Update app.py

app.py

@@ -43,30 +43,30 @@ st.subheader("You can tag your input CSV file of theses and dissertations with L
 
  tab1, tab2, tab3 = st.tabs(["📈 Load Data", "📃 Tagged ETDs", "📓 Download Data"])
    with tab1:
-         #===load data===
-        if uploaded_file is not None:
-        df = pd.read_csv(uploaded_file, encoding='latin-1')
-        st.dataframe(df)
+    #===load data===
+    if uploaded_file is not None:
+    df = pd.read_csv(uploaded_file, encoding='latin-1')
+    st.dataframe(df)
        
 
     with tab2:
-        #===tagged ETDs===
-         # Tag the "Abstract" column with the corresponding categories
-        df['category'] = df['Abstract'].apply(predict_category)
-        st.dataframe(df)
-        # Function to predict the category for a given abstract
-        def predict_category(abstract):
-        # Preprocess the abstract
-        abstract_preprocessed = preprocessing.transform([abstract])
-        # Make prediction
-        prediction = svm_classifier.predict(abstract_preprocessed)
-        return prediction
+    #===tagged ETDs===
+    # Tag the "Abstract" column with the corresponding categories
+    df['category'] = df['Abstract'].apply(predict_category)
+    st.dataframe(df)
+    # Function to predict the category for a given abstract
+    def predict_category(abstract):
+    # Preprocess the abstract
+    abstract_preprocessed = preprocessing.transform([abstract])
+    # Make prediction
+    prediction = svm_classifier.predict(abstract_preprocessed)
+    return prediction
 
     with tab3:
-        #===download result===
-        # 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)
+    #===download result===
+    # 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)