fix: Add missing requirements-distilled.txt

requirements-distilled.txt

@@ -0,0 +1,51 @@
+# SysCRED - Optimized Requirements with Distilled Models
+# Système Hybride de Vérification de Crédibilité
+# (c) Dominique S. Loyer
+#
+# This version uses DISTILLED models for faster loading and lower memory:
+# - DistilBERT instead of BERT (~60% smaller, 40% faster)
+# - MiniLM for sentence embeddings (~5x smaller than all-mpnet)
+# - Optimized for HuggingFace Spaces (16GB RAM limit)
+
+# === Core Dependencies ===
+requests>=2.28.0
+beautifulsoup4>=4.11.0
+python-whois>=0.8.0
+
+# === RDF/Ontology ===
+rdflib>=6.0.0
+
+# === Machine Learning (Distilled/Optimized) ===
+# Using CPU-only torch for smaller footprint
+--extra-index-url https://download.pytorch.org/whl/cpu
+torch>=2.0.0
+
+# Transformers with minimal dependencies
+transformers>=4.30.0
+
+# Distilled sentence transformer (5x smaller than full models)
+sentence-transformers>=2.2.0
+
+# Data processing
+numpy>=1.24.0
+pandas>=2.0.0
+
+# === Explainability ===
+lime>=0.2.0
+
+# === NLP for NER (French + English) ===
+spacy>=3.5.0
+# Note: Download models in Dockerfile with:
+# python -m spacy download fr_core_news_sm
+# python -m spacy download en_core_web_sm
+
+# === Web Backend ===
+flask>=2.3.0
+flask-cors>=4.0.0
+python-dotenv>=1.0.0
+
+# === Production ===
+gunicorn>=20.1.0
+
+# === Development/Testing ===
+pytest>=7.0.0