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App_Function_Libraries/Gradio_UI/Arxiv_tab.py

@@ -20,7 +20,7 @@ import gradio as gr
 # Functions:
 
 def create_arxiv_tab():
-    with gr.TabItem("Arxiv Search & Ingest"):
+    with gr.TabItem("Arxiv Search & Ingest", visible=True):
         gr.Markdown("# arXiv Search, Browse, Download, and Ingest")
         gr.Markdown("#### Thank you to arXiv for use of its open access interoperability.")
         with gr.Row():

App_Function_Libraries/Gradio_UI/Audio_ingestion_tab.py

@@ -20,7 +20,7 @@ from App_Function_Libraries.Metrics.logger_config import logger
 # Functions:
 
 def create_audio_processing_tab():
-    with gr.TabItem("Audio File Transcription + Summarization"):
+    with gr.TabItem("Audio File Transcription + Summarization", visible=True):
         gr.Markdown("# Transcribe & Summarize Audio Files from URLs or Local Files!")
         with gr.Row():
             with gr.Column():

App_Function_Libraries/Gradio_UI/Backup_Functionality.py

@@ -34,7 +34,7 @@ def restore_backup(backup_name: str) -> str:
 
 
 def create_backup_tab():
-    with gr.Tab("Create Backup"):
+    with gr.Tab("Create Backup", visible=True):
         gr.Markdown("# Create a backup of the database")
         gr.Markdown("This will create a backup of the database in the backup directory(the default backup directory is `/tldw_DB_Backups/')")
         with gr.Row():
@@ -46,7 +46,7 @@ def create_backup_tab():
 
 
 def create_view_backups_tab():
-    with gr.TabItem("View Backups"):
+    with gr.TabItem("View Backups", visible=True):
         gr.Markdown("# Browse available backups")
         with gr.Row():
             with gr.Column():
@@ -57,7 +57,7 @@ def create_view_backups_tab():
 
 
 def create_restore_backup_tab():
-    with gr.TabItem("Restore Backup"):
+    with gr.TabItem("Restore Backup", visible=True):
         gr.Markdown("# Restore a backup of the database")
         with gr.Column():
             backup_input = gr.Textbox(label="Backup Filename")

App_Function_Libraries/Gradio_UI/Book_Ingestion_tab.py

@@ -22,7 +22,7 @@ from App_Function_Libraries.Books.Book_Ingestion_Lib import process_zip_file, im
 
 
 def create_import_book_tab():
-    with gr.TabItem("Ebook(epub) Files"):
+    with gr.TabItem("Ebook(epub) Files", visible=True):
         with gr.Row():
             with gr.Column():
                 gr.Markdown("# Import .epub files")

App_Function_Libraries/Gradio_UI/Character_Chat_tab.py

@@ -254,7 +254,7 @@ def export_all_characters():
 # Gradio tabs
 
 def create_character_card_interaction_tab():
-    with gr.TabItem("Chat with a Character Card"):
+    with gr.TabItem("Chat with a Character Card", visible=True):
         gr.Markdown("# Chat with a Character Card")
         with gr.Row():
             with gr.Column(scale=1):
@@ -1025,7 +1025,7 @@ def create_character_card_interaction_tab():
 
 
 def create_character_chat_mgmt_tab():
-    with gr.TabItem("Character and Chat Management"):
+    with gr.TabItem("Character and Chat Management", visible=True):
         gr.Markdown("# Character and Chat Management")
 
         with gr.Row():
@@ -1063,12 +1063,12 @@ def create_character_chat_mgmt_tab():
             conversation_mapping = gr.State({})
 
         with gr.Tabs():
-            with gr.TabItem("Edit"):
+            with gr.TabItem("Edit", visible=True):
                 chat_content = gr.TextArea(label="Chat/Character Content (JSON)", lines=20, max_lines=50)
                 save_button = gr.Button("Save Changes")
                 delete_button = gr.Button("Delete Conversation/Character", variant="stop")
 
-            with gr.TabItem("Preview"):
+            with gr.TabItem("Preview", visible=True):
                 chat_preview = gr.HTML(label="Chat/Character Preview")
         result_message = gr.Markdown("")
 
@@ -1380,7 +1380,7 @@ def create_character_chat_mgmt_tab():
         )
 
 def create_custom_character_card_tab():
-    with gr.TabItem("Create a New Character Card"):
+    with gr.TabItem("Create a New Character Card", visible=True):
         gr.Markdown("# Create a New Character Card (v2)")
 
         with gr.Row():
@@ -1630,7 +1630,7 @@ def create_custom_character_card_tab():
 
 #v1
 def create_character_card_validation_tab():
-    with gr.TabItem("Validate Character Card"):
+    with gr.TabItem("Validate Character Card", visible=True):
         gr.Markdown("# Validate Character Card (v2)")
         gr.Markdown("Upload a character card (PNG, WEBP, or JSON) to validate whether it conforms to the Character Card V2 specification.")
 
@@ -1786,7 +1786,7 @@ def create_character_card_validation_tab():
 
 
 def create_export_characters_tab():
-    with gr.TabItem("Export Characters"):
+    with gr.TabItem("Export Characters", visible=True):
         gr.Markdown("# Export Characters")
         gr.Markdown("Export character cards individually as JSON files or all together as a ZIP file.")
 
