Update requirements.txt
Browse files- requirements.txt +134 -115
requirements.txt
CHANGED
@@ -1,57 +1,49 @@
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#
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#
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# by the following command:
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#
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# pip-compile
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#
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aiofiles==23.2.1
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# via gradio
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aiohttp==3.
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# via
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# datasets
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# fsspec
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aiosignal==1.3.1
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# via aiohttp
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altair==5.
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# via gradio
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annotated-types==0.
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# via pydantic
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anyio==
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# via
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#
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# httpcore
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# starlette
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apscheduler==3.10.4
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# via -r requirements.in
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arxiv==1.
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# via -r requirements.in
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-
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# via aiohttp
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attrs==23.1.0
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# via
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# aiohttp
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# jsonschema
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# referencing
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cachetools==5.3.
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# via -r requirements.in
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certifi==
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# via
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# httpcore
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# httpx
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# requests
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charset-normalizer==3.3.
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# via
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# aiohttp
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# requests
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click==8.1.7
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# via
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#
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# uvicorn
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contourpy==1.
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# via matplotlib
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cycler==0.12.
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# via matplotlib
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datasets==2.14.
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# via
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# evaluate
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# setfit
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@@ -60,89 +52,103 @@ dill==0.3.7
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# datasets
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# evaluate
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# multiprocess
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# via setfit
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fastapi==0.
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# via gradio
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feedparser==6.0.10
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# via arxiv
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ffmpy==0.3.
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# via gradio
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filelock==3.
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# via
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# huggingface-hub
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# torch
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# transformers
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fonttools==4.
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# via matplotlib
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frozenlist==1.4.
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# via
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# aiohttp
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# aiosignal
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fsspec
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# via
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# datasets
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# evaluate
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# gradio-client
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# huggingface-hub
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# torch
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gradio==
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# via -r requirements.in
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gradio-client==0.
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# via gradio
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h11==0.14.0
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# via
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# httpcore
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# uvicorn
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hf-transfer==0.1.
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# via -r requirements.in
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httpcore==0.
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# via httpx
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-
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# via
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# gradio
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# gradio-client
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huggingface-hub==0.
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# via
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# datasets
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# evaluate
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# gradio
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# gradio-client
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# sentence-transformers
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# tokenizers
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# transformers
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idna==3.
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# via
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# anyio
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# httpx
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# requests
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# yarl
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importlib-resources==6.
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# via gradio
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jinja2==3.1.
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# via
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# altair
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# gradio
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# torch
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joblib==1.
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# via
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-
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# scikit-learn
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jsonschema==4.19.1
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# via altair
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jsonschema-specifications==2023.
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# via jsonschema
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kiwisolver==1.4.5
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# via matplotlib
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-
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# via
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# gradio
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# jinja2
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matplotlib==3.
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# via gradio
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mpmath==1.3.0
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# via sympy
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multidict==6.0.
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# via
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# aiohttp
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# yarl
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@@ -150,11 +156,9 @@ multiprocess==0.70.15
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# via
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# datasets
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# evaluate
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networkx==3.
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# via torch
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-
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# via sentence-transformers
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numpy==1.26.0
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# via
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# altair
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# contourpy
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@@ -167,11 +171,12 @@ numpy==1.26.0
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# scikit-learn
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# scipy
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# sentence-transformers
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# torchvision
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# transformers
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orjson==3.
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# via
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-
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# via
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# altair
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# datasets
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@@ -180,37 +185,44 @@ packaging==23.2
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# gradio-client
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# huggingface-hub
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# matplotlib
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# transformers
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pandas==2.
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# via
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# altair
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# datasets
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# evaluate
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# gradio
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pillow==10.0
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# via
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# gradio
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# matplotlib
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#
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pyarrow==
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# via datasets
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pydantic==2.
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# via
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# fastapi
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# gradio
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pydantic-core==2.
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# via pydantic
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pydub==0.25.1
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# via gradio
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-
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# via matplotlib
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python-dateutil==2.
