remarks/suggestions about the Abstractalytics Web App: "
                             "(app will pause while we save your comments)")
 
-    if st.button("Submit"):
-        if user_comment:
-            save_comment(user_comment)
-            st.success("Your comment has been saved. Thank you for your feedback!")
-        else:
-            st.warning("Please enter a comment before submitting.")
+if st.button("Submit"):
+    if user_comment:
+        save_comment(user_comment)
+        st.success("Your comment has been saved. Thank you for your feedback!")
+    else:
+        st.warning("Please enter a comment before submitting.")
 
-    # Load the comments dataset from disk
+# Load the comments dataset from disk
+if os.path.exists('comments'):
     dataset = Dataset.load_from_disk('comments')
+else:
+    dataset = Dataset.from_dict({'id': [], 'text': []})
 
-    # Access the text column of the dataset
-    comments = dataset['text']
+# Access the text column of the dataset
+comments = dataset['text']
 
-    # Define the password
-    PASSWORD = 'ram100pass'
+# Define the password
+PASSWORD = 'ram100pass'
 
-    # Create a Streamlit app
-    st.set_page_config(page_title='Comments')
+# Create a Streamlit app
+st.set_page_config(page_title='Comments')
 
-    # Prompt the user for the password
-    password = st.text_input('Password:', type='password')
+# Prompt the user for the password
+password = st.text_input('Password:', type='password')
+
+# Display the comments if the password is correct
+if password == PASSWORD:
+    st.title('Comments')
+    for comment in comments:
+        st.write(comment)
+else:
+    st.warning('Incorrect password')
 
-    # Display the comments if the password is correct
-    if password == PASSWORD:
-        st.title('Comments')
-        for comment in comments:
-            st.write(comment)
-    else:
-        st.warning('Incorrect password')
 
 
     st.markdown("---")