@@ -1808,6 +1808,7 @@ def create_export_characters_tab():
                 export_output = gr.File(label="Exported Character(s)", interactive=False)
                 export_status = gr.Markdown("")
 
+# FIXME
         def export_single_character_wrapper(character_selection):
             file_path, status_message = export_single_character(character_selection)
             if file_path:

App_Function_Libraries/Gradio_UI/Character_interaction_tab.py

@@ -253,7 +253,7 @@ def character_interaction(character1: str, character2: str, api_endpoint: str, a
 
 
 def create_multiple_character_chat_tab():
-    with gr.TabItem("Multi-Character Chat"):
+    with gr.TabItem("Multi-Character Chat", visible=True):
         characters, conversation, current_character, other_character = character_interaction_setup()
 
         with gr.Blocks() as character_interaction:
@@ -393,7 +393,7 @@ def create_multiple_character_chat_tab():
 
 # From `Fuzzlewumper` on Reddit.
 def create_narrator_controlled_conversation_tab():
-    with gr.TabItem("Narrator-Controlled Conversation"):
+    with gr.TabItem("Narrator-Controlled Conversation", visible=True):
         gr.Markdown("# Narrator-Controlled Conversation")
 
         with gr.Row():

App_Function_Libraries/Gradio_UI/Chat_Workflows.py

@@ -24,7 +24,7 @@ with json_path.open('r') as f:
 
 
 def chat_workflows_tab():
-    with gr.TabItem("Chat Workflows"):
+    with gr.TabItem("Chat Workflows", visible=True):
         gr.Markdown("# Workflows using LLMs")
         chat_history = gr.State([])
         media_content = gr.State({})

App_Function_Libraries/Gradio_UI/Chat_ui.py

@@ -206,7 +206,7 @@ def create_chat_interface():
         font-size: 14px !important;
     }
     """
-    with gr.TabItem("Remote LLM Chat (Horizontal)"):
+    with gr.TabItem("Remote LLM Chat (Horizontal)", visible=True):
         gr.Markdown("# Chat with a designated LLM Endpoint, using your selected item as starting context")
         chat_history = gr.State([])
         media_content = gr.State({})
@@ -417,7 +417,7 @@ def create_chat_interface_stacked():
         font-size: 14px !important;
     }
     """
-    with gr.TabItem("Remote LLM Chat - Stacked"):
+    with gr.TabItem("Remote LLM Chat - Stacked", visible=True):
         gr.Markdown("# Stacked Chat")
         chat_history = gr.State([])
         media_content = gr.State({})
@@ -580,7 +580,7 @@ def create_chat_interface_multi_api():
         overflow-y: auto;
     }
     """
-    with gr.TabItem("One Prompt - Multiple APIs"):
+    with gr.TabItem("One Prompt - Multiple APIs", visible=True):
         gr.Markdown("# One Prompt but Multiple APIs Chat Interface")
 
         with gr.Row():
@@ -759,7 +759,7 @@ def create_chat_interface_four():
     }
     """
 
-    with gr.TabItem("Four Independent API Chats"):
+    with gr.TabItem("Four Independent API Chats", visible=True):
         gr.Markdown("# Four Independent API Chat Interfaces")
 
         with gr.Row():
@@ -956,7 +956,7 @@ def chat_wrapper_single(message, chat_history, chatbot, api_endpoint, api_key, t
 
 # FIXME - Finish implementing functions + testing/valdidation
 def create_chat_management_tab():
-    with gr.TabItem("Chat Management"):
+    with gr.TabItem("Chat Management", visible=True):
         gr.Markdown("# Chat Management")
 
         with gr.Row():
@@ -967,12 +967,12 @@ def create_chat_management_tab():
         conversation_mapping = gr.State({})
 
         with gr.Tabs():
-            with gr.TabItem("Edit"):
+            with gr.TabItem("Edit", visible=True):
                 chat_content = gr.TextArea(label="Chat Content (JSON)", lines=20, max_lines=50)
                 save_button = gr.Button("Save Changes")
                 delete_button = gr.Button("Delete Conversation", variant="stop")
 
-            with gr.TabItem("Preview"):
+            with gr.TabItem("Preview", visible=True):
                 chat_preview = gr.HTML(label="Chat Preview")
         result_message = gr.Markdown("")
 

App_Function_Libraries/Gradio_UI/Config_tab.py

@@ -25,7 +25,7 @@ def save_config_from_text(text):
 
 
 def create_config_editor_tab():
-    with gr.TabItem("Edit Config"):
+    with gr.TabItem("Edit Config", visible=True):
         gr.Markdown("# Edit Configuration File")
 
         with gr.Row():

App_Function_Libraries/Gradio_UI/Embeddings_tab.py

@@ -22,7 +22,7 @@ from App_Function_Libraries.Chunk_Lib import improved_chunking_process, chunk_fo
 # Functions:
 
 def create_embeddings_tab():
-    with gr.TabItem("Create Embeddings"):
+    with gr.TabItem("Create Embeddings", visible=True):
         gr.Markdown("# Create Embeddings for All Content")
 
         with gr.Row():
@@ -185,7 +185,7 @@ def create_embeddings_tab():
 
 
 def create_view_embeddings_tab():
-    with gr.TabItem("View/Update Embeddings"):
+    with gr.TabItem("View/Update Embeddings", visible=True):
         gr.Markdown("# View and Update Embeddings")
         item_mapping = gr.State({})
         with gr.Row():
@@ -475,7 +475,7 @@ def create_view_embeddings_tab():
 
 
 def create_purge_embeddings_tab():
-    with gr.TabItem("Purge Embeddings"):
+    with gr.TabItem("Purge Embeddings", visible=True):
         gr.Markdown("# Purge Embeddings")
 
         with gr.Row():

