Update weights

.gitignore

@@ -1,2 +1,3 @@
 .env*
-*.pyc
+*.pyc
+.aider*

GPT_SoVITS/configs/tts_infer.yaml

@@ -3,9 +3,9 @@ custom:
   cnhuhbert_base_path: GPT_SoVITS/pretrained_models/chinese-hubert-base
   device: cpu
   is_half: false
-  t2s_weights_path: GPT_weights/exp2-e25.ckpt
+  t2s_weights_path: GPT_weights_v2/exp2-e25.ckpt
   version: v2
-  vits_weights_path: SoVITS_weights/exp2_e20_s5780.pth
+  vits_weights_path: SoVITS_weights_v2/exp2_e20_s5780.pth
 default:
   bert_base_path: GPT_SoVITS/pretrained_models/chinese-roberta-wwm-ext-large
   cnhuhbert_base_path: GPT_SoVITS/pretrained_models/chinese-hubert-base

GPT_weights_v2/21hr-e15.ckpt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a5a1c859887728ace157681a537d4e989e2e5ed4254a19102a857fef63dce421
+size 155312957

SoVITS_weights_v2/21hr_e13_s10621.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ae0f69486a80f47911fe1e348abb37814e5780260e9d9dd24d79e0dda8d6ff98
+size 85007879

app.py

@@ -23,21 +23,12 @@ logging.getLogger("asyncio").setLevel(logging.ERROR)
 logging.getLogger("charset_normalizer").setLevel(logging.ERROR)
 logging.getLogger("torchaudio._extension").setLevel(logging.ERROR)
 
-try:
-    import gradio.analytics as analytics
-    analytics.version_check = lambda: None
-except:
-    ...
 
-
-infer_ttswebui = os.environ.get("infer_ttswebui", 9872)
-infer_ttswebui = int(infer_ttswebui)
-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")) and torch.cuda.is_available()
+
 gpt_path = os.environ.get("gpt_path", None)
 sovits_path = os.environ.get("sovits_path", None)
 cnhubert_base_path = os.environ.get("cnhubert_base_path", None)
@@ -346,7 +337,7 @@ if __name__ == '__main__':
     app.queue().launch(
         server_name="0.0.0.0",
         inbrowser=True,
-        share=is_share,
+        share=True,
         server_port=9876,
         quiet=True,
     )