bug fix

app.py

@@ -100,7 +100,7 @@ initial_table_data = [{'Text (portion)': ["who's speaking? \n you goddamn cocksu
   'Toxicity class 2': ['obscene'],
   'Class 2 probability': 0.16506287455558777}]
 for d in initial_table_data:
-    pd.concat([table_df, pd.DataFrame(d)], ignore_index=True)
+    table_df = pd.concat([table_df, pd.DataFrame(d)], ignore_index=True)
 # Load the model and perform toxicity analysis
 if st.button("Analyze"):
     if not text:
@@ -108,6 +108,7 @@ if st.button("Analyze"):
     else:
         with st.spinner("Analyzing toxicity..."):
             if selected_model == "Olivernyu/finetuned_bert_base_uncased":
+                st.table(table_df)
                 toxicity_detector = load_model(selected_model)
                 outputs = toxicity_detector(text, top_k=2)
                 category_names = ["toxic", "severe_toxic", "obscene", "threat", "insult", "identity_hate"]
@@ -123,7 +124,7 @@ if st.button("Analyze"):
                     "Toxicity class 2": [results[1][0]],
                     f"Class 2 probability": results[1][1]
                 }
-                table_df = pd.concat([table_df, pd.DataFrame(table_data)], ignore_index=True)
+                table_df = pd.concat([pd.DataFrame(table_data), table_df], ignore_index=True)
                 st.table(table_df)
             else:
                 sentiment_pipeline = load_model(selected_model)