App_Function_Libraries/Gradio_UI/Evaluations_Benchmarks_tab.py

@@ -6,7 +6,7 @@ import gradio as gr
 from App_Function_Libraries.Benchmarks_Evaluations.ms_g_eval import run_geval
 
 def create_geval_tab():
-    with gr.Tab("G-Eval"):
+    with gr.Tab("G-Eval", visible=True):
         gr.Markdown("# G-Eval Summarization Evaluation")
         with gr.Row():
             with gr.Column():
@@ -31,7 +31,7 @@ def create_geval_tab():
 
 
 def create_infinite_bench_tab():
-    with gr.Tab("Infinite Bench"):
+    with gr.Tab("Infinite Bench", visible=True):
         gr.Markdown("# Infinite Bench Evaluation (Coming Soon)")
         with gr.Row():
             with gr.Column():

App_Function_Libraries/Gradio_UI/Explain_summarize_tab.py

@@ -24,7 +24,7 @@ from App_Function_Libraries.Summarization.Summarization_General_Lib import summa
 # Functions:
 
 def create_summarize_explain_tab():
-    with gr.TabItem("Analyze Text"):
+    with gr.TabItem("Analyze Text", visible=True):
         gr.Markdown("# Analyze / Explain / Summarize Text without ingesting it into the DB")
         with gr.Row():
             with gr.Column():

App_Function_Libraries/Gradio_UI/Import_Functionality.py

@@ -159,7 +159,7 @@ def parse_obsidian_note(file_path):
     }
 
 def create_import_single_prompt_tab():
-    with gr.TabItem("Import a Prompt"):
+    with gr.TabItem("Import a Prompt", visible=True):
         gr.Markdown("# Import a prompt into the database")
 
         with gr.Row():
@@ -213,7 +213,7 @@ def create_import_single_prompt_tab():
         )
 
 def create_import_item_tab():
-    with gr.TabItem("Import Markdown/Text Files"):
+    with gr.TabItem("Import Markdown/Text Files", visible=True):
         gr.Markdown("# Import a markdown file or text file into the database")
         gr.Markdown("...and have it tagged + summarized")
         with gr.Row():
@@ -246,7 +246,7 @@ def create_import_item_tab():
 
 
 def create_import_multiple_prompts_tab():
-    with gr.TabItem("Import Multiple Prompts"):
+    with gr.TabItem("Import Multiple Prompts", visible=True):
         gr.Markdown("# Import multiple prompts into the database")
         gr.Markdown("Upload a zip file containing multiple prompt files (txt or md)")
 
@@ -326,7 +326,7 @@ def create_import_multiple_prompts_tab():
 
 
 def create_import_obsidian_vault_tab():
-    with gr.TabItem("Import Obsidian Vault"):
+    with gr.TabItem("Import Obsidian Vault", visible=True):
         gr.Markdown("## Import Obsidian Vault")
         with gr.Row():
             with gr.Column():

App_Function_Libraries/Gradio_UI/Introduction_tab.py

@@ -16,7 +16,7 @@ from App_Function_Libraries.DB.DB_Manager import get_db_config
 
 
 def create_introduction_tab():
-    with (gr.TabItem("Introduction")):
+    with gr.TabItem("Introduction", visible=True):
         db_config = get_db_config()
         db_type = db_config['type']
         gr.Markdown(f"# tldw: Your LLM-powered Research Multi-tool (Using {db_type.capitalize()} Database)")

App_Function_Libraries/Gradio_UI/Keywords.py

@@ -19,7 +19,7 @@ from App_Function_Libraries.DB.DB_Manager import add_keyword, delete_keyword, ke
 
 
 def create_export_keywords_tab():
-    with gr.Tab("Export Keywords"):
+    with gr.TabItem("Export Keywords", visible=True):
         with gr.Row():
             with gr.Column():
                 export_keywords_button = gr.Button("Export Keywords")
@@ -33,7 +33,7 @@ def create_export_keywords_tab():
             )
 
 def create_view_keywords_tab():
-    with gr.TabItem("View Keywords"):
+    with gr.TabItem("View Keywords", visible=True):
         gr.Markdown("# Browse Keywords")
         with gr.Column():
             browse_output = gr.Markdown()
@@ -42,7 +42,7 @@ def create_view_keywords_tab():
 
 
 def create_add_keyword_tab():
-    with gr.TabItem("Add Keywords"):
+    with gr.TabItem("Add Keywords", visible=True):
         with gr.Row():
             with gr.Column():
                 gr.Markdown("# Add Keywords to the Database")
@@ -54,7 +54,7 @@ def create_add_keyword_tab():
 
 
 def create_delete_keyword_tab():
-    with gr.Tab("Delete Keywords"):
+    with gr.Tab("Delete Keywords", visible=True):
         with gr.Row():
             with gr.Column():
                 gr.Markdown("# Delete Keywords from the Database")

App_Function_Libraries/Gradio_UI/Live_Recording.py

@@ -22,7 +22,7 @@ whisper_models = ["small", "medium", "small.en", "medium.en", "medium", "large",
                   "distil-large-v2", "distil-medium.en", "distil-small.en"]
 
 def create_live_recording_tab():
-    with gr.Tab("Live Recording and Transcription"):
+    with gr.Tab("Live Recording and Transcription", visible=True):
         gr.Markdown("# Live Audio Recording and Transcription")
         with gr.Row():
             with gr.Column():

