Update sections.py

sections.py

@@ -243,33 +243,6 @@ def section_initial_data() -> None:
             st.dataframe(st.session_state.df_existing_mat, use_container_width=True)
 
     # ── Background noise ───────────────────────────────────────────────────
-    # with t_bn:
-
-    #     st.write('''The primary objective here is to provide the initial input data needed to 
-    #     start background noise analysis. See the 'Instructions' on the left for formatting information''')
-        
-    #     c1, c2, c3 = st.columns([3, 2, 1])
-    #     st.session_state.bn_input_loc = c1.text_input(
-    #         "Location", st.session_state.bn_input_loc)
-    #     st.session_state.bn_input_val = c2.number_input(
-    #         "dBA", value=st.session_state.bn_input_val, min_value=0.0, step=0.1)
-
-    #     if c3.button("Add / Update"):
-    #         loc = st.session_state.bn_input_loc.strip()
-    #         if loc:
-    #             df = st.session_state.df_background_noise
-    #             if loc in df["Location"].values:
-    #                 df.loc[df["Location"] == loc, "dBA"] = st.session_state.bn_input_val
-    #             else:
-    #                 df.loc[len(df)] = [loc, st.session_state.bn_input_val]
-    #             st.session_state.df_background_noise = df
-
-    #     if st.session_state.df_background_noise.empty:
-    #         st.warning("⚠️ Enter at least one background-noise measurement.")
-
-    #     st.dataframe(st.session_state.df_background_noise, use_container_width=True)
-
-
     with t_bn:
 
         # ------------------------------------------------------------------
@@ -602,38 +575,7 @@ def section_final_checks() -> None:
         for f in FREQUENCIES
     }
 
-    # ── RT60 final check ───────────────────────────────────────────────────
-    # with t_rt:
-    #     if st.session_state.room_volume == 0 or not combined:
-    #         st.warning("⚠️ Provide volume + materials, then run Acoustic Treatment.")
-    #     else:
-    #         new_rt = {f: calc_abs_area(st.session_state.room_volume, a)
-    #                   for f, a in combined.items()}
-    #         st.markdown("New RT60 values after acoustic treatment")
-    #         st.dataframe(pd.DataFrame([new_rt], index=["New RT60"]),
-    #                      use_container_width=True)
-
-    #         y_cur = ([float(st.session_state.df_current_rt.iloc[0][f])
-    #                   for f in FREQUENCIES]
-    #                  if st.session_state.df_current_rt is not None else [None]*6)
-
-    #         fig = plot_rt_band(
-    #             y_cur,
-    #             [st.session_state.rt_min]*6,
-    #             [st.session_state.rt_max]*6,
-    #             "Final RT60 vs Standard Range",
-    #         )
-    #         fig.add_trace(go.Scatter(
-    #             x=FREQUENCIES,
-    #             y=[new_rt[f] for f in FREQUENCIES],
-    #             mode="lines+markers",
-    #             name="New",
-    #             marker_color="#d62728",
-    #         ))
-    #         st.plotly_chart(fig, use_container_width=True)
-    #         st.session_state.fig_rt_final = fig
-
-    # ── RT60 final check ───────────────────────────────────────────────────
+    
     # ── RT60 final check ───────────────────────────────────────────────────
     with t_rt:
         if st.session_state.room_volume == 0 or not st.session_state.new_absorption:
@@ -756,14 +698,19 @@ def section_faq() -> None:
     ### Frequently Asked Questions
     **Q1: What should I do if the data upload fails?**
     Ensure your file is in the correct format (CSV or Excel). Check that the column headings are consistent with the expected format (e.g., `125`, `250`, `500`, `1000`, `2000`, `4000` or `125Hz`, `250Hz`, `500Hz`, `1KHz`, `2KHz`, `4KHz`). Remove any extra rows or columns that do not contain relevant data.
+    
     **Q2: How do I interpret the RT60 values?**
     RT60 values represent the time it takes for the sound to decay by 60 dB in a room. Lower RT60 values indicate faster sound decay and are preferable for environments where speech intelligibility is important. Higher RT60 values might be suitable for spaces intended for musical performances.
+    
     **Q3: Why is my calculated RT60 not within the standard range?**
     This may occur if the room's current materials are not adequately absorbing sound. You may need to introduce new materials with higher absorption coefficients or increase the surface area of existing materials.
+    
     **Q4: What should I do if the app does not accept my frequency columns?**
     The app standardizes frequency columns to numerical values (e.g., `125`, `250`) regardless of their initial format (e.g., `125Hz`, `125 Hz`). Ensure that the frequency values in your uploaded file are correctly formatted and consistent.
+    
     **Q5: How can I improve speech intelligibility in my room?**
     To improve speech intelligibility, aim for a lower RT60 across the relevant frequencies, particularly in the range of 500 Hz to 4000 Hz. This can be achieved by adding more sound-absorbing materials, such as acoustic panels or curtains.
+    
     **Q6: How can I save my analysis results?**
     You can download the PDF report, which includes all the data and graphs from your analysis. Click the "Download PDF Report" button at the end of your analysis to save the report to your device.
     ### Troubleshooting Tips