FastAPI-Backend-Models / requirements.txt
Yassine Mhirsi
feat: Add topic similarity service using Google Generative AI embeddings, enabling improved topic matching and similarity analysis. Update topic extraction logic to utilize this service and enhance overall functionality.
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fastapi>=0.115.0
uvicorn[standard]>=0.29.0
python-multipart>=0.0.6
python-dotenv>=1.0.0
pydantic>=2.5.0
# API Clients
requests>=2.31.0
groq>=0.9.0
supabase>=2.0.0
google-genai>=0.2.0
# LangChain
langchain>=0.1.0
langchain-core>=0.1.0
langchain-groq>=0.1.0
langsmith>=0.1.0
# Audio processing (optionnel si vous avez besoin de traitement local)
soundfile>=0.12.1
# Hugging Face
transformers>=4.35.0
torch>=2.0.1
# Autres dépendances
numpy>=1.26.4
scikit-learn>=1.3.0
mcp>=1.0.0
# Note: fastapi-mcp peut ne pas exister officiellement,
# vous devrez probablement créer votre propre intégration
# generation-model
protobuf>=3.20.1,<4.0.0
transformers[sentencepiece]
sentencepiece
accelerate
datasets
evaluate
rouge-score
bert-score