App_Function_Libraries/Gradio_UI/Llamafile_tab.py

@@ -0,0 +1,312 @@
+# Llamafile_tab.py
+# Description: Gradio interface for configuring and launching Llamafile with Local LLMs
+
+# Imports
+import os
+import logging
+from typing import Tuple, Optional
+import gradio as gr
+
+
+from App_Function_Libraries.Local_LLM.Local_LLM_Inference_Engine_Lib import (
+    download_llm_model,
+    llm_models,
+    start_llamafile,
+    get_gguf_llamafile_files
+)
+#
+#######################################################################################################################
+#
+# Functions:
+
+def create_chat_with_llamafile_tab():
+    # Function to update model path based on selection
+    def on_local_model_change(selected_model: str, search_directory: str) -> str:
+        if selected_model and isinstance(search_directory, str):
+            model_path = os.path.abspath(os.path.join(search_directory, selected_model))
+            logging.debug(f"Selected model path: {model_path}")  # Debug print for selected model path
+            return model_path
+        return "Invalid selection or directory."
+
+    # Function to update the dropdown with available models
+    def update_dropdowns(search_directory: str) -> Tuple[dict, str]:
+        logging.debug(f"User-entered directory: {search_directory}")  # Debug print for directory
+        if not os.path.isdir(search_directory):
+            logging.debug(f"Directory does not exist: {search_directory}")  # Debug print for non-existing directory
+            return gr.update(choices=[], value=None), "Directory does not exist."
+
+        logging.debug(f"Directory exists: {search_directory}, scanning for files...")  # Confirm directory exists
+        model_files = get_gguf_llamafile_files(search_directory)
+
+        if not model_files:
+            logging.debug(f"No model files found in {search_directory}")  # Debug print for no files found
+            return gr.update(choices=[], value=None), "No model files found in the specified directory."
+
+        # Update the dropdown choices with the model files found
+        logging.debug(f"Models loaded from {search_directory}: {model_files}")  # Debug: Print model files loaded
+        return gr.update(choices=model_files, value=None), f"Models loaded from {search_directory}."
+
+
+
+    def download_preset_model(selected_model: str) -> Tuple[str, str]:
+        """
+        Downloads the selected preset model.
+
+        Args:
+            selected_model (str): The key of the selected preset model.
+
+        Returns:
+            Tuple[str, str]: Status message and the path to the downloaded model.
+        """
+        model_info = llm_models.get(selected_model)
+        if not model_info:
+            return "Invalid model selection.", ""
+
+        try:
+            model_path = download_llm_model(
+                model_name=model_info["name"],
+                model_url=model_info["url"],
+                model_filename=model_info["filename"],
+                model_hash=model_info["hash"]
+            )
+            return f"Model '{model_info['name']}' downloaded successfully.", model_path
+        except Exception as e:
+            logging.error(f"Error downloading model: {e}")
+            return f"Failed to download model: {e}", ""
+
+    with gr.TabItem("Local LLM with Llamafile", visible=True):
+        gr.Markdown("# Settings for Llamafile")
+
+        with gr.Row():
+            with gr.Column():
+                am_noob = gr.Checkbox(label="Enable Sane Defaults", value=False, visible=True)
+                advanced_mode_toggle = gr.Checkbox(label="Advanced Mode - Show All Settings", value=False)
+                # Advanced Inputs
+                verbose_checked = gr.Checkbox(label="Enable Verbose Output", value=False, visible=False)
+                threads_checked = gr.Checkbox(label="Set CPU Threads", value=False, visible=False)
+                threads_value = gr.Number(label="Number of CPU Threads", value=None, precision=0, visible=False)
+                threads_batched_checked = gr.Checkbox(label="Enable Batched Inference", value=False, visible=False)
+                threads_batched_value = gr.Number(label="Batch Size for Inference", value=None, precision=0, visible=False)
+                model_alias_checked = gr.Checkbox(label="Set Model Alias", value=False, visible=False)
+                model_alias_value = gr.Textbox(label="Model Alias", value="", visible=False)
+                ctx_size_checked = gr.Checkbox(label="Set Prompt Context Size", value=False, visible=False)
+                ctx_size_value = gr.Number(label="Prompt Context Size", value=8124, precision=0, visible=False)
+                ngl_checked = gr.Checkbox(label="Enable GPU Layers", value=False, visible=True)
+                ngl_value = gr.Number(label="Number of GPU Layers", value=None, precision=0, visible=True)
+                batch_size_checked = gr.Checkbox(label="Set Batch Size", value=False, visible=False)
+                batch_size_value = gr.Number(label="Batch Size", value=512, visible=False)
+                memory_f32_checked = gr.Checkbox(label="Use 32-bit Floating Point", value=False, visible=False)
+                numa_checked = gr.Checkbox(label="Enable NUMA", value=False, visible=False)
+                server_timeout_value = gr.Number(label="Server Timeout", value=600, precision=0, visible=False)
+                host_checked = gr.Checkbox(label="Set IP to Listen On", value=False, visible=False)
+                host_value = gr.Textbox(label="Host IP Address", value="", visible=False)
+                port_checked = gr.Checkbox(label="Set Server Port", value=False, visible=False)
+                port_value = gr.Number(label="Port Number", value=8080, precision=0, visible=False)
+                api_key_checked = gr.Checkbox(label="Set API Key", value=False, visible=False)
+                api_key_value = gr.Textbox(label="API Key", value="", visible=False)
+                http_threads_checked = gr.Checkbox(label="Set HTTP Server Threads", value=False, visible=False)
+                http_threads_value = gr.Number(label="Number of HTTP Server Threads", value=None, precision=0, visible=False)
+                hf_repo_checked = gr.Checkbox(label="Use Huggingface Repo Model", value=False, visible=False)
+                hf_repo_value = gr.Textbox(label="Huggingface Repo Name", value="", visible=False)
+                hf_file_checked = gr.Checkbox(label="Set Huggingface Model File", value=False, visible=False)
+                hf_file_value = gr.Textbox(label="Huggingface Model File", value="", visible=False)
+
+            with gr.Column():
+                # Model Selection Section
+                gr.Markdown("## Model Selection")
+
+                # Option 1: Select from Local Filesystem
+                with gr.Row():
+                    search_directory = gr.Textbox(label="Model Directory",
+                                                  placeholder="Enter directory path(currently '.\Models')",
+                                                  value=".\Models",
+                                                  interactive=True)
+
+                # Initial population of local models
+                initial_dropdown_update, _ = update_dropdowns(".\Models")