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# via
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# matplotlib
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# pandas
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python-
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# via
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-
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# via
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# apscheduler
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# pandas
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@@ -220,91 +232,89 @@ pyyaml==6.0.1
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# gradio
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# huggingface-hub
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# transformers
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-
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# via
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# jsonschema
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# jsonschema-specifications
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regex==
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# via
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# nltk
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# transformers
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requests==2.31.0
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# via
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# datasets
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# evaluate
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# fsspec
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# gradio
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# gradio-client
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# huggingface-hub
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# responses
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# torchvision
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# transformers
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-
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# via
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rpds-py==0.
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# via
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# jsonschema
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# referencing
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-
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# via transformers
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scikit-learn==1.2.2
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# via
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# -r requirements.in
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# sentence-transformers
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-
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# via
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# scikit-learn
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# sentence-transformers
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semantic-version==2.10.0
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# via gradio
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sentence-transformers==
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# via setfit
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-
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# via sentence-transformers
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setfit==0.7.0
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# via -r requirements.in
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sgmllib3k==1.0.0
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# via feedparser
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six==1.16.0
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# via
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# apscheduler
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# python-dateutil
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sniffio==1.3.
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# via
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# anyio
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# httpcore
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# httpx
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stamina==
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# via -r requirements.in
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starlette==0.
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# via fastapi
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sympy==1.12
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# via torch
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tenacity==8.
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# via stamina
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threadpoolctl==3.
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# via scikit-learn
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tokenizers==0.
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# via transformers
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-
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# via altair
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torch==2.1
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# via
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# sentence-transformers
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# torchvision
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torchvision==0.16.0
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# via sentence-transformers
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tqdm==4.66.
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# via
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# datasets
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# evaluate
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# huggingface-hub
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# nltk
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# sentence-transformers
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# transformers
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transformers==4.
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# via sentence-transformers
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-
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# via
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# fastapi
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# gradio
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@@ -313,23 +323,32 @@ typing-extensions==4.8.0
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# pydantic
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# pydantic-core
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# torch
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-
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# via pandas
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tzlocal==5.
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# via apscheduler
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-
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# via
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# requests
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-
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uvicorn==0.23.2
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# via gradio
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websockets==11.0.3
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# via
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# gradio
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# gradio-client
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xxhash==3.4.1
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# via
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# datasets
