Local AI Text Analysis

Real sentiment analysis using a local transformer model (DistilBERT). No data leaves your computer. Includes a live monitoring dashboard with API call tracking, response times, and searchable history.

Requirements

• Python
• Internet for the first run (downloads the model ~300 MB)

Installation

1. Clone or download the project files.
2. Create and activate a virtual environment:

   python3 -m venv venv
   source venv/bin/activate   # On Windows: venv\Scripts\activate
   

3. Install dependencies:

   pip install flask transformers torch psutil
   

4. Run the app:

   python app.py
   

5. Open your browser at http://127.0.0.1:5000

Project structure

.
├── app.py # Flask backend with /api/analyze, /api/analyses, /status
├── templates/
│ ├── index.html # Main playground + dashboard
│ └── history.html # Searchable history page
├── sentiment.db # SQLite database (auto‑created)
└── README.md