From 345049abfc0c64eebd7f51ec02c0957badf17716 Mon Sep 17 00:00:00 2001
From: Vidalnt <raddiscord1@gmail.com>
Date: Wed, 4 Dec 2024 18:25:19 -0500
Subject: [PATCH] fix: :bug: Minor errors

---
 rvc/lib/algorithm/synthesizers.py |  1 +
 tabs/inference/inference.py       | 20 +++++++++++---------
 2 files changed, 12 insertions(+), 9 deletions(-)

diff --git a/rvc/lib/algorithm/synthesizers.py b/rvc/lib/algorithm/synthesizers.py
index e69f08eb..e0fd1db2 100644
--- a/rvc/lib/algorithm/synthesizers.py
+++ b/rvc/lib/algorithm/synthesizers.py
@@ -46,6 +46,7 @@ def __init__(
         n_layers: int,
         kernel_size: int,
         p_dropout: float,
+        resblock: str,
         resblock_kernel_sizes: list,
         resblock_dilation_sizes: list,
         upsample_rates: list,
diff --git a/tabs/inference/inference.py b/tabs/inference/inference.py
index f6e03800..e11376d9 100644
--- a/tabs/inference/inference.py
+++ b/tabs/inference/inference.py
@@ -178,7 +178,7 @@ def change_choices(model):
     if model:
         speakers = get_speakers_id(model)
     else:
-        speakers = 0
+        speakers = [0]
     names = [
         os.path.join(root, file)
         for root, _, files in os.walk(model_root_relative, topdown=False)
@@ -213,7 +213,7 @@ def change_choices(model):
             "choices": (
                 sorted(speakers)
                 if speakers is not None and isinstance(speakers, (list, tuple))
-                else []
+                else [0]
             ),
             "__type__": "update",
         },
@@ -221,7 +221,7 @@ def change_choices(model):
             "choices": (
                 sorted(speakers)
                 if speakers is not None and isinstance(speakers, (list, tuple))
-                else []
+                else [0]
             ),
             "__type__": "update",
         },
@@ -322,16 +322,18 @@ def refresh_embedders_folders():
 
 def get_speakers_id(model):
     if model:
-        model_data = torch.load(os.path.join(now_dir, model), map_location="cpu")
-        speakers_id = model_data.get("speakers_id")
-        if speakers_id:
-            return list(range(speakers_id))
-        else:
+        try:
+            model_data = torch.load(os.path.join(now_dir, model), map_location="cpu")
+            speakers_id = model_data.get("speakers_id")
+            if speakers_id:
+                return list(range(speakers_id))
+            else:
+                return [0]
+        except Exception as e: 
             return [0]
     else:
         return [0]
 
-
 # Inference tab
 def inference_tab():
     default_weight = names[0] if names else None