feat(models): expand chatterbox-en params (seed, repetition_penalty, min_p, top_p)

server/models/chatterbox_en.py

@@ -24,14 +24,38 @@ class Adapter:
             name="exaggeration", label="Exaggeration", type="float",
             default=0.5, min=0.0, max=2.0, step=0.05,
             help="Higher = more expressive prosody.",
+            group="basic",
         ),
         ParamSpec(
             name="cfg_weight", label="CFG weight", type="float",
             default=0.5, min=0.0, max=1.0, step=0.05,
+            group="basic",
         ),
         ParamSpec(
             name="temperature", label="Temperature", type="float",
             default=0.8, min=0.1, max=1.5, step=0.05,
+            group="basic",
+        ),
+        ParamSpec(
+            name="seed", label="Seed", type="int",
+            default=-1, min=-1, step=1,
+            help="-1 draws a random seed each time.",
+            group="advanced",
+        ),
+        ParamSpec(
+            name="repetition_penalty", label="Repetition penalty", type="float",
+            default=1.2, min=1.0, max=3.0, step=0.05,
+            group="advanced",
+        ),
+        ParamSpec(
+            name="min_p", label="Min p", type="float",
+            default=0.05, min=0.0, max=1.0, step=0.01,
+            group="advanced",
+        ),
+        ParamSpec(
+            name="top_p", label="Top p", type="float",
+            default=1.0, min=0.0, max=1.0, step=0.01,
+            group="advanced",
         ),
     ]
 
@@ -63,6 +87,9 @@ class Adapter:
             exaggeration=float(params.get("exaggeration", 0.5)),
             cfg_weight=float(params.get("cfg_weight", 0.5)),
             temperature=float(params.get("temperature", 0.8)),
+            repetition_penalty=float(params.get("repetition_penalty", 1.2)),
+            min_p=float(params.get("min_p", 0.05)),
+            top_p=float(params.get("top_p", 1.0)),
         )
         import numpy as np
         import torch