Add files via upload

README.md

@@ -293,6 +293,8 @@ As mentioned you must have a small portion of the Nvidia CUDA Toolkit **11.8** i
 12) When you have finished finetuning, the final tab will tell you what to do with your files and how to move your newly trained model to the correct location on disk.
 
 ## 🔵🟢🟡 DeepSpeed Installation Options
+**NOTE**: You **DO NOT** need to set Text-generation-webUI's **--deepspeed** setting for AllTalk to be able to use DeepSpeed. These are two completely separate things and incorrectly setting that on Text-generation-webUI may cause other complications.
+
 #### 🔵 Linux Installation
 <details>
 	<summary>Click to expand: Linux DeepSpeed installation</summary>

requirements_nvidia.txt

@@ -10,4 +10,4 @@ requests>=2.31.0
 tqdm>=4.66.1
 importlib-metadata>=4.8.1
 packaging>=23.2
-pydantic>=2.5.0
+pydantic>=1.10.13

requirements_other.txt

@@ -10,4 +10,4 @@ requests>=2.31.0
 tqdm>=4.66.1
 importlib-metadata>=4.8.1
 packaging>=23.2
-pydantic>=2.5.0
+pydantic>=1.10.13

tts_server.py

@@ -22,7 +22,6 @@ from fastapi.templating import Jinja2Templates
 from fastapi.staticfiles import StaticFiles
 from jinja2 import Template
 from contextlib import asynccontextmanager
-from pydantic import field_validator
 
 ###########################
 #### STARTUP VARIABLES ####
@@ -647,11 +646,10 @@ class JSONInput(BaseModel):
     autoplay: bool = Field(..., description="autoplay needs to be a true or false value.")
     autoplay_volume: float = Field(..., ge=0.1, le=1.0, description="autoplay_volume needs to be from 0.1 to 1.0")
 
-    @field_validator("autoplay_volume")
     @classmethod
     def validate_autoplay_volume(cls, value):
         if not (0.1 <= value <= 1.0):
-            raise ValidationError("Autoplay volume must be between 0.1 and 1.0")
+            raise ValueError("Autoplay volume must be between 0.1 and 1.0")
         return value