Full-stack feedback management system with sentiment analysis.
# Start all services
docker-compose up -d
# Access the application
# Frontend: http://localhost:8000
# Backend API: http://localhost:5000
Frontend (Demo Mode):
cd frontend
pip install -r requirements_minimal.txt
python app_demo.py
Backend:
cd backend/main_service
pip install -r requirements.txt
python app.py
ML Service:
cd backend/ml_service
pip install -r requirements.txt
python predict.py
Frontend (8000) → Backend (5000) → ML Service (5001)
↓
PostgreSQL (5432)
adminadmin123Full-stack feedback management system with sentiment analysis.
# Start all services
docker-compose up -d
# Access the application
# Frontend: http://localhost:8000
# Backend API: http://localhost:5000
Frontend (Demo Mode):
cd frontend
pip install -r requirements_minimal.txt
python app_demo.py
Backend:
cd backend/main_service
pip install -r requirements.txt
python app.py
ML Service:
cd backend/ml_service
pip install -r requirements.txt
python predict.py
Frontend (8000) → Backend (5000) → ML Service (5001)
↓
PostgreSQL (5432)
adminadmin123