Fix README config
Browse files
README.md
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@@ -1,410 +1,10 @@
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---
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# Structure du projet
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```
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sentiment_project/
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├── app.py ← Backend (serveur Flask)
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├── requirements.txt ← Dépendances Python
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├── Procfile ← Configuration pour le déploiement (Render / Railway)
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├── .env.example ← Exemple de variables d’environnement
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├── .gitignore ← Fichiers ignorés par Git
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├── README.md ← Documentation du projet
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└── templates/
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└── index.html ← Interface utilisateur
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```
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---
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# Installation et exécution locale
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## 1 Cloner le projet
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```
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git clone https://github.com/username/sentiment-analyzer.git
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cd sentiment-analyzer
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```
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---
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## 2 Créer un environnement virtuel
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```
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python -m venv venv
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```
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Activation :
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Mac / Linux
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```
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source venv/bin/activate
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```
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Windows
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```
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venv\Scripts\activate
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```
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---
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## 3 Installer les dépendances
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```
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pip install -r requirements.txt
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## Lancer le serveur
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```
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python app.py
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```
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Puis ouvrir dans le navigateur :
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```
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http://localhost:5000
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```
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---
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# ☁️ Déploiement sur Render (gratuit)
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## Publier sur GitHub
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```
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git init
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git add .
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git commit -m "Initial commit"
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git remote add origin https://github.com/username/sentiment-analyzer.git
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git push -u origin main
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```
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⚠️ Vérifiez que le fichier `.env` n’est pas publié sur GitHub.
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---
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## Créer un compte Render
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Accéder à :
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https://render.com
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Puis se connecter avec GitHub.
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---
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## Créer un Web Service
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Configuration :
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| Paramètre | Valeur |
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| ------------- | ------------------------------- |
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| Build Command | pip install -r requirements.txt |
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| Start Command | gunicorn app:app |
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| Environment | Python |
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---
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## Ajouter les variables d’environnement
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Dans **Environment Variables** :
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```
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ANTHROPIC_API_KEY = sk-ant-api03-XXXXXXXXXXXXXXXXXXXXXXXX
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```
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---
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## Déployer
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Render générera une URL publique comme :
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```
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https://sentiment-analyzer.onrender.com
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```
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---
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# Sécurité de la clé API
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| Bonne pratique | À éviter |
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| ------------------------- | -------------------------------------- |
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| Utiliser `.env` | Mettre la clé directement dans le code |
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| Variables d’environnement | Stocker la clé dans HTML |
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| Backend sécurisé | Publier la clé sur GitHub |
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---
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# Technologies utilisées
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Backend
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* Python
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* Flask
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* Anthropic SDK
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Frontend
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* HTML
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* CSS
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* JavaScript
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Intelligence artificielle
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* Claude AI (Modèle : claude-sonnet-4)
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Déploiement
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* Render
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* Railway
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* Heroku
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Domaine
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* Natural Language Processing (NLP)
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* Analyse de sentiments multilingue
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---
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# API Endpoints
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| Méthode | Route | Description |
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| ------- | ------------ | ----------------------- |
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| GET | / | Page principale |
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| POST | /api/analyze | Analyse du sentiment |
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| GET | /api/health | Vérification du serveur |
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---
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## Exemple d’appel API
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```
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curl -X POST http://localhost:5000/api/analyze \
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-H "Content-Type: application/json" \
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-d '{"text": "Le produit est excellent!", "text_lang": "fr", "response_lang": "French"}'
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```
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---
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Développeur
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Projet réalisé dans le cadre de l’apprentissage de :
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-
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* Data Science
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* Natural Language Processing (NLP)
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* Intelligence Artificielle
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Développé par :
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**Youness Mchaar**
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Étudiant en Génie Informatique & Data Science
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=======
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# Analyseur de Sentiments | Sentiment Analyzer
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Application web permettant **d’analyser le sentiment de textes dans plus de 20 langues **Flask**.
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Ce projet a été réalisé dans le cadre de l’apprentissage du **Traitement Automatique du Langage Naturel (NLP)** et de l’**Intelligence Artificielle appliquée à l’analyse de texte**.
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---
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# Structure du projet
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```
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sentiment_project/
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├── app.py ← Backend (serveur Flask)
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├── requirements.txt ← Dépendances Python
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| 225 |
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├── Procfile ← Configuration pour le déploiement (Render / Railway)
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├── .env.example ← Exemple de variables d’environnement
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├── .gitignore ← Fichiers ignorés par Git
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├── README.md ← Documentation du projet
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└── templates/
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└── index.html ← Interface utilisateur
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```
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-
---
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-
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| 235 |
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# Installation et exécution locale
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| 236 |
-
|
| 237 |
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## 1 Cloner le projet
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| 238 |
-
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| 239 |
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```
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git clone https://github.com/username/sentiment-analyzer.git
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cd sentiment-analyzer
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```
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---
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#
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```
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python -m venv venv
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```
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-
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Activation :
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-
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Mac / Linux
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-
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```
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source venv/bin/activate
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-
```
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-
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Windows
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-
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```
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venv\Scripts\activate
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```
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-
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-
---
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| 268 |
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## 3 Installer les dépendances
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```
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pip install -r requirements.txt
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| 272 |
-
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| 273 |
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## Lancer le serveur
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| 274 |
-
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```
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| 276 |
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python app.py
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```
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| 278 |
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Puis ouvrir dans le navigateur :
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-
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```
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http://localhost:5000
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-
```
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| 284 |
-
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| 285 |
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---
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-
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| 287 |
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# Déploiement sur Render (gratuit)
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| 288 |
-
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| 289 |
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## Publier sur GitHub
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-
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```
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git init
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git add .
