Merge pull request #898 from IAHispano/exp/gradio-v5

move to gradio 5
IAHispano · Dec 4, 2024 · dbf1e9c · dbf1e9c
2 parents 66904a5 + 9f8b729
commit dbf1e9c
Show file tree

Hide file tree

Showing 4 changed files with 7 additions and 9 deletions.
diff --git a/assets/themes/Applio.py b/assets/themes/Applio.py
@@ -152,9 +152,6 @@ def __init__(
             button_secondary_text_color_dark="white",
             button_secondary_text_color_hover="*button_secondary_text_color",
             button_secondary_text_color_hover_dark="*button_secondary_text_color",
-            button_shadow="none",
-            button_shadow_active="*shadow_inset",
-            button_shadow_hover="none",
             button_small_padding="*spacing_sm calc(2 * *spacing_sm)",
             button_small_radius="*radius_lg",
             button_small_text_size="*text_md",

diff --git a/requirements.txt b/requirements.txt
@@ -33,7 +33,7 @@ transformers==4.44.2
 # Visualization and UI
 matplotlib==3.7.2
 tensorboard
-gradio==4.43.0
+gradio==5.5.0
 
 # Miscellaneous utilities
 certifi>=2023.07.22; sys_platform == 'darwin'  

diff --git a/run-install.bat b/run-install.bat
@@ -8,7 +8,7 @@ echo.
 set "INSTALL_DIR=%cd%"
 set "MINICONDA_DIR=%UserProfile%\Miniconda3"
 set "ENV_DIR=%INSTALL_DIR%\env"
-set "MINICONDA_URL=https://repo.anaconda.com/miniconda/Miniconda3-py39_23.9.0-0-Windows-x86_64.exe"
+set "MINICONDA_URL=https://repo.anaconda.com/miniconda/Miniconda3-py310_24.7.1-0-Windows-x86_64.exe"
 set "CONDA_EXE=%MINICONDA_DIR%\Scripts\conda.exe"
 
 call :cleanup
@@ -49,7 +49,7 @@ exit /b 0
 
 :create_conda_env
 echo Creating Conda environment...
-call "%MINICONDA_DIR%\_conda.exe" create --no-shortcuts -y -k --prefix "%ENV_DIR%" python=3.9
+call "%MINICONDA_DIR%\_conda.exe" create --no-shortcuts -y -k --prefix "%ENV_DIR%" python=3.10
 if errorlevel 1 goto :error
 echo Conda environment created successfully.
 echo.

diff --git a/tabs/inference/inference.py b/tabs/inference/inference.py
@@ -322,13 +322,14 @@ def refresh_embedders_folders():
 
 def get_speakers_id(model):
     if model:
-        model_data = torch.load(model, map_location="cpu")
-        speakers_id = model_data.get("speakers_id", 0)
+        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]
-
+    else:
+        return [0]
 
 # Inference tab
 def inference_tab():