+                refresh_button = gr.Button("Refresh Models")
+                local_model_dropdown = gr.Dropdown(label="Select Model from Directory", choices=[])
+                # Display selected model path
+                model_value = gr.Textbox(label="Selected Model File Path", value="", interactive=False)
+
+                # Option 2: Download Preset Models
+                gr.Markdown("## Download Preset Models")
+
+                preset_model_dropdown = gr.Dropdown(
+                    label="Select a Preset Model",
+                    choices=list(llm_models.keys()),
+                    value=None,
+                    interactive=True,
+                    info="Choose a preset model to download."
+                )
+                download_preset_button = gr.Button("Download Selected Preset")
+
+        with gr.Row():
+            with gr.Column():
+                start_button = gr.Button("Start Llamafile")
+                stop_button = gr.Button("Stop Llamafile (doesn't work)")
+                output_display = gr.Markdown()
+
+
+        # Show/hide advanced inputs based on toggle
+        def update_visibility(show_advanced: bool):
+            components = [
+                verbose_checked, threads_checked, threads_value,
+                http_threads_checked, http_threads_value,
+                hf_repo_checked, hf_repo_value,
+                hf_file_checked, hf_file_value,
+                ctx_size_checked, ctx_size_value,
+                ngl_checked, ngl_value,
+                host_checked, host_value,
+                port_checked, port_value
+            ]
+            return [gr.update(visible=show_advanced) for _ in components]
+
+        def on_start_button_click(
+                am_noob: bool,
+                verbose_checked: bool,
+                threads_checked: bool,
+                threads_value: Optional[int],
+                threads_batched_checked: bool,
+                threads_batched_value: Optional[int],
+                model_alias_checked: bool,
+                model_alias_value: str,
+                http_threads_checked: bool,
+                http_threads_value: Optional[int],
+                model_value: str,
+                hf_repo_checked: bool,
+                hf_repo_value: str,
+                hf_file_checked: bool,
+                hf_file_value: str,
+                ctx_size_checked: bool,
+                ctx_size_value: Optional[int],
+                ngl_checked: bool,
+                ngl_value: Optional[int],
+                batch_size_checked: bool,
+                batch_size_value: Optional[int],
+                memory_f32_checked: bool,
+                numa_checked: bool,
+                server_timeout_value: Optional[int],
+                host_checked: bool,
+                host_value: str,
+                port_checked: bool,
+                port_value: Optional[int],
+                api_key_checked: bool,
+                api_key_value: str
+        ) -> str:
+            """
+            Event handler for the Start Llamafile button.
+            """
+            try:
+                result = start_llamafile(
+                    am_noob,
+                    verbose_checked,
+                    threads_checked,
+                    threads_value,
+                    threads_batched_checked,
+                    threads_batched_value,
+                    model_alias_checked,
+                    model_alias_value,
+                    http_threads_checked,
+                    http_threads_value,
+                    model_value,
+                    hf_repo_checked,
+                    hf_repo_value,
+                    hf_file_checked,
+                    hf_file_value,
+                    ctx_size_checked,
+                    ctx_size_value,
+                    ngl_checked,
+                    ngl_value,
+                    batch_size_checked,
+                    batch_size_value,
+                    memory_f32_checked,
+                    numa_checked,
+                    server_timeout_value,
+                    host_checked,
+                    host_value,
+                    port_checked,
+                    port_value,
+                    api_key_checked,
+                    api_key_value
+                )
+                return result
+            except Exception as e:
+                logging.error(f"Error starting Llamafile: {e}")
+                return f"Failed to start Llamafile: {e}"
+
+        advanced_mode_toggle.change(
+            fn=update_visibility,
+            inputs=[advanced_mode_toggle],
+            outputs=[
+                verbose_checked, threads_checked, threads_value,
+                http_threads_checked, http_threads_value,
+                hf_repo_checked, hf_repo_value,
+                hf_file_checked, hf_file_value,
+                ctx_size_checked, ctx_size_value,
+                ngl_checked, ngl_value,
+                host_checked, host_value,
+                port_checked, port_value
+            ]
+        )
+
+        start_button.click(
+            fn=on_start_button_click,
+            inputs=[
+                am_noob,
+                verbose_checked,
+                threads_checked,
+                threads_value,
+                threads_batched_checked,
+                threads_batched_value,
+                model_alias_checked,
+                model_alias_value,
+                http_threads_checked,
+                http_threads_value,
+                model_value,
+                hf_repo_checked,
+                hf_repo_value,
+                hf_file_checked,
+                hf_file_value,
+                ctx_size_checked,
+                ctx_size_value,
+                ngl_checked,
+                ngl_value,
+                batch_size_checked,
+                batch_size_value,
+                memory_f32_checked,
+                numa_checked,
+                server_timeout_value,
+                host_checked,
+                host_value,
+                port_checked,
+                port_value,
+                api_key_checked,
+                api_key_value
+            ],
+            outputs=output_display
+        )
+
+        download_preset_button.click(
+            fn=download_preset_model,
+            inputs=[preset_model_dropdown],
+            outputs=[output_display, model_value]
+        )
+
+        # Click event for refreshing models
+        refresh_button.click(
+            fn=update_dropdowns,
+            inputs=[search_directory],  # Ensure that the directory path (string) is passed
+            outputs=[local_model_dropdown, output_display]  # Update dropdown and status
+        )
+
+        # Event to update model_value when a model is selected from the dropdown
+        local_model_dropdown.change(
+            fn=on_local_model_change,  # Function that calculates the model path
+            inputs=[local_model_dropdown, search_directory],  # Inputs: selected model and directory
+            outputs=[model_value]  # Output: Update the model_value textbox with the selected model path
+        )
+
+#
+#
+#######################################################################################################################

