feat: Sync training infrastructure from main repository

requirements.txt

@@ -1,12 +1,23 @@
-gradio>=4.44.1
+# Core Machine Learning Dependencies
+# PyTorch - Deep learning framework for model training and inference
 torch>=2.0.0
-transformers>=4.30.0
-tokenizers>=0.13.0
-sentencepiece>=0.1.99
-requests>=2.31.0
-tqdm>=4.65.0
-pandas>=2.0.0
-numpy>=1.24.0
-pydantic>=2.0.0
-fastapi>=0.100.0
-uvicorn>=0.22.0
+
+# Hugging Face Ecosystem - Model loading, training, and tokenization
+transformers>=4.30.0      # Pre-trained models and training utilities
+datasets>=2.12.0          # Dataset loading and processing
+tokenizers>=0.13.0        # Fast tokenization library
+sentencepiece>=0.1.99     # SentencePiece tokenization
+huggingface_hub>=0.34.0   # Hugging Face Hub integration
+accelerate>=0.20.0        # Distributed training acceleration
+
+# User Interface - Gradio for web-based training interface
+gradio>=4.0.0             # Web UI framework for ML applications
+
+# Data Processing and Utilities
+numpy>=1.24.0             # Numerical computing library
+pandas>=2.0.0             # Data manipulation and analysis
+tqdm>=4.65.0              # Progress bars for long-running operations
+psutil>=5.9.0             # System and process utilities
+
+# Note: These versions are compatible with Hugging Face Spaces
+# and provide stable training performance