Update app.py

app.py

@@ -42,31 +42,31 @@ st.title("About")
 st.subheader("You can tag your input CSV file of theses and dissertations with Library Science, Archival Studies, and Information Science categories. The screen will show the output.")
 
 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)
+with tab1:
+#===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
-
-    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)
+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
+
+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)