feat: add RMS averaging coefficient slider and update compressor plot handling

app.py

@@ -522,6 +522,13 @@ with gr.Blocks() as demo:
                 interactive=True,
                 label="Exp. Threshold (dB)",
             )
+            avg_coef = gr.Slider(
+                minimum=0,
+                maximum=1,
+                value=comp.params.avg_coef.item(),
+                interactive=True,
+                label="RMS Averaging Coefficient",
+            )
         with gr.Column():
             comp_plot = gr.Plot(
                 plot_comp(fx), label="Compressor Curve", elem_id="comp-plot"
@@ -624,19 +631,22 @@ with gr.Blocks() as demo:
         make_up,
         exp_ratio,
         exp_th,
+        avg_coef,
         attack_time,
         release_time,
     ]
-    cmp_update_funcs = [update_param] * 5 + [update_atrt] * 2
+    cmp_update_funcs = [update_param] * 6 + [update_atrt] * 2
     cmp_attr_names = [
         "cmp_th",
         "cmp_ratio",
         "make_up",
         "exp_ratio",
         "exp_th",
+        "avg_coef",
         "at",
         "rt",
     ]
+    cmp_update_plot_flag = [True] * 5 + [False] * 3
 
     delay_sliders = [delay_time, feedback, delay_lp_freq, delay_gain, odd_pan, even_pan]
     delay_update_funcs = (
@@ -698,7 +708,9 @@ with gr.Blocks() as demo:
             outputs=[z, fx_params, json_output, peq_plot] + update_pc_outputs,
         )
 
-    for f, s, attr_name in zip(cmp_update_funcs, cmp_sliders, cmp_attr_names):
+    for f, s, attr_name, update_plot in zip(
+        cmp_update_funcs, cmp_sliders, cmp_attr_names, cmp_update_plot_flag
+    ):
         s.input(
             chain_functions(
                 lambda x, s, e_pc_i, *all_s: (
@@ -713,12 +725,15 @@ with gr.Blocks() as demo:
                 ),
                 lambda _, fx, e_pc_i: (fx2x(fx), fx, e_pc_i),
                 lambda x, fx, e_pc_i: (x2z(x), x, fx, e_pc_i),
-                lambda z, x, fx, e_pc_i: [z, x]
-                + [model2json(fx), plot_comp(fx)]
+                lambda z, x, fx, e_pc_i, update_plot=update_plot: [z, x]
+                + [model2json(fx)]
+                + ([plot_comp(fx)] if update_plot else [])
                 + update_pc(z, e_pc_i),
             ),
             inputs=[fx_params, s, extra_pc_dropdown] + all_effect_sliders,
-            outputs=[z, fx_params, json_output, comp_plot] + update_pc_outputs,
+            outputs=[z, fx_params, json_output]
+            + ([comp_plot] if update_plot else [])
+            + update_pc_outputs,
         )
 
     for f, s, attr_name, update_plot in zip(