Update app.py

app.py

@@ -45,20 +45,19 @@ tab1, tab2, tab3 = st.tabs(["📈 Load Data", "📃 Tagged ETDs", "📓 Download
 
 with tab1:
 #===load data===
-
     if uploaded_file is not None:
-    df = pd.read_csv(uploaded_file, encoding='latin-1')
-    st.dataframe(df)
+        df = pd.read_csv(uploaded_file, encoding='latin-1')
+        st.dataframe(df)
     
 with tab2:
 #===tagged ETDs===
 # Tag the "Abstract" column with the corresponding categories
 
     if uploaded_file is not None:
-    df = pd.read_csv(uploaded_file, encoding='latin-1')
-    st.dataframe(df)
-    df['category'] = df['Abstract'].apply(predict_category)
-    st.dataframe(df)
+        df = pd.read_csv(uploaded_file, encoding='latin-1')
+        st.dataframe(df)
+        df['category'] = df['Abstract'].apply(predict_category)
+        st.dataframe(df)
     
 # Function to predict the category for a given abstract
 def predict_category(abstract):
@@ -73,7 +72,7 @@ with tab3:
 # Create a download button
 
     if st.sidebar.button("Download"):
-    csv = df.to_csv(index=False)
-    b64 = base64.b64encode(csv.encode()).decode()
-    href = f'<a href="data:file/csv;base64,{b64}" download="results.csv">Download csv file</a>'
-    st.markdown(href, unsafe_allow_html=True)
+        csv = df.to_csv(index=False)
+        b64 = base64.b64encode(csv.encode()).decode()
+        href = f'<a href="data:file/csv;base64,{b64}" download="results.csv">Download csv file</a>'
+        st.markdown(href, unsafe_allow_html=True)