Update app.py

app.py

@@ -174,7 +174,7 @@ def save_to_csv(text, language, sentiment, confidence, user_id="anonymous"):
                 df = pd.read_csv(CSV_FILE, encoding='utf-8-sig')
             else:
                 df = pd.DataFrame(columns=[
-                    "ID", "Timestamp", "User", "Text", "Language", "Sentiment", "Confidence"
+                    "ID", "Timestamp", "Text", "Language", "Sentiment", "Confidence"
                 ])
             
             if len(df) > 0:
@@ -185,7 +185,6 @@ def save_to_csv(text, language, sentiment, confidence, user_id="anonymous"):
             new_row = pd.DataFrame([{
                 "ID": new_id,
                 "Timestamp": datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
-                "User": user_id,
                 "Text": text,
                 "Language": language,
                 "Sentiment": sentiment,
@@ -217,7 +216,7 @@ def load_logs(limit=50):
     except Exception as e:
         print(f"Error loading logs: {e}")
         return pd.DataFrame(columns=[
-            "ID", "Timestamp", "User", "Text", "Language", "Sentiment", "Confidence"
+            "ID", "Timestamp", "Text", "Language", "Sentiment", "Confidence"
         ])
 
 def load_all_history():
@@ -232,12 +231,12 @@ def load_all_history():
             return df.iloc[::-1].reset_index(drop=True)
         else:
             return pd.DataFrame(columns=[
-                "ID", "Timestamp", "User", "Text", "Language", "Sentiment", "Confidence"
+                "ID", "Timestamp", "Text", "Language", "Sentiment", "Confidence"
             ])
     except Exception as e:
         print(f"Error loading history: {e}")
         return pd.DataFrame(columns=[
-            "ID", "Timestamp", "User", "Text", "Language", "Sentiment", "Confidence"
+            "ID", "Timestamp", "Text", "Language", "Sentiment", "Confidence"
         ])
 
 def clear_logs():
@@ -247,7 +246,7 @@ def clear_logs():
             os.remove(CSV_FILE)
         initialize_csv()
         return pd.DataFrame(columns=[
-            "ID", "Timestamp", "User", "Text", "Language", "Sentiment", "Confidence"
+            "ID", "Timestamp", "Text", "Language", "Sentiment", "Confidence"
         ])
     except Exception as e:
         print(f"Error clearing logs: {e}")
@@ -417,8 +416,8 @@ with gr.Blocks(title="Sentiment Analysis - Student Feedback") as demo:
     
     # Logs display with ID column
     logs_display = gr.Dataframe(
-        headers=["ID", "Timestamp", "User", "Text", "Language", "Sentiment", "Confidence"],
-        datatype=["number", "str", "str", "str", "str", "str", "number"],
+        headers=["ID", "Timestamp", "Text", "Language", "Sentiment", "Confidence"],
+        datatype=["number", "str", "str", "str", "str", "number"],
         label="Recent Analyses",
         wrap=True,
         interactive=False,
@@ -429,7 +428,7 @@ with gr.Blocks(title="Sentiment Analysis - Student Feedback") as demo:
     with gr.Row():
         view_history_btn = gr.Button("📚 View Complete History", variant="secondary", scale=1)
         copy_column_dropdown = gr.Dropdown(
-            choices=["ID", "Timestamp", "User", "Text", "Language", "Sentiment", "Confidence"],
+            choices=["ID", "Timestamp", "Text", "Language", "Sentiment", "Confidence"],
             label="Select column to copy",
             scale=2
         )
@@ -442,8 +441,8 @@ with gr.Blocks(title="Sentiment Analysis - Student Feedback") as demo:
     with history_panel:
         gr.Markdown("### 📚 Complete Analysis History")
         history_display = gr.Dataframe(
-            headers=["ID", "Timestamp", "User", "Text", "Language", "Sentiment", "Confidence"],
-            datatype=["number", "str", "str", "str", "str", "str", "number"],
+            headers=["ID", "Timestamp", "Text", "Language", "Sentiment", "Confidence"],
+            datatype=["number", "str", "str", "str", "str", "number"],
             label="Complete History",
             wrap=True,
             interactive=False,