# Pinned for HF Spaces (ZeroGPU). Mirrors the package's runtime deps plus
# Gradio. ZeroGPU images ship Python 3.10 + CUDA 12.1, so a default torch
# wheel is fine here (no Blackwell sm_120 requirement).
torch>=2.2
# transformers 4.55+ changed Qwen2 RoPE so position_embeddings must be passed
# in from the top-level model; our srt/adapter.py drives the decoder layers
# manually and doesn't supply them, which breaks generation. Pin to the
# version we train with on the vast.ai box.
transformers==4.53.3
safetensors>=0.4
huggingface_hub>=0.24
numpy>=1.24
gradio==4.44.1
# Gradio 4.44 calls TemplateResponse with the legacy positional signature;
# Starlette >= 0.40 reordered that and crashes with
# `TypeError: unhashable type: 'dict'` in the jinja2 template cache.
starlette<0.40
spaces>=0.30 ; sys_platform == "linux"