Always refresh training environment before runs

app.py

@@ -1063,6 +1063,8 @@ def start_training(version=DEFAULT_VERSION, epochs=2, batch_size=1, save_every_e
     clear_live_log(ctx.sovits_live_log)
     try:
         yield push(logs, f"当前版本：{ctx.spec.version}（{ctx.spec.stability}）", ctx.sovits_live_log), None
+        for update in setup_environment_steps(logs, version, ctx.sovits_live_log):
+            yield update, None
         if not dataset_prepared(ctx):
             yield push(logs, f"{ctx.spec.version} 缺少预处理产物，开始自动补齐...", ctx.sovits_live_log), None
             for update in prepare_data_steps(logs, version, ctx.sovits_live_log):
@@ -1096,6 +1098,8 @@ def start_gpt_training(version=DEFAULT_VERSION, epochs=1, batch_size=1, save_eve
     clear_live_log(ctx.gpt_live_log)
     try:
         yield push(logs, f"当前版本：{ctx.spec.version}（{ctx.spec.stability}）", ctx.gpt_live_log), None
+        for update in setup_environment_steps(logs, version, ctx.gpt_live_log):
+            yield update, None
         if not dataset_prepared(ctx):
             yield push(logs, f"{ctx.spec.version} 缺少预处理产物，开始自动补齐...", ctx.gpt_live_log), None
             for update in prepare_data_steps(logs, version, ctx.gpt_live_log):