App_Function_Libraries/Gradio_UI/MMLU_Pro_tab.py

@@ -78,7 +78,7 @@ def run_benchmark_from_ui(url, api_key, model, timeout, category, parallel, verb
 
 def create_mmlu_pro_tab():
     """Create the Gradio UI tab for MMLU-Pro Benchmark."""
-    with gr.Tab("MMLU-Pro Benchmark"):
+    with gr.TabItem("MMLU-Pro Benchmark", visible=True):
         gr.Markdown("## Run MMLU-Pro Benchmark")
 
         with gr.Row():

App_Function_Libraries/Gradio_UI/Media_edit.py

@@ -16,7 +16,7 @@ from App_Function_Libraries.DB.SQLite_DB import fetch_item_details
 
 
 def create_media_edit_tab():
-    with gr.TabItem("Edit Existing Items"):
+    with gr.TabItem("Edit Existing Items", visible=True):
         gr.Markdown("# Search and Edit Media Items")
 
         with gr.Row():
@@ -89,7 +89,7 @@ def create_media_edit_tab():
 
 
 def create_media_edit_and_clone_tab():
-    with gr.TabItem("Clone and Edit Existing Items"):
+    with gr.TabItem("Clone and Edit Existing Items", visible=True):
         gr.Markdown("# Search, Edit, and Clone Existing Items")
 
         with gr.Row():
@@ -199,7 +199,7 @@ def create_media_edit_and_clone_tab():
 
 
 def create_prompt_edit_tab():
-    with gr.TabItem("Add & Edit Prompts"):
+    with gr.TabItem("Add & Edit Prompts", visible=True):
         with gr.Row():
             with gr.Column():
                 prompt_dropdown = gr.Dropdown(
@@ -239,7 +239,7 @@ def create_prompt_edit_tab():
 
 
 def create_prompt_clone_tab():
-    with gr.TabItem("Clone and Edit Prompts"):
+    with gr.TabItem("Clone and Edit Prompts", visible=True):
         with gr.Row():
             with gr.Column():
                 gr.Markdown("# Clone and Edit Prompts")

App_Function_Libraries/Gradio_UI/Media_wiki_tab.py

@@ -229,7 +229,7 @@ def save_config(updated_config):
 
 
 def create_mediawiki_config_tab():
-    with gr.TabItem("MediaWiki Import Configuration"):
+    with gr.TabItem("MediaWiki Import Configuration", visible=True):
         gr.Markdown("# MediaWiki Import Configuration (Broken currently/doesn't work)")
         with gr.Row():
             with gr.Column():

App_Function_Libraries/Gradio_UI/PDF_ingestion_tab.py

@@ -21,7 +21,7 @@ from App_Function_Libraries.PDF.PDF_Ingestion_Lib import extract_metadata_from_p
 # Functions:
 
 def create_pdf_ingestion_tab():
-    with gr.TabItem("PDF Ingestion"):
+    with gr.TabItem("PDF Ingestion", visible=True):
         # TODO - Add functionality to extract metadata from pdf as part of conversion process in marker
         gr.Markdown("# Ingest PDF Files and Extract Metadata")
         with gr.Row():
@@ -136,7 +136,7 @@ def test_pdf_ingestion(pdf_file):
         return f"Error ingesting PDF: {str(e)}", ""
 
 def create_pdf_ingestion_test_tab():
-    with gr.TabItem("Test PDF Ingestion"):
+    with gr.TabItem("Test PDF Ingestion", visible=True):
         with gr.Row():
             with gr.Column():
                 pdf_file_input = gr.File(label="Upload PDF for testing")

App_Function_Libraries/Gradio_UI/Plaintext_tab_import.py

@@ -23,7 +23,7 @@ from App_Function_Libraries.Gradio_UI.Import_Functionality import import_data
 # Functions:
 
 def create_plain_text_import_tab():
-    with gr.TabItem("Import Plain text & .docx Files"):
+    with gr.TabItem("Import Plain text & .docx Files", visible=True):
         with gr.Row():
             with gr.Column():
                 gr.Markdown("# Import Markdown(`.md`)/Text(`.txt`)/rtf & `.docx` Files")

App_Function_Libraries/Gradio_UI/Podcast_tab.py

@@ -17,8 +17,8 @@ from App_Function_Libraries.Gradio_UI.Gradio_Shared import whisper_models, updat
 
 
 def create_podcast_tab():
-    with gr.TabItem("Podcast"):
-        gr.Markdown("# Podcast Transcription and Ingestion")
+    with gr.TabItem("Podcast", visible=True):
+        gr.Markdown("# Podcast Transcription and Ingestion", visible=True)
         with gr.Row():
             with gr.Column():
                 podcast_url_input = gr.Textbox(label="Podcast URL", placeholder="Enter the podcast URL here")

App_Function_Libraries/Gradio_UI/Prompt_Suggestion_tab.py

@@ -18,7 +18,7 @@ from App_Function_Libraries.Prompt_Engineering.Prompt_Engineering import generat
 