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git commit -m "Initial commit"
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git remote add origin https://github.com/username/sentiment-analyzer.git
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git push -u origin main
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```
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Vérifiez que le fichier `.env` n’est pas publié sur GitHub.
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---
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-
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## Créer un compte Render
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| 304 |
-
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Accéder à :
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| 306 |
-
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https://render.com
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-
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Puis se connecter avec GitHub.
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| 310 |
-
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-
---
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-
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## Créer un Web Service
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| 314 |
-
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Configuration :
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| 316 |
-
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| Paramètre | Valeur |
|
| 318 |
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| ------------- | ------------------------------- |
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| Build Command | pip install -r requirements.txt |
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| Start Command | gunicorn app:app |
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| 321 |
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| Environment | Python |
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| 322 |
-
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---
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-
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## Déployer
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| 327 |
-
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Render générera une URL publique comme :
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| 329 |
-
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```
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https://sentiment-analyzer.onrender.com
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| 332 |
-
```
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| 333 |
-
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| 334 |
-
---
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| 335 |
-
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| 336 |
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# Sécurité de la clé API
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| 337 |
-
|
| 338 |
-
| Bonne pratique | À éviter |
|
| 339 |
-
| ------------------------- | -------------------------------------- |
|
| 340 |
-
| Utiliser `.env` | Mettre la clé directement dans le code |
|
| 341 |
-
| Variables d’environnement | Stocker la clé dans HTML |
|
| 342 |
-
| Backend sécurisé | Publier la clé sur GitHub |
|
| 343 |
-
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| 344 |
-
---
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| 345 |
-
|
| 346 |
-
# Technologies utilisées
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| 347 |
-
|
| 348 |
-
Backend
|
| 349 |
-
|
| 350 |
-
* Python
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| 351 |
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* Flask
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| 352 |
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* Anthropic SDK
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| 353 |
-
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| 354 |
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Frontend
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| 355 |
-
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| 356 |
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* HTML
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| 357 |
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* CSS
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| 358 |
-
* JavaScript
|
| 359 |
-
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| 360 |
-
Intelligence artificielle
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| 361 |
-
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| 362 |
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* Claude AI (Modèle : claude-sonnet-4)
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| 363 |
-
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| 364 |
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Déploiement
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| 365 |
-
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| 366 |
-
* Render
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| 367 |
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* Railway
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| 368 |
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* Heroku
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| 369 |
-
|
| 370 |
-
Domaine
|
| 371 |
-
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| 372 |
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* Natural Language Processing (NLP)
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| 373 |
-
* Analyse de sentiments multilingue
|
| 374 |
-
|
| 375 |
-
---
|
| 376 |
-
|
| 377 |
-
# API Endpoints
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| 378 |
-
|
| 379 |
-
| Méthode | Route | Description |
|
| 380 |
-
| ------- | ------------ | ----------------------- |
|
| 381 |
-
| GET | / | Page principale |
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| 382 |
-
| POST | /api/analyze | Analyse du sentiment |
|
| 383 |
-
| GET | /api/health | Vérification du serveur |
|
| 384 |
-
|
| 385 |
-
---
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| 386 |
-
|
| 387 |
-
## Exemple d’appel API
|
| 388 |
-
|
| 389 |
-
```
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| 390 |
-
curl -X POST http://localhost:5000/api/analyze \
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| 391 |
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-H "Content-Type: application/json" \
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| 392 |
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-d '{"text": "Le produit est excellent!", "text_lang": "fr", "response_lang": "French"}'
|
| 393 |
-
```
|
| 394 |
-
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| 395 |
-
---
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| 396 |
-
|
| 397 |
-
Développeur
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| 398 |
-
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| 399 |
-
Projet réalisé dans le cadre de l’apprentissage de :
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| 400 |
-
|
| 401 |
-
* Data Science
|
| 402 |
-
* Natural Language Processing (NLP)
|
| 403 |
-
* Intelligence Artificielle
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| 404 |
-
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| 405 |
-
Développé par :
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| 406 |
-
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| 407 |
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**Youness Mchaar**
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| 408 |
-
Étudiant en Génie Informatique & Data Science
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-
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>>>>>>> dd09b67ca40dbc4a67ac1527c8e0c9e7ea80fba5
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title: Sentiment Analyzer
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+
emoji: 🎭
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colorFrom: purple
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colorTo: pink
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sdk: docker
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pinned: false
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| 7 |
---
|
| 8 |
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| 9 |
+
# Analyseur de Sentiment NLP
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| 10 |
+
Application multilingue d'analyse de sentiment construite avec Flask + Hugging Face.
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