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Update requirements.txt
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requirements.txt
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# 🎨 Gradio Interface
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# ==============================
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gradio>=4.0 # Web UI framework for interactive demos
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Pillow>=10.0.0 # Image
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# ==============================
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# ⚙️ Model Loading & Utilities
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# ==============================
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joblib>=1.3.0 #
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numpy>=1.24.0 # Core numerical
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scipy>=1.10.0 #
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# ==============================
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# 🧠 Machine Learning (
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# ==============================
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# ==============================
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# 🔥 Deep Learning (Flexible)
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# ==============================
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# PyTorch Ecosystem
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torch>=2.1.0 # Deep learning framework
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torchvision>=0.16.0 # Image models, utilities, and datasets
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torchaudio>=2.1.0 # Audio processing with PyTorch
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# Hugging Face Transformers
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transformers>=4.36.0 # State-of-the-art NLP & vision transformer models
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diffusers>=0.21.0 # Stable diffusion for text-to-image generation
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accelerate>=0.24.0 # Hardware-aware training/inference for HF models
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# TensorFlow / Keras (Optional)
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# tensorflow>=2.15.0 # Google’s deep learning framework
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# keras>=2.15.0 # High-level API built on TensorFlow
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# ==============================
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# 🧪 Experiment Tracking / Logging
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# ==============================
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rich>=13.0 # Pretty
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loguru>=0.7.0 #
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tqdm>=4.66.0 #
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# ==============================
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# 📊 Visualization & Debugging
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# ==============================
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matplotlib>=3.8.0 #
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seaborn>=0.13.0 # Statistical
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plotly>=5.18.0 # Interactive
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tensorboard>=2.15.0 # TensorFlow and PyTorch logging dashboard
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# ==============================
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# 🧰 File Management / API Utils
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# ==============================
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python-dotenv>=1.0.0 #
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requests>=2.31.0 # HTTP
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# ==============================
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# 🧼 Code Quality /
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# ==============================
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# black>=24.3.0
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# mypy>=1.8.0
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# 🎨 Gradio Interface
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# ==============================
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gradio>=4.0 # Web UI framework for interactive demos
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Pillow>=10.0.0 # Image support (required by Gradio)
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# ==============================
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# ⚙️ Model Loading & Utilities
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# ==============================
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joblib>=1.3.0 # Serialization for trained ML models
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numpy>=1.24.0 # Core numerical computing
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scipy>=1.10.0 # Scientific computation support
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# ==============================
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# 🧠 Machine Learning (Tree-Based)
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# ==============================
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scikit-learn>=1.3.0 # ML model training, pipelines, preprocessing
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xgboost>=1.7.5 # Advanced gradient boosting model
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lightgbm>=4.1.0 # Lightweight boosting, optimized for speed
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# catboost>=1.2.2 # Optional: GPU-optimized tree model with native categorical support
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# ==============================
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# 🧪 Experiment Tracking / Logging
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# ==============================
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rich>=13.0 # Pretty console output for logs
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loguru>=0.7.0 # Elegant logging for development
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tqdm>=4.66.0 # Loop progress bars
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# ==============================
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# 📊 Visualization & Debugging
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# ==============================
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matplotlib>=3.8.0 # Data and evaluation plots
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seaborn>=0.13.0 # Statistical charts
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plotly>=5.18.0 # Interactive, web-ready visualizations
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# ==============================
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# 🧰 File Management / API Utils
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# ==============================
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python-dotenv>=1.0.0 # .env file handling
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requests>=2.31.0 # HTTP requests (e.g., APIs, model endpoints)
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# ==============================
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# ⚠️ Optional: Deep Learning / Transformers
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# ==============================
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# torch>=2.1.0 # Deep learning framework
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# transformers>=4.36.0 # Hugging Face NLP models
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# accelerate>=0.24.0 # Multi-GPU/TPU acceleration
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# diffusers>=0.21.0 # Stable diffusion for image generation
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# tensorflow>=2.15.0 # TensorFlow support
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# keras>=2.15.0 # High-level API for deep learning
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# ==============================
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# 🧼 Code Quality / Dev Tools (Optional)
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# ==============================
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# black>=24.3.0 # Code formatter
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# mypy>=1.8.0 # Static type checker
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