 # Gradio tab for prompt suggestion and testing
 def create_prompt_suggestion_tab():
-    with gr.TabItem("Prompt Suggestion/Creation"):
+    with gr.TabItem("Prompt Suggestion/Creation", visible=True):
         gr.Markdown("# Generate and Test AI Prompts with the Metaprompt Approach")
 
         with gr.Row():

App_Function_Libraries/Gradio_UI/RAG_Chat_tab.py

@@ -16,7 +16,7 @@ from App_Function_Libraries.RAG.RAG_Library_2 import enhanced_rag_pipeline
 # Functions:
 
 def create_rag_tab():
-    with gr.TabItem("RAG Search"):
+    with gr.TabItem("RAG Search", visible=True):
         gr.Markdown("# Retrieval-Augmented Generation (RAG) Search")
 
         with gr.Row():

App_Function_Libraries/Gradio_UI/RAG_QA_Chat_Notes.py

@@ -16,7 +16,7 @@ from App_Function_Libraries.RAG.RAG_QA_Chat import rag_qa_chat
 #
 # Functions
 def create_rag_qa_chat_notes_tab():
-    with gr.TabItem("RAG QA Chat"):
+    with gr.TabItem("RAG QA Chat", visible=True):
         gr.Markdown("# RAG QA Chat")
 
         state = gr.State({

App_Function_Libraries/Gradio_UI/RAG_QA_Chat_tab.py

@@ -25,7 +25,7 @@ from App_Function_Libraries.RAG.RAG_QA_Chat import load_chat_history, save_chat_
 # Functions:
 
 def create_rag_qa_chat_tab():
-    with gr.TabItem("RAG QA Chat"):
+    with gr.TabItem("RAG QA Chat", visible=True):
         gr.Markdown("# RAG QA Chat")
 
         with gr.Row():

App_Function_Libraries/Gradio_UI/Re_summarize_tab.py

@@ -23,7 +23,7 @@ from App_Function_Libraries.Utils.Utils import load_comprehensive_config
 # Functions:
 
 def create_resummary_tab():
-    with gr.TabItem("Re-Summarize"):
+    with gr.TabItem("Re-Summarize", visible=True):
         gr.Markdown("# Re-Summarize Existing Content")
         with gr.Row():
             with gr.Column():

App_Function_Libraries/Gradio_UI/Search_Tab.py

@@ -80,7 +80,7 @@ def format_as_html(content, title):
     """
 
 def create_search_tab():
-    with gr.TabItem("Search / Detailed View"):
+    with gr.TabItem("Search / Detailed View", visible=True):
         gr.Markdown("# Search across all ingested items in the Database")
         with gr.Row():
             with gr.Column(scale=1):
@@ -150,7 +150,7 @@ def display_search_results(query):
 
 
 def create_search_summaries_tab():
-    with gr.TabItem("Search/View Title+Summary "):
+    with gr.TabItem("Search/View Title+Summary", visible=True):
         gr.Markdown("# Search across all ingested items in the Database and review their summaries")
         gr.Markdown("Search by Title / URL / Keyword / or Content via SQLite Full-Text-Search")
         with gr.Row():
@@ -207,7 +207,7 @@ def create_search_summaries_tab():
 
 
 def create_prompt_search_tab():
-    with gr.TabItem("Search Prompts"):
+    with gr.TabItem("Search Prompts", visible=True):
         gr.Markdown("# Search and View Prompt Details")
         gr.Markdown("Currently has all of the https://github.com/danielmiessler/fabric prompts already available")
         with gr.Row():

App_Function_Libraries/Gradio_UI/Transcript_comparison.py

@@ -46,7 +46,7 @@ def compare_transcripts(media_id, transcript1_id, transcript2_id):
 
 
 def create_compare_transcripts_tab():
-    with gr.TabItem("Compare Transcripts"):
+    with gr.TabItem("Compare Transcripts", visible=True):
         gr.Markdown("# Compare Transcripts")
 
         with gr.Row():

App_Function_Libraries/Gradio_UI/Trash.py

@@ -69,7 +69,7 @@ def mark_item_as_trash(media_id: int) -> str:
 
 
 def create_search_and_mark_trash_tab():
-    with gr.TabItem("Search and Mark as Trash"):
+    with gr.TabItem("Search and Mark as Trash", visible=True):
         gr.Markdown("# Search for Items and Mark as Trash")
 
         search_input = gr.Textbox(label="Search Query")
@@ -105,14 +105,14 @@ def create_search_and_mark_trash_tab():
 
 
 def create_view_trash_tab():
-    with gr.TabItem("View Trash"):
+    with gr.TabItem("View Trash", visible=True):
         view_button = gr.Button("View Trash")
         trash_list = gr.Textbox(label="Trashed Items")
         view_button.click(list_trash, inputs=[], outputs=trash_list)
 
 
 def create_delete_trash_tab():
-    with gr.TabItem("Delete DB Item"):
+    with gr.TabItem("Delete DB Item", visible=True):
         gr.Markdown("# Delete Items from Databases")
 
         media_id_input = gr.Number(label="Media ID")
@@ -128,7 +128,7 @@ def create_delete_trash_tab():
 
 
 def create_empty_trash_tab():
-    with gr.TabItem("Empty Trash"):
+    with gr.TabItem("Empty Trash", visible=True):
         days_input = gr.Slider(minimum=15, maximum=90, step=5, label="Delete items older than (days)")
         empty_button = gr.Button("Empty Trash")
         empty_output = gr.Textbox(label="Result")

