Update app.py

app.py

@@ -152,6 +152,12 @@ with tab1:
         st.warning("Please upload a CSV file to get started.")
     else:
         df = pd.read_csv(uploaded_file)
+
+        #Preview Uploaded Data
+        st.subheader("Preview Uploaded Data")
+        st.dataframe(df.head(5))
+
+        
         # Load the fine-tuned news classifier
         classifier = pipeline("text-classification", model="Imasha17/News_classification.4")
 
@@ -213,9 +219,7 @@ with tab1:
         # Keep only necessary columns
         df = df[['content','Class']]
         
-        #Preview Uploaded Data
-        st.subheader("Preview Uploaded Data")
-        st.dataframe(df.head(5))
+
 
         #show Classification Results
         st.subheader("Classification Results")