Update requirements.txt

requirements.txt

@@ -1,305 +1,5 @@
-# This file was autogenerated by uv via the following command:
-#    uv pip compile pyproject.toml -o requirements.txt
-accelerate==1.3.0
-    # via
-    #   qwen2-5-bakeneko-32b-instruct-awq (pyproject.toml)
-    #   autoawq
-aiofiles==23.2.1
-    # via gradio
-aiohappyeyeballs==2.4.6
-    # via aiohttp
-aiohttp==3.11.12
-    # via
-    #   datasets
-    #   fsspec
-aiosignal==1.3.2
-    # via aiohttp
-annotated-types==0.7.0
-    # via pydantic
-anyio==4.8.0
-    # via
-    #   gradio
-    #   httpx
-    #   starlette
-async-timeout==5.0.1
-    # via aiohttp
-attrs==25.1.0
-    # via aiohttp
-autoawq==0.2.7.post3
-    # via qwen2-5-bakeneko-32b-instruct-awq (pyproject.toml)
-certifi==2025.1.31
-    # via
-    #   httpcore
-    #   httpx
-    #   requests
-charset-normalizer==3.4.1
-    # via requests
-click==8.1.8
-    # via
-    #   typer
-    #   uvicorn
-datasets==3.3.0
-    # via autoawq
-dill==0.3.8
-    # via
-    #   datasets
-    #   multiprocess
-exceptiongroup==1.2.2
-    # via anyio
-fastapi==0.115.8
-    # via gradio
-ffmpy==0.5.0
-    # via gradio
-filelock==3.17.0
-    # via
-    #   datasets
-    #   huggingface-hub
-    #   torch
-    #   transformers
-    #   triton
-frozenlist==1.5.0
-    # via
-    #   aiohttp
-    #   aiosignal
-fsspec==2024.12.0
-    # via
-    #   datasets
-    #   gradio-client
-    #   huggingface-hub
-    #   torch
-gradio==5.16.0
-    # via
-    #   qwen2-5-bakeneko-32b-instruct-awq (pyproject.toml)
-    #   spaces
-gradio-client==1.7.0
-    # via gradio
-h11==0.14.0
-    # via
-    #   httpcore
-    #   uvicorn
-hf-transfer==0.1.9
-    # via qwen2-5-bakeneko-32b-instruct-awq (pyproject.toml)
-httpcore==1.0.7
-    # via httpx
-httpx==0.28.1
-    # via
-    #   gradio
-    #   gradio-client
-    #   safehttpx
-    #   spaces
-huggingface-hub==0.28.1
-    # via
-    #   accelerate
-    #   autoawq
-    #   datasets
-    #   gradio
-    #   gradio-client
-    #   tokenizers
-    #   transformers
-idna==3.10
-    # via
-    #   anyio
-    #   httpx
-    #   requests
-    #   yarl
-jinja2==3.1.5
-    # via
-    #   gradio
-    #   torch
-markdown-it-py==3.0.0
-    # via rich
-markupsafe==2.1.5
-    # via
-    #   gradio
-    #   jinja2
-mdurl==0.1.2
-    # via markdown-it-py
-mpmath==1.3.0
-    # via sympy
-multidict==6.1.0
-    # via
-    #   aiohttp
-    #   yarl
-multiprocess==0.70.16
-    # via datasets
-networkx==3.4.2
-    # via torch
-numpy==2.2.3
-    # via
-    #   accelerate
-    #   datasets
-    #   gradio
-    #   pandas
-    #   transformers
-nvidia-cublas-cu12==12.1.3.1
-    # via
-    #   nvidia-cudnn-cu12
-    #   nvidia-cusolver-cu12
-    #   torch
-nvidia-cuda-cupti-cu12==12.1.105
-    # via torch
-nvidia-cuda-nvrtc-cu12==12.1.105
-    # via torch
-nvidia-cuda-runtime-cu12==12.1.105
-    # via torch
-nvidia-cudnn-cu12==9.1.0.70
-    # via torch
-nvidia-cufft-cu12==11.0.2.54
-    # via torch
-nvidia-curand-cu12==10.3.2.106
-    # via torch
-nvidia-cusolver-cu12==11.4.5.107
-    # via torch
