Fix: Clean up requirements files by removing unused dependencies and ensuring consistent package naming

requirements.in

@@ -1,8 +1,10 @@
-apscheduler
-arxiv
+fastapi
+pylance
+polars
 cachetools
-gradio
-huggingface_hub
-scikit-learn==1.2.2
-setfit
-stamina
+python-dotenv
+Jinja2
+markupsafe
+huggingface-hub
+sentence-transformers
+uvicorn

requirements.txt

@@ -1,89 +1,38 @@
 # This file was autogenerated by uv via the following command:
-#    uv pip compile requirements.in -o requirements.txt
-accelerate==1.12.0
-    # via sentence-transformers
-aiofiles==24.1.0
-    # via gradio
-aiohappyeyeballs==2.6.1
-    # via aiohttp
-aiohttp==3.13.3
-    # via fsspec
-aiosignal==1.4.0
-    # via aiohttp
+#    uv pip compile requirements.in -o requirements.txt --python-platform linux --python-version 3.12
 annotated-doc==0.0.4
     # via fastapi
 annotated-types==0.7.0
     # via pydantic
 anyio==4.12.1
     # via
-    #   gradio
     #   httpx
     #   starlette
-apscheduler==3.11.2
-    # via -r requirements.in
-arxiv==2.4.0
-    # via -r requirements.in
-attrs==25.4.0
-    # via aiohttp
-audioop-lts==0.2.2
-    # via gradio
-brotli==1.2.0
-    # via gradio
 cachetools==7.0.0
     # via -r requirements.in
 certifi==2026.1.4
     # via
     #   httpcore
     #   httpx
-    #   requests
-charset-normalizer==3.4.4
-    # via requests
 click==8.3.1
     # via
-    #   typer
     #   typer-slim
     #   uvicorn
-datasets==4.5.0
-    # via
-    #   evaluate
-    #   sentence-transformers
-    #   setfit
-dill==0.4.0
-    # via
-    #   datasets
-    #   evaluate
-    #   multiprocess
-evaluate==0.4.6
-    # via setfit
+cuda-bindings==12.9.4
+    # via torch
+cuda-pathfinder==1.3.3
+    # via cuda-bindings
 fastapi==0.128.1
-    # via gradio
-feedparser==6.0.12
-    # via arxiv
-ffmpy==1.0.0
-    # via gradio
+    # via -r requirements.in
 filelock==3.20.3
     # via
-    #   datasets
     #   huggingface-hub
     #   torch
     #   transformers
-frozenlist==1.8.0
-    # via
-    #   aiohttp
-    #   aiosignal
 fsspec==2025.10.0
     # via
-    #   datasets
-    #   evaluate
-    #   gradio-client
     #   huggingface-hub
     #   torch
-gradio==6.5.1
-    # via -r requirements.in
-gradio-client==2.0.3
-    # via gradio
-groovy==0.1.2
-    # via gradio
 h11==0.16.0
     # via
     #   httpcore
@@ -93,218 +42,164 @@ hf-xet==1.2.0
 httpcore==1.0.9
     # via httpx
 httpx==0.28.1
-    # via
-    #   datasets
-    #   gradio
-    #   gradio-client
-    #   huggingface-hub
-    #   safehttpx
+    # via huggingface-hub
 huggingface-hub==1.4.0
     # via
     #   -r requirements.in
-    #   accelerate
-    #   datasets
-    #   evaluate
-    #   gradio
-    #   gradio-client
     #   sentence-transformers
-    #   setfit
     #   tokenizers
     #   transformers
 idna==3.11
     # via
     #   anyio
     #   httpx
-    #   requests
-    #   yarl
 jinja2==3.1.6
     # via
-    #   gradio
+    #   -r requirements.in
     #   torch
 joblib==1.5.3
     # via scikit-learn
-markdown-it-py==4.0.0
-    # via rich
+lance-namespace==0.4.5
+    # via pylance
+lance-namespace-urllib3-client==0.4.5
+    # via lance-namespace
 markupsafe==3.0.3
     # via
-    #   gradio
+    #   -r requirements.in
     #   jinja2
-mdurl==0.1.2
-    # via markdown-it-py
 mpmath==1.3.0
     # via sympy
-multidict==6.7.1
-    # via
-    #   aiohttp
-    #   yarl
-multiprocess==0.70.18
-    # via
-    #   datasets
-    #   evaluate
 networkx==3.6.1
     # via torch
 numpy==2.4.2
     # via
-    #   accelerate
-    #   datasets
-    #   evaluate
-    #   gradio
-    #   pandas
+    #   pylance
     #   scikit-learn
     #   scipy
     #   sentence-transformers
     #   transformers
-orjson==3.11.7
-    # via gradio
+nvidia-cublas-cu12==12.8.4.1
+    # via
+    #   nvidia-cudnn-cu12
+    #   nvidia-cusolver-cu12
+    #   torch
+nvidia-cuda-cupti-cu12==12.8.90
+    # via torch
+nvidia-cuda-nvrtc-cu12==12.8.93
+    # via torch
+nvidia-cuda-runtime-cu12==12.8.90
+    # via torch
+nvidia-cudnn-cu12==9.10.2.21
+    # via torch
+nvidia-cufft-cu12==11.3.3.83
