Wolfgang AI Digital Visibility Suite

An advanced suite delivering artificial intelligence-driven Search Engine Optimization capabilities, encompassing automated keyword discovery, precision meta-tag construction, streamlined content creation pipelines, and interactive AI conversational modules. It prioritizes user data sovereignty by executing entirely within the local environment via Ollama integration, presented through an intuitive Streamlit graphical interface.

Wolfgang AI Search Engine Optimization Framework (Streamlit + Ollama Local Host)

This robust toolkit leverages generative artificial intelligence to enhance digital discoverability, offering features such as search term identification, optimal metadata scripting, automated long-form content drafting sequences, and a private chat utility—all running completely offline leveraging the Ollama backend.

Application Interface Visualization

Core Functionalities

🔍 Search Term Identification: Produce highly relevant, search-engine-optimized phrases.
📝 Descriptive Snippet Composer: Formulate impeccable HTML title tags and description summaries.
✍️ Narrative Generation Flow: Executes a sequence: Draft $\rightarrow$ Refine Human Readability $\rightarrow$ Polish final asset.
🤖 Intelligent Dialogue Agent: Engage in natural language interaction utilizing your locally hosted Ollama foundation models.
🛠️ Privacy Centric: Operates end-to-end on the user's physical hardware environment with Ollama support.

System Requirements

Executable with Python version 3.9 or newer
Ollama Software must be installed and actively running in the background
Streamlit package installation (pip install streamlit)

Deployment Instructions

Obtain the source code repository: bash git clone https://github.com/khukhusokha/wolf.git cd wolf pip install -r requiurements.txt streamlit run streamlit_app.py