Update app.py

app.py

@@ -1,6 +1,7 @@
 import streamlit as st
 import pandas as pd
 import datetime
+import io
 
 def save_text_as_file(text, file_type):
     current_time = datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
@@ -11,7 +12,7 @@ def save_text_as_file(text, file_type):
 
 def save_csv_as_excel(text):
     try:
-        df = pd.read_csv(pd.compat.StringIO(text), header=None)
+        df = pd.read_csv(io.StringIO(text), header=None)
         if df.iloc[0].dtype == object:
             header = 0
             file_name = f"csv_with_header_{datetime.datetime.now().strftime('%Y%m%d_%H%M%S')}.xlsx"
@@ -36,8 +37,27 @@ def create_demo_excel_file():
 
 def main():
     st.title("AI UI for Text Processing")
+    
+    st.markdown("""
+    ## Pandas Cheat Sheet
+    
+    | Lesson | Code Example |
+    |--------|-------------|
+    | 1. Import xlsx | `df = pd.read_excel('data.xlsx')` |
+    | 2. Export xlsx | `df.to_excel('output.xlsx', index=False)` |
+    | 3. Create DataFrame | `df = pd.DataFrame(data)` |
+    | 4. Apply function to DataFrame | `df['Column'] = df['Column'].apply(lambda x: x.capitalize())` |
+    | 5. Reduce columns | `df = df[['Column1', 'Column2']]` |
+    | 6. Aggregate data | `df_agg = df.groupby('Column').mean()` |
+    | 7. Create Plotly graph | `fig = px.bar(df, x='Column1', y='Column2')` |
+    | 8. Map values | `df['Column'] = df['Column'].map({'Old': 'New'})` |
+    | 9. Capitalize column | `df['Column'] = df['Column'].str.capitalize()` |
+    | 10. Filter DataFrame | `df_filtered = df[df['Column'] > 10]` |
+    | 11. Sort DataFrame | `df_sorted = df.sort_values('Column')` |
+    | 12. Merge DataFrames | `df_merged = pd.merge(df1, df2, on='Column')` |
+    """)
+    
     text_input = st.text_area("Paste your text here")
-
     if st.button("Process Text"):
         if text_input.strip() == "":
             st.warning("Please paste some text.")
@@ -50,7 +70,7 @@ def main():
                 save_text_as_file(text_input, "py")
             else:
                 save_text_as_file(text_input, "txt")
-
+    
     if st.button("Create Demo Excel File"):
         create_demo_excel_file()