DEPLOYMENT.md

🚀 Deploy to Hugging Face Spaces

Target URL: https://huggingface.co/spaces/rishirajpathak/task-management

Quick Deployment Steps

1. Go to: https://huggingface.co/new-space
2. Space name: task-management
3. Owner: rishirajpathak
4. License: MIT
5. SDK: Gradio
6. Hardware: CPU (free tier)

Files to Upload (All Required)

Upload these files from your D:\Task Management folder:

✅ Core System

• app.py - Main Gradio interface
• assignment_engine.py - AI engine
• task_manager.py - System controller
• requirements.txt - Dependencies

✅ Data Files

• users.csv - Team members
• tasks.csv - Task definitions
• results.csv - Completion history
• task_progress.json - Progress tracking

✅ Documentation

• README.md - Space description
• .gitignore - Git ignore rules

⚠️ DO NOT Upload

• .venv/ folder (virtual environment)
• assignment_model.pkl (will be auto-generated)
• Any __pycache__/ folders

After Upload

1. Space will auto-build from requirements.txt
2. App will be available at: https://huggingface.co/spaces/rishirajpathak/task-management
3. First run will create the AI model automatically

Testing the Deployed App

1. Add users and tasks
2. Get AI assignments
3. Update progress
4. Complete tasks
5. Retrain AI - system improves!