+    # via torch
+nvidia-cufile-cu12==1.13.1.3
+    # via torch
+nvidia-curand-cu12==10.3.9.90
+    # via torch
+nvidia-cusolver-cu12==11.7.3.90
+    # via torch
+nvidia-cusparse-cu12==12.5.8.93
+    # via
+    #   nvidia-cusolver-cu12
+    #   torch
+nvidia-cusparselt-cu12==0.7.1
+    # via torch
+nvidia-nccl-cu12==2.27.5
+    # via torch
+nvidia-nvjitlink-cu12==12.8.93
+    # via
+    #   nvidia-cufft-cu12
+    #   nvidia-cusolver-cu12
+    #   nvidia-cusparse-cu12
+    #   torch
+nvidia-nvshmem-cu12==3.4.5
+    # via torch
+nvidia-nvtx-cu12==12.8.90
+    # via torch
 packaging==26.0
     # via
-    #   accelerate
-    #   datasets
-    #   evaluate
-    #   gradio
-    #   gradio-client
     #   huggingface-hub
-    #   setfit
     #   transformers
-pandas==3.0.0
-    # via
-    #   datasets
-    #   evaluate
-    #   gradio
-pillow==12.1.0
-    # via gradio
-propcache==0.4.1
-    # via
-    #   aiohttp
-    #   yarl
-psutil==7.2.2
-    # via accelerate
+polars==1.38.0
+    # via -r requirements.in
+polars-runtime-32==1.38.0
+    # via polars
 pyarrow==23.0.0
-    # via datasets
+    # via pylance
 pydantic==2.12.5
     # via
     #   fastapi
-    #   gradio
+    #   lance-namespace-urllib3-client
 pydantic-core==2.41.5
     # via pydantic
-pydub==0.25.1
-    # via gradio
-pygments==2.19.2
-    # via rich
+pylance==1.0.4
+    # via -r requirements.in
 python-dateutil==2.9.0.post0
-    # via pandas
-python-multipart==0.0.22
-    # via gradio
-pytz==2025.2
-    # via gradio
+    # via lance-namespace-urllib3-client
+python-dotenv==1.2.1
+    # via -r requirements.in
 pyyaml==6.0.3
     # via
-    #   accelerate
-    #   datasets
-    #   gradio
     #   huggingface-hub
     #   transformers
 regex==2026.1.15
     # via transformers
-requests==2.32.5
-    # via
-    #   arxiv
-    #   datasets
-    #   evaluate
-rich==14.3.2
-    # via typer
-safehttpx==0.1.7
-    # via gradio
 safetensors==0.7.0
-    # via
-    #   accelerate
-    #   transformers
+    # via transformers
 scikit-learn==1.2.2
-    # via
-    #   -r requirements.in
-    #   sentence-transformers
-    #   setfit
+    # via sentence-transformers
 scipy==1.17.0
     # via
     #   scikit-learn
     #   sentence-transformers
-semantic-version==2.10.0
-    # via gradio
 sentence-transformers==5.2.2
-    # via setfit
-setfit==1.1.3
     # via -r requirements.in
 setuptools==80.10.2
     # via torch
-sgmllib3k==1.0.0
-    # via feedparser
 shellingham==1.5.4
-    # via
-    #   huggingface-hub
-    #   typer
+    # via huggingface-hub
 six==1.17.0
     # via python-dateutil
-stamina==25.2.0
-    # via -r requirements.in
 starlette==0.50.0
-    # via
-    #   fastapi
-    #   gradio
+    # via fastapi
 sympy==1.14.0
     # via torch
-tenacity==9.1.2
-    # via stamina
 threadpoolctl==3.6.0
     # via scikit-learn
 tokenizers==0.22.2
     # via transformers
-tomlkit==0.13.3
-    # via gradio
 torch==2.10.0
-    # via
-    #   accelerate
-    #   sentence-transformers
+    # via sentence-transformers
 tqdm==4.67.3
     # via
-    #   datasets
-    #   evaluate
     #   huggingface-hub
     #   sentence-transformers
     #   transformers
 transformers==5.0.0
-    # via
-    #   sentence-transformers
-    #   setfit
-typer==0.21.1
-    # via gradio
+    # via sentence-transformers
+triton==3.6.0
+    # via torch
 typer-slim==0.21.1
     # via
     #   huggingface-hub
     #   transformers
 typing-extensions==4.15.0
     # via
+    #   anyio
     #   fastapi
-    #   gradio
-    #   gradio-client
     #   huggingface-hub
+    #   lance-namespace-urllib3-client
     #   pydantic
     #   pydantic-core
     #   sentence-transformers
+    #   starlette
     #   torch
-    #   typer
     #   typer-slim
     #   typing-inspection
 typing-inspection==0.4.2
     # via pydantic
-tzlocal==5.3.1
-    # via apscheduler
 urllib3==2.6.3
-    # via requests
+    # via lance-namespace-urllib3-client
 uvicorn==0.40.0
-    # via gradio
-xxhash==3.6.0
-    # via
-    #   datasets
-    #   evaluate
-yarl==1.22.0
-    # via aiohttp
+    # via -r requirements.in