App_Function_Libraries/Gradio_UI/Utilities.py

@@ -10,7 +10,7 @@ from App_Function_Libraries.Utils.Utils import sanitize_filename, downloaded_fil
 
 
 def create_utilities_yt_video_tab():
-    with gr.Tab("YouTube Video Downloader", id='youtube_dl'):
+    with gr.TabItem("YouTube Video Downloader", id='youtube_dl', visible=True):
         with gr.Row():
             with gr.Column():
                 gr.Markdown(
@@ -28,7 +28,7 @@ def create_utilities_yt_video_tab():
         )
 
 def create_utilities_yt_audio_tab():
-    with gr.Tab("YouTube Audio Downloader", id="youtube audio downloader"):
+    with gr.TabItem("YouTube Audio Downloader", id="youtube audio downloader", visible=True):
         with gr.Row():
             with gr.Column():
                 gr.Markdown(
@@ -48,7 +48,7 @@ def create_utilities_yt_audio_tab():
         )
 
 def create_utilities_yt_timestamp_tab():
-    with gr.Tab("YouTube Timestamp URL Generator", id="timestamp-gen"):
+    with gr.TabItem("YouTube Timestamp URL Generator", id="timestamp-gen", visible=True):
         gr.Markdown("## Generate YouTube URL with Timestamp")
         with gr.Row():
             with gr.Column():

App_Function_Libraries/Gradio_UI/Video_transcription_tab.py

@@ -32,7 +32,7 @@ from App_Function_Libraries.Metrics.metrics_logger import log_counter, log_histo
 # Functions:
 
 def create_video_transcription_tab():
-    with ((gr.TabItem("Video Transcription + Summarization"))):
+    with gr.TabItem("Video Transcription + Summarization", visible=True):
         gr.Markdown("# Transcribe & Summarize Videos from URLs")
         with gr.Row():
             gr.Markdown("""Follow this project at [tldw - GitHub](https://github.com/rmusser01/tldw)""")

App_Function_Libraries/Gradio_UI/View_DB_Items_tab.py

@@ -18,7 +18,7 @@ from App_Function_Libraries.DB.SQLite_DB import get_document_version
 # Functions
 
 def create_prompt_view_tab():
-    with gr.TabItem("View Prompt Database"):
+    with gr.TabItem("View Prompt Database", visible=True):
         gr.Markdown("# View Prompt Database Entries")
         with gr.Row():
             with gr.Column():
@@ -150,7 +150,7 @@ def extract_prompt_and_summary(content: str):
 
 
 def create_view_all_with_versions_tab():
-    with gr.TabItem("View All Items"):
+    with gr.TabItem("View All Items", visible=True):
         gr.Markdown("# View All Database Entries with Version Selection")
         with gr.Row():
             with gr.Column(scale=1):
@@ -281,7 +281,7 @@ def create_view_all_with_versions_tab():
 
 
 def create_viewing_tab():
-    with gr.TabItem("View Database Entries"):
+    with gr.TabItem("View Database Entries", visible=True):
         gr.Markdown("# View Database Entries")
         with gr.Row():
             with gr.Column():

App_Function_Libraries/Gradio_UI/View_tab.py

@@ -22,7 +22,7 @@ from App_Function_Libraries.DB.DB_Manager import (
 
 # FIXME - Doesn't work. also need ot merge this tab wtih Edit Existing Items tab....
 def create_manage_items_tab():
-    with gr.TabItem("Edit/Manage DB Items"):
+    with gr.TabItem("Edit/Manage DB Items", visible=True):
         search_input = gr.Textbox(label="Search for Media (title or ID)")
         search_button = gr.Button("Search")
         media_selector = gr.Dropdown(label="Select Media", choices=[], interactive=True)

App_Function_Libraries/Gradio_UI/Website_scraping_tab.py

@@ -249,7 +249,7 @@ async def scrape_with_retry(url: str, max_retries: int = 3, retry_delay: float =
 
 
 def create_website_scraping_tab():
-    with gr.TabItem("Website Scraping"):
+    with gr.TabItem("Website Scraping", visible=True):
         gr.Markdown("# Scrape Websites & Summarize Articles")
         with gr.Row():
             with gr.Column():

App_Function_Libraries/Gradio_UI/Writing_tab.py

@@ -41,7 +41,7 @@ def grammar_style_check(input_text, custom_prompt, api_name, api_key, system_pro
 
 
 def create_grammar_style_check_tab():
-    with gr.TabItem("Grammar and Style Check"):
+    with gr.TabItem("Grammar and Style Check", visible=True):
         with gr.Row():
             with gr.Column():
                 gr.Markdown("# Grammar and Style Check")
@@ -98,7 +98,7 @@ def create_grammar_style_check_tab():
 
 
 def create_tone_adjustment_tab():
-    with gr.TabItem("Tone Analyzer & Editor"):
+    with gr.TabItem("Tone Analyzer & Editor", visible=True):
         with gr.Row():
             with gr.Column():
                 input_text = gr.Textbox(label="Input Text", lines=10)
@@ -174,7 +174,7 @@ def generate_feedback_history_html(history):
 
 # FIXME
 def create_document_feedback_tab():
-    with gr.TabItem("Writing Feedback"):
+    with gr.TabItem("Writing Feedback", visible=True):
         with gr.Row():
             with gr.Column(scale=2):
                 input_text = gr.Textbox(label="Your Writing", lines=10)
@@ -364,13 +364,13 @@ def create_document_feedback_tab():
 
 
 def create_creative_writing_tab():
-    with gr.TabItem("Creative Writing Assistant"):
+    with gr.TabItem("Creative Writing Assistant", visible=True):
         gr.Markdown("# Utility to be added...")
 
 
 
 def create_mikupad_tab():
-    with gr.TabItem("Mikupad"):
+    with gr.TabItem("Mikupad", visible=True):
         gr.Markdown("I Wish. Gradio won't embed it successfully...")
 
 #