diff --git a/lollms/personality.py b/lollms/personality.py
index 3310b23..a454348 100644
--- a/lollms/personality.py
+++ b/lollms/personality.py
@@ -85,7 +85,10 @@ class AIPersonality:
         self.config = config
         self.callback = callback
         self.app = app
-
+        if app is not None:
+            self.notify = app.notify
+        else:
+            self.notify = None
         self.text_files = []
         self.image_files = []
         self.vectorizer = None
@@ -379,20 +382,14 @@ Date: {{date}}
         self.scripts_path.mkdir(parents=True, exist_ok=True)
 
         # Verify if the persona has a data folder
-        if self.data_path.exists():
-            text = []
-            text_files = [file if file.exists() else "" for file in self.data_path.glob("*.txt")]
-            for file in text_files:
-                with open(str(file),"r") as f:
-                    text.append(f.read())
-            # Replace 'example_dir' with your desired directory containing .txt files
-            self._data = "\n".join(map((lambda x: f"\n{x}"), text))
-            print(self._data)
+        self.database_path = self.data_path / "db.json"
+        if self.database_path.exists():
             ASCIIColors.info("Building data ...",end="")
             self.persona_data_vectorizer = TextVectorizer(
-                        self.config.data_vectorization_method, # supported "model_embedding" or "tfidf_vectorizer"
+                        "tfidf_vectorizer", # self.config.data_vectorization_method, # supported "model_embedding" or "tfidf_vectorizer"
                         model=self.model, #needed in case of using model_embedding
-                        save_db=False,
+                        save_db=True,
+                        database_path=self.database_path,
                         data_visualization_method=VisualizationMethod.PCA,
                         database_dict=None)
             self.persona_data_vectorizer.add_document("persona_data", self._data,512,0)
@@ -1540,19 +1537,6 @@ class APScript(StateMachine):
         if callback:
             callback(code, MSG_TYPE.MSG_TYPE_CODE)
 
-    def notify(self, full_text:str, callback: Callable[[str, MSG_TYPE, dict, list], bool]=None):
-        """This sends full text to front end
-
-        Args:
-            step_text (dict): The step text
-            callback (callable, optional): A callable with this signature (str, MSG_TYPE) to send the text to. Defaults to None.
-        """
-        if not callback and self.callback:
-            callback = self.callback
-
-        if callback:
-            callback(full_text, MSG_TYPE.MSG_TYPE_INFO)
-
     def full(self, full_text:str, callback: Callable[[str, MSG_TYPE, dict, list], bool]=None):
         """This sends full text to front end
 
diff --git a/lollms/utilities.py b/lollms/utilities.py
index da6b738..6e2c131 100644
--- a/lollms/utilities.py
+++ b/lollms/utilities.py
@@ -16,8 +16,47 @@ import json
 import re
 import subprocess
 import gc
+
 from typing import List
 
+def find_first_available_file_index(folder_path, prefix, extension=""):
+    """
+    Finds the first available file index in a folder with files that have a prefix and an optional extension.
+    
+    Args:
+        folder_path (str): The path to the folder.
+        prefix (str): The file prefix.
+        extension (str, optional): The file extension (including the dot). Defaults to "".
+    
+    Returns:
+        int: The first available file index.
+    """
+    # Create a Path object for the folder
+    folder = Path(folder_path)
+    
+    # Get a list of all files in the folder
+    files = folder.glob(f'{prefix}*'+extension)
+    
+    # Initialize the first available number
+    available_number = 1
+    
+    # Iterate through the files
+    for file in files:
+        # Extract the number from the file name
+        file_number = int(file.stem[len(prefix):])
+        
+        # If the file number is equal to the available number, increment the available number
+        if file_number == available_number:
+            available_number += 1
+        # If the file number is greater than the available number, break the loop
+        elif file_number > available_number:
+            break
+    
+    return available_number
+
+
+
+
 # Prompting tools
 def detect_antiprompt(text:str, anti_prompts=["!@>"]) -> bool:
     """
@@ -69,7 +108,16 @@ def check_torch_version(min_version, min_cuda_versio=12):
 
 
 def reinstall_pytorch_with_cuda():
-    result = subprocess.run(["pip", "install", "--upgrade", "torch", "torchvision", "torchaudio", "--no-cache-dir", "--index-url", "https://download.pytorch.org/whl/cu121"])
+    try:
+        ASCIIColors.info("Installing cuda 12.1.1")
+        result = subprocess.run(["conda", "install", "-c", "nvidia/label/cuda-12.1.1", "cuda-toolkit"])
+    except Exception as ex:
+        ASCIIColors.error(ex)
+    try:
+        ASCIIColors.info("Installing pytorch 2.1.1")
+        result = subprocess.run(["pip", "install", "--upgrade", "torch", "torchvision", "torchaudio", "--no-cache-dir", "--index-url", "https://download.pytorch.org/whl/cu121"])
+    except Exception as ex:
+        ASCIIColors.error(ex)
     if result.returncode != 0:
         ASCIIColors.warning("Couldn't find Cuda build tools on your PC. Reverting to CPU.")
         result = subprocess.run(["pip", "install", "--upgrade", "torch", "torchvision", "torchaudio", "--no-cache-dir"])