fix: restore HF Space config in README

Author: Dreipfelt

README.md

@@ -1,81 +1,15 @@
-# 🏴‍☠️ Oasis Security – Crime Predictor
-
-[![CI/CD](https://github.com/Data-Science-Designer-and-Developer/oasis-security/actions/workflows/ci-cd.yml/badge.svg)](https://github.com/Data-Science-Designer-and-Developer/oasis-security/actions)
-[![Docker](https://img.shields.io/badge/Docker-GHCR-blue)](https://ghcr.io/Data-Science-Designer-and-Developer)
-[![Model](https://img.shields.io/badge/R²-0.806-brightgreen)](https://github.com/Data-Science-Designer-and-Developer/oasis-security/blob/main/models/crime_predictor/models/crime_predictor.pkl)
-
-A predictive model for crime rates in France (per 100,000 inhabitants), fully structured for production use.  
-This repository demonstrates a **ML project with clear structure, documentation, modeling pipeline, and deployment readiness**.
----
-
-## 🚀 Project Objectives
-
-- Build a reliable predictive model using official French crime data (from data.gouv.fr).
-- Establish a **clean, reproducible MLOps pipeline**:
-  - Clear folder structure (`data/`, `notebooks/`, `models/`, etc.)
-  - Serialized model for reuse
-  - Training & inference scripts
-  - Integrated CI/CD workflows
-
 ---
-
-## 📁 Repository Structure
-
-oasis-security/  
-├── .github/ # GitHub workflows (CI/CD)  
-├── data/ # Processed data files  
-├── docs/ # Documentation & dashboards  
-├── images/ # Visual assets & plots  
-├── models/  
-│ └── crime_predictor/  
-│ ├── src/ # Source code for model  
-│ ├── models/ # Serialized model (.pkl)  
-│ ├── mlruns/ # MLflow tracking data  
-│ ├── tests/ # Unit tests (optional)  
-│ └── requirements.txt # Dependencies for this model  
-├── notebooks/ # Exploration & analysis notebooks  
-├── pipeline/ # Scripts for automation  
-├── Dockerfile # Docker configuration  
-├── LICENSE # License  
-└── README.md # Project overview  
-
-
+title: Oasis Security
+emoji: 🚨
+colorFrom: red
+colorTo: blue
+sdk: streamlit
+sdk_version: "1.41.0"
+python_version: "3.10"
+app_file: files/Delinquance.py
+pinned: false
 ---
 
-## 📊 Usage
-
-1. Create & activate a virtual environment:
-python3 -m venv .venv
-source .venv/bin/activate
-
-
-2. Install dependencies:
-pip install -r models/crime_predictor/requirements.txt
-
-3. Run training: 
-python models/crime_predictor/src/train.py
-
-4. Start prediction API:
-python models/crime_predictor/src/predict.py
-
-
-📝 Contribution & CI/CD
-
-This project is designed to be production ready with GitHub Actions workflows (tests & model builds).
-Contributions welcome 🌟
-
-🛠️ Tech Stack
-
-Core: Python 3.13, scikit-learn, joblib
-Future: FastAPI, MLflow, Docker, GitHub Actions
-Data: data.gouv.fr (police/gendarmerie 2016-2025)
-
-📜 License
-
-MIT License
-
-📝 Author
+# Oasis Security — Crime & Delinquency in France
 
-Frédéric Tellier – Data Scientist
-LinkedIn : https://www.linkedin.com/in/fr%C3%A9d%C3%A9ric-tellier-8a9170283/   
-| Portfolio : https://github.com/Dreipfelt/  
+Analysis of crime and delinquency data from Police Nationale and Gendarmerie Nationale (2012-2021), with predictions up to 2030 using Prophet, XGBoost, and LightGBM.