Remove sidebar to make more space

app.py

@@ -79,8 +79,8 @@ def display(df):
         types_ = df.dtypes.to_dict()
         types_ = [{"Column": c, "Type": t} for c, t in types_.items()]
         df_ = pd.DataFrame(types_)
-        st.sidebar.subheader("TABLE DETAILS")
-        st.sidebar.write(df_)
+        st.subheader("TABLE DETAILS")
+        st.write(df_)
 
 
 def code_editor(language, hint, show_panel, key=None):
@@ -266,7 +266,7 @@ if __name__ == "__main__":
         Describe the table:
             DESCRIBE TABLE df
         """
-        number_cells = st.sidebar.number_input("Number of SQL cells to use", value=1, max_value=40)
+        number_cells = st.number_input("Number of SQL cells to use", value=1, max_value=40)
         for i in range(number_cells):
             col1, col2 = st.columns([2, 1])
             st.markdown("<br>", unsafe_allow_html=True)
@@ -312,7 +312,7 @@ if __name__ == "__main__":
             st.bar_chart(groups[i].mean())
         ```
         """
-        number_cells = st.sidebar.number_input("Number of Python cells to use", value=1, max_value=40, min_value=1, help=help)
+        number_cells = st.number_input("Number of Python cells to use", value=1, max_value=40, min_value=1, help=help)
         for i in range(number_cells):
             st.markdown("<br><br><br>", unsafe_allow_html=True)
             col1, col2 = st.columns([2, 1])
@@ -326,14 +326,14 @@ if __name__ == "__main__":
                 run_python_script(user_script, key=f"{user_script}{i}")
 
 
-    if st.sidebar.checkbox("Show SQL cells", value=True):
+    if st.checkbox("Show SQL cells", value=True):
         sql_cells(df)
-    if st.sidebar.checkbox("Show Python cells", value=True):
+    if st.checkbox("Show Python cells", value=True):
         python_cells()
 
-    st.sidebar.write("---")
+    st.write("---")
 
-    if st.sidebar.checkbox("Generate Data Profile Report", help="pandas profiling, generated by [ydata-profiling](https://github.com/ydataai/ydata-profiling)"):
+    if st.checkbox("Generate Data Profile Report", help="pandas profiling, generated by [ydata-profiling](https://github.com/ydataai/ydata-profiling)"):
         st.write("---")
         st.header("Data Profiling")
         profile = data_profiler(df)