added reboot

app.py

@@ -13,7 +13,7 @@ __github__ = "https://github.com/ParisNeo/lollms-webui"
 __copyright__ = "Copyright 2023, "
 __license__ = "Apache 2.0"
 
-__version__ ="8.0 (Beta)"
+__version__ ="8.0"
 
 main_repo = "https://github.com/ParisNeo/lollms-webui.git"
 import os
@@ -1649,7 +1649,7 @@ try:
                         per.model = self.model
                 return jsonify({"status": True}) 
             except Exception as ex:
-                ASCIIColors.error(f"Couldn't build binding: [{ex}]")
+                self.error(f"Couldn't build binding: [{ex}]")
                 trace_exception(ex)
                 return jsonify({"status":False, 'error':str(ex)})
 

docs/youtube/lollms_v8.0_install_gpu.md

@@ -0,0 +1,19 @@
+Hi there,
+
+In this short I'm going to show you how to install lollms in GPU mode and use the hugging face binding to run inference.
+
+The steps to aceive this are simple:
+download the installer from the github of the project to an empty folder with a path that does not contain spaces.
+double click the installer and validate.
+select the install mode (Cuda, rocm or cpu)
+wait
+Run the app
+Choose the personal data folder
+Install a binding
+Reboot the app
+Select the binding
+Install a model
+Select a model
+
+
+Start by opening the lollms web user interface link that you can find in the description. Then go to the latest release page and download the 

scripts/linux/linux_install.sh

@@ -98,13 +98,6 @@ source "$MINICONDA_DIR/bin/activate" || ( echo "Miniconda hook not found." && ex
 if [ ! -d "$INSTALL_ENV_DIR" ]; then
   echo "Packages to install: $PACKAGES_TO_INSTALL"
   conda create -y -k -p "$INSTALL_ENV_DIR" $CHANNEL $PACKAGES_TO_INSTALL || ( echo && echo "Conda environment creation failed." && exit 1 )
-  if [[ "${gpuchoice^^}" == "A" ]]; then
-    conda run --live-stream -p "$INSTALL_ENV_DIR" python -m pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121 || ( echo && echo "Pytorch installation failed." && exit 1 )
-  elif [[ "${gpuchoice^^}" == "B" ]]; then
-    conda run --live-stream -p "$INSTALL_ENV_DIR" python -m pip install torch torchvision torchaudio  --index-url https://download.pytorch.org/whl/rocm5.4.2 || ( echo && echo "Pytorch installation failed." && exit 1 )
-  elif [[ "${gpuchoice^^}" == "C" ]]; then
-    conda run --live-stream -p "$INSTALL_ENV_DIR" python -m pip install torch torchvision torchaudio || ( echo && echo "Pytorch installation failed." && exit 1 )
-  fi
 fi
 
 # Check if conda environment was actually created

scripts/macos/macos_install.sh

@@ -95,12 +95,6 @@ if [ ! -d "$INSTALL_ENV_DIR" ]; then
   echo "Packages to install: $PACKAGES_TO_INSTALL"
   conda create -y -k -n "$ENV_NAME" $CHANNEL $PACKAGES_TO_INSTALL || ( echo && echo "Conda environment creation failed." && exit 1 )
   echo "Conda created and using packages: $PACKAGES_TO_INSTALL"
-  echo "Installing tools"
-  if [[ "$(echo $gpuchoice | tr '[:lower:]' '[:upper:]')" == "A" ]]; then
-    conda run --live-stream -n "$ENV_NAME" python -m pip install torch torchvision torchaudio --channel pytorch --channel conda-forge || ( echo && echo "Pytorch installation failed." && exit 1 )
-  elif [[ "$(echo $gpuchoice | tr '[:lower:]' '[:upper:]')" == "B" ]]; then
-    conda run --live-stream -n "$ENV_NAME" python -m pip install torch torchvision torchaudio --channel pytorch --channel conda-forge || ( echo && echo "Pytorch installation failed." && exit 1 )
-  fi
 fi
 
 # Activate installer environment

scripts/windows/win_install.bat

@@ -107,9 +107,6 @@ if /I "%gpuchoice%" == "B" (
 if not exist "%INSTALL_ENV_DIR%" (
   echo Packages to install: %PACKAGES_TO_INSTALL%
   call conda create --no-shortcuts -y -k -p "%INSTALL_ENV_DIR%" %CHANNEL% %PACKAGES_TO_INSTALL% || ( echo. && echo Conda environment creation failed. && goto end )
-  if /I "%gpuchoice%" == "A" call conda run --live-stream -p "%INSTALL_ENV_DIR%" python -m pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121|| ( echo. && echo Pytorch installation failed.&& goto end )
-  if /I "%gpuchoice%" == "B" call conda run --live-stream -p "%INSTALL_ENV_DIR%" python -m pip install torch torchvision torchaudio   --index-url https://download.pytorch.org/whl/rocm5.4.2|| ( echo. && echo Pytorch installation failed.&& goto end )
-  if /I "%gpuchoice%" == "C" call conda run --live-stream -p "%INSTALL_ENV_DIR%" python -m pip install torch torchvision torchaudio|| ( echo. && echo Pytorch installation failed.&& goto end )
 )
 
 @rem check if conda environment was actually created

web/dist/index.html

@@ -6,7 +6,7 @@
     
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <title>LoLLMS WebUI - Welcome</title>
-    <script type="module" crossorigin src="/assets/index-4179aa9a.js"></script>
+    <script type="module" crossorigin src="/assets/index-24f00053.js"></script>
     <link rel="stylesheet" href="/assets/index-80a485ca.css">
   </head>
   <body>

web/src/components/TopBar.vue

@@ -176,9 +176,11 @@ export default {
         this.systemTheme = window.matchMedia("prefers-color-scheme: dark").matches;
     },
     methods: {
-        refreshPage(event) {
+        async refreshPage(event) {
             event.preventDefault();
-            window.location.reload();
+            console.log("this.$store.state.api_get_req",this.$store.state.api_get_req)
+            await this.$store.state.api_get_req('restart_program')
+            window.close();
         },
         handleOk(inputText) {
             console.log("Input text:", inputText);

web/src/main.js

@@ -24,6 +24,7 @@ export const store = createStore({
     state () {
       return {
         // count: 0,
+        api_get_req:null,
         startSpeechRecognition:null,
         ready:false,
         loading_infos: "",
@@ -499,6 +500,7 @@ let actionsExecuted = false;
 app.mixin({
   async created() {
     if (!actionsExecuted) {
+      this.$store.state.api_get_req = api_get_req
       actionsExecuted = true;
       console.log("Calling")
       this.$store.state.loading_infos = "Loading Configuration"