MLOps-Platforms / requirements.txt
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# MLOps Training Platform - Requirements
# =======================================
# Core Web Framework
fastapi==0.104.1
uvicorn[standard]==0.24.0
# Streamlit Frontend
streamlit>=1.28.0
plotly>=5.18.0
# Machine Learning & Deep Learning
torch>=2.0.0
transformers>=4.36.0
tokenizers>=0.15.0
accelerate>=0.25.0
safetensors>=0.4.1
# Data Processing
numpy>=1.24.3
pandas>=2.0.0
scikit-learn>=1.3.0
# Visualization
matplotlib>=3.7.0
seaborn>=0.12.0
# Chinese Language Support
jieba>=0.42.1
# NLP Utilities
pydantic>=2.5.0
# API & Networking
requests>=2.31.0
python-multipart>=0.0.6
# Hugging Face Hub
huggingface-hub>=0.19.4
# Progress Bars
tqdm>=4.66.0
# Protobuf (fix compatibility with transformers)
protobuf<=3.20.3
# Logging & Configuration
python-dotenv>=1.0.0
# Optional: Experiment Tracking
# mlflow>=2.9.0
# Disable TensorFlow dependency (we use PyTorch only)
# tensorflow is not needed for this project