From 8e60ccfe3280341c420605eecaf7c25b0aaaaad6 Mon Sep 17 00:00:00 2001
From: XXXXRT666 <157766680+XXXXRT666@users.noreply.github.com>
Date: Wed, 21 Feb 2024 13:21:37 +0000
Subject: [PATCH 1/3] Update config.py

---
 config.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/config.py b/config.py
index 1f74128..eaf292f 100644
--- a/config.py
+++ b/config.py
@@ -6,7 +6,7 @@ import torch
 sovits_path = ""
 gpt_path = ""
 is_half_str = os.environ.get("is_half", "True")
-is_half = True if is_half_str.lower() == 'true' else False
+is_half = True if is_half_str.lower() == 'true' and not torch.backends.mps.is_available() else False
 is_share_str = os.environ.get("is_share","False")
 is_share= True if is_share_str.lower() == 'true' else False
 

From 5d2f5e09d02249c59b472775af1739c726499d60 Mon Sep 17 00:00:00 2001
From: XXXXRT666 <157766680+XXXXRT666@users.noreply.github.com>
Date: Wed, 21 Feb 2024 13:24:16 +0000
Subject: [PATCH 2/3] Update config.py

---
 config.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/config.py b/config.py
index eaf292f..1f74128 100644
--- a/config.py
+++ b/config.py
@@ -6,7 +6,7 @@ import torch
 sovits_path = ""
 gpt_path = ""
 is_half_str = os.environ.get("is_half", "True")
-is_half = True if is_half_str.lower() == 'true' and not torch.backends.mps.is_available() else False
+is_half = True if is_half_str.lower() == 'true' else False
 is_share_str = os.environ.get("is_share","False")
 is_share= True if is_share_str.lower() == 'true' else False
 

From 910741a104aba7b99bc9385e8880a9711a46438a Mon Sep 17 00:00:00 2001
From: XXXXRT666 <157766680+XXXXRT666@users.noreply.github.com>
Date: Wed, 21 Feb 2024 13:26:30 +0000
Subject: [PATCH 3/3] Update inference_webui.py

---
 GPT_SoVITS/inference_webui.py | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/GPT_SoVITS/inference_webui.py b/GPT_SoVITS/inference_webui.py
index d2f3f94..2693647 100644
--- a/GPT_SoVITS/inference_webui.py
+++ b/GPT_SoVITS/inference_webui.py
@@ -16,6 +16,7 @@ logging.getLogger("asyncio").setLevel(logging.ERROR)
 logging.getLogger("charset_normalizer").setLevel(logging.ERROR)
 logging.getLogger("torchaudio._extension").setLevel(logging.ERROR)
 import pdb
+import torch
 
 if os.path.exists("./gweight.txt"):
     with open("./gweight.txt", 'r', encoding="utf-8") as file:
@@ -48,11 +49,11 @@ is_share = os.environ.get("is_share", "False")
 is_share = eval(is_share)
 if "_CUDA_VISIBLE_DEVICES" in os.environ:
     os.environ["CUDA_VISIBLE_DEVICES"] = os.environ["_CUDA_VISIBLE_DEVICES"]
-is_half = eval(os.environ.get("is_half", "True"))
+is_half = eval(os.environ.get("is_half", "True")) and not torch.backends.mps.is_available()
 import gradio as gr
 from transformers import AutoModelForMaskedLM, AutoTokenizer
 import numpy as np
-import librosa, torch
+import librosa
 from feature_extractor import cnhubert
 
 cnhubert.cnhubert_base_path = cnhubert_base_path