Render the Home page of the Inspector application.
This page provides an overview of the application's features and architecture.
Source code in view/streamlit_app/page_home.py
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29 | def app():
"""
Render the Home page of the Inspector application.
This page provides an overview of the application's features and architecture.
"""
st.markdown("""
# Inspector
**Inspector** is a Proof of Concept (POC) for a Python-based web application designed to analyze documents.
### Key Features:
- **Insight Extraction**: Leverages large language models (LLMs) for user-driven document analysis.
- **Data Privacy**: Securely handles sensitive data by identifying and masking personal information (e.g., names, document numbers) before transmission to external services.
- **Backend and Frontend Integration**:
- Backend: Powered by **FastAPI**.
- Frontend: Built with **Streamlit**.
- **Tooling**:
- **Redis** as a vector database for efficient data retrieval.
- **Apache Tika** for extracting information from diverse document formats.
- **Advanced AI Techniques**:
- Retrieval-Augmented Generation (**RAG**).
- Advanced prompting strategies like Chain-of-Thought and Tree-of-Thought.
### How It Works:
Inspector combines cutting-edge AI and robust backend systems to deliver secure, insightful document analysis for sensitive domains such as medical records.
""")
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