A Python application with a PyQt5 interface that runs a background process (daemon) to connect to a backend server, retrieve messages, process them using local AI via Ollama and Chroma, and then send the responses back to the cloud server.

• ✅ User-friendly GUI built with PyQt5
• 🧵 Background worker thread for continuous processing
• 🤖 Local AI response with Ollama
• 📚 Semantic search with ChromaDB
• ☁️ Integration with a personal backend server
• 🛠️ Editable AI context in real-time from the GUI
• 📝 Live system log viewer

• Python 3.10+
• PyQt5
• Ollama
• ChromaDB
• SQLite (local storage)
• requests / logging
• python-dotenv (.env configuration)

1. Clone the repository:

git clone https://github.com/your-user/chat-processor-gui.git
cd chat-processor-gui

2. Install dependencies:

pip install -r requirements.txt

3. Create a .env file with your configuration:

MESSAGE_FETCH_ENDPOINT=https://your-server.com/api/fetch
IA_RESPONSE_ENDPOINT=https://your-server.com/api/send_response
OLLAMA_HOST=localhost
OLLAMA_PORT=11434

4. Run the app:

python gui.py

1. The GUI lets you start/stop processing.
2. Every 5 seconds, the daemon:
   • Pulls new messages from the server.
   • Processes each message with Chroma + Ollama.
   • Saves the result and status in a local SQLite DB.
   • Sends the final response back to the server.

.
├── gui.py                # PyQt5 Interface
├── processor.py          # Background processing logic
├── db.py                 # SQLite access
├── ai.py                 # Ollama integration
├── config.py             # Environment variable loader
├── context.json          # Editable AI system prompt
├── .env                  # Environment variables
├── requirements.txt
└── logs/app.log

MIT © Edgardo Ponce