-nvidia-cusparse-cu12==12.1.0.106
-    # via
-    #   nvidia-cusolver-cu12
-    #   torch
-nvidia-nccl-cu12==2.20.5
-    # via torch
-nvidia-nvjitlink-cu12==12.8.61
-    # via
-    #   nvidia-cusolver-cu12
-    #   nvidia-cusparse-cu12
-nvidia-nvtx-cu12==12.1.105
-    # via torch
-orjson==3.10.15
-    # via gradio
-packaging==24.2
-    # via
-    #   accelerate
-    #   datasets
-    #   gradio
-    #   gradio-client
-    #   huggingface-hub
-    #   spaces
-    #   transformers
-pandas==2.2.3
-    # via
-    #   datasets
-    #   gradio
-pillow==11.1.0
-    # via gradio
-propcache==0.2.1
-    # via
-    #   aiohttp
-    #   yarl
-psutil==5.9.8
-    # via
-    #   accelerate
-    #   spaces
-pyarrow==19.0.0
-    # via datasets
-pydantic==2.10.6
-    # via
-    #   fastapi
-    #   gradio
-    #   spaces
-pydantic-core==2.27.2
-    # via pydantic
-pydub==0.25.1
-    # via gradio
-pygments==2.19.1
-    # via rich
-python-dateutil==2.9.0.post0
-    # via pandas
-python-multipart==0.0.20
-    # via gradio
-pytz==2025.1
-    # via pandas
-pyyaml==6.0.2
-    # via
-    #   accelerate
-    #   datasets
-    #   gradio
-    #   huggingface-hub
-    #   transformers
-regex==2024.11.6
-    # via transformers
-requests==2.32.3
-    # via
-    #   datasets
-    #   huggingface-hub
-    #   spaces
-    #   transformers
-rich==13.9.4
-    # via typer
-ruff==0.9.6
-    # via gradio
-safehttpx==0.1.6
-    # via gradio
-safetensors==0.5.2
-    # via
-    #   accelerate
-    #   transformers
-semantic-version==2.10.0
-    # via gradio
-shellingham==1.5.4
-    # via typer
-six==1.17.0
-    # via python-dateutil
-sniffio==1.3.1
-    # via anyio
-spaces==0.32.0
-    # via qwen2-5-bakeneko-32b-instruct-awq (pyproject.toml)
-starlette==0.45.3
-    # via
-    #   fastapi
-    #   gradio
-sympy==1.13.3
-    # via torch
-tokenizers==0.21.0
-    # via
-    #   autoawq
-    #   transformers
-tomlkit==0.13.2
-    # via gradio
-torch==2.4.0
-    # via
-    #   qwen2-5-bakeneko-32b-instruct-awq (pyproject.toml)
-    #   accelerate
-    #   autoawq
-tqdm==4.67.1
-    # via
-    #   datasets
-    #   huggingface-hub
-    #   transformers
-transformers==4.48.3
-    # via
-    #   qwen2-5-bakeneko-32b-instruct-awq (pyproject.toml)
-    #   autoawq
-triton==3.0.0
-    # via
-    #   autoawq
-    #   torch
-typer==0.15.1
-    # via gradio
-typing-extensions==4.12.2
-    # via
-    #   anyio
-    #   autoawq
-    #   fastapi
-    #   gradio
-    #   gradio-client
-    #   huggingface-hub
-    #   multidict
-    #   pydantic
-    #   pydantic-core
-    #   rich
-    #   spaces
-    #   torch
-    #   typer
-    #   uvicorn
-tzdata==2025.1
-    # via pandas
-urllib3==2.3.0
-    # via requests
-uvicorn==0.34.0
-    # via gradio
-websockets==14.2
-    # via gradio-client
-xxhash==3.5.0
-    # via datasets
-yarl==1.18.3
-    # via aiohttp
-zstandard==0.23.0
-    # via autoawq
+https://github.com/abetlen/llama-cpp-python/releases/download/v0.2.82-cu122/llama_cpp_python-0.2.82-cp310-cp310-linux_x86_64.whl
+torch
+huggingface_hub>=0.22.2
+scikit-build-core
+llama-cpp-agent>=0.2.18