Update requirements.txt

requirements.txt

@@ -1,50 +1,5 @@
-# Critical PyTorch dependencies must come first
-torch==2.6.0
-torchvision==0.21.0
-
-# Common
-einops                  # Tensor operations
-
-# Training
-omegaconf                # Configuration system.
-lpips                   # LPIPS model for VAE training
-
-# Dataloading
-bson                # bson for Image dataloading
-tensorflow           # Video dataloading
-opencv-python         # OpenCV
-sentencepiece          # For Text Encoder
-
-# Modeling
-diffusers              # Diffusers
-rotary-embedding-torch   # Rotary positional embedding
-transformers         # Transformers
-tiktoken               # Tiktoken for generation
-transformers_stream_generator #LLM generation support
-
-# Metrics
-torchmetrics           # Core module for metric
-pycocotools           # COCO-related
-torch-fidelity           # FID-related
-
-# Experiment Tracking
-moviepy                # WandB Logging Image & Video
-imageio                # WandB Logging Image & Video
-tabulate               # Logging Table
-deepdiff               # Find difference of config
-
-# Testing
-parameterized          # Define multiple tests through decorators.
-
-# Notebook
-mediapy               # Notebook Visualization
-
-# DevOPs
-black           # Code formatting
-flake8                # Code style
-isort                 # Import sorting
-pre-commit              # Pre-commit hooks
-expecttest             # Pytorch dist tests
-hypothesis           # Fix randomness
-av                   # Process audio and video
-https://github.com/Dao-AILab/flash-attention/releases/download/v2.7.4.post1/flash_attn-2.7.4.post1+cu12torch2.6cxx11abiFALSE-cp310-cp310-linux_x86_64.whl
+# Dependências básicas. O resto será instalado via conda no app.py
+gradio
+einops
+omegaconf
+mediapy