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# evaluate
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334 |
-
yarl==1.9.
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# via aiohttp
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# This file was autogenerated by uv via the following command:
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# uv pip compile requirements.in -o requirements.txt
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aiofiles==23.2.1
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# via gradio
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aiohttp==3.9.5
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# via
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# datasets
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# fsspec
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9 |
aiosignal==1.3.1
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10 |
# via aiohttp
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11 |
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altair==5.3.0
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12 |
# via gradio
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13 |
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annotated-types==0.7.0
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14 |
# via pydantic
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anyio==4.4.0
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# via
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# httpx
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# starlette
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# watchfiles
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apscheduler==3.10.4
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# via -r requirements.in
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arxiv==2.1.0
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# via -r requirements.in
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attrs==23.2.0
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25 |
# via
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26 |
# aiohttp
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27 |
# jsonschema
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# referencing
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29 |
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cachetools==5.3.3
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# via -r requirements.in
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31 |
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certifi==2024.6.2
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32 |
# via
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33 |
# httpcore
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34 |
# httpx
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35 |
# requests
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36 |
+
charset-normalizer==3.3.2
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37 |
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# via requests
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click==8.1.7
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# via
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# typer
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# uvicorn
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contourpy==1.2.1
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# via matplotlib
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44 |
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cycler==0.12.1
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45 |
# via matplotlib
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datasets==2.14.4
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47 |
# via
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# evaluate
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# setfit
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# datasets
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# evaluate
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54 |
# multiprocess
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dnspython==2.6.1
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# via email-validator
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email-validator==2.1.1
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# via fastapi
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evaluate==0.4.2
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# via setfit
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fastapi==0.111.0
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# via gradio
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63 |
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fastapi-cli==0.0.4
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64 |
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# via fastapi
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65 |
feedparser==6.0.10
|
66 |
# via arxiv
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67 |
+
ffmpy==0.3.2
|
68 |
# via gradio
|
69 |
+
filelock==3.14.0
|
70 |
# via
|
71 |
# huggingface-hub
|
72 |
# torch
|
73 |
# transformers
|
74 |
+
fonttools==4.53.0
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75 |
# via matplotlib
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76 |
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frozenlist==1.4.1
|
77 |
# via
|
78 |
# aiohttp
|
79 |
# aiosignal
|
80 |
+
fsspec==2024.6.0
|
81 |
# via
|
82 |
# datasets
|
83 |
# evaluate
|
84 |
# gradio-client
|
85 |
# huggingface-hub
|
86 |
# torch
|
87 |
+
gradio==4.36.1
|
88 |
# via -r requirements.in
|
89 |
+
gradio-client==1.0.1
|
90 |
# via gradio
|
91 |
h11==0.14.0
|
92 |
# via
|
93 |
# httpcore
|
94 |
# uvicorn
|
95 |
+
hf-transfer==0.1.6
|
96 |
# via -r requirements.in
|
97 |
+
httpcore==1.0.5
|
98 |
# via httpx
|
99 |
+
httptools==0.6.1
|
100 |
+
# via uvicorn
|
101 |
+
httpx==0.27.0
|
102 |
# via
|
103 |
+
# fastapi
|
104 |
# gradio
|
105 |
# gradio-client
|
106 |
+
huggingface-hub==0.23.3
|
107 |
# via
|
108 |
# datasets
|
109 |
# evaluate
|
110 |
# gradio
|
111 |
# gradio-client
|
112 |
# sentence-transformers
|
113 |
+
# setfit
|
114 |
# tokenizers
|
115 |
# transformers
|
116 |
+
idna==3.7
|
117 |
# via
|
118 |
# anyio
|
119 |
+
# email-validator
|
120 |
# httpx
|
121 |
# requests
|
122 |
# yarl
|
123 |
+
importlib-resources==6.4.0
|
124 |
# via gradio
|
125 |
+
jinja2==3.1.4
|
126 |
# via
|
127 |
# altair
|
128 |
+
# fastapi
|
129 |
# gradio
|
130 |
# torch
|
131 |
+
joblib==1.4.2
|
132 |
+
# via scikit-learn
|
133 |
+
jsonschema==4.22.0
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|
134 |
# via altair
|
135 |
+
jsonschema-specifications==2023.12.1
|
136 |
# via jsonschema
|
137 |
kiwisolver==1.4.5
|
138 |
# via matplotlib
|
139 |
+
markdown-it-py==3.0.0
|
140 |
+
# via rich
|
141 |
+
markupsafe==2.1.5
|
142 |
# via
|
143 |
# gradio
|
144 |
# jinja2
|
145 |
+
matplotlib==3.9.0
|
146 |
# via gradio
|
147 |
+
mdurl==0.1.2
|
148 |
+
# via markdown-it-py
|
149 |
mpmath==1.3.0
|
150 |
# via sympy
|
151 |
+
multidict==6.0.5
|
152 |
# via
|
153 |
# aiohttp
|
154 |
# yarl
|
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|
156 |
# via
|
157 |
# datasets
|
158 |
# evaluate
|
159 |
+
networkx==3.3
|
160 |
# via torch
|
161 |
+
numpy==1.26.4
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|
162 |
# via
|
163 |
# altair
|
164 |
# contourpy
|
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|
171 |
# scikit-learn
|
172 |
# scipy
|
173 |
# sentence-transformers
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|
174 |
# transformers
|
175 |
+
orjson==3.10.3
|
176 |
+
# via
|
177 |
+
# fastapi
|
178 |
+
# gradio
|
179 |
+
packaging==24.1
|
180 |
# via
|
181 |
# altair
|
182 |
# datasets
|
|
|
185 |
# gradio-client
|
186 |
# huggingface-hub
|
187 |
# matplotlib
|
188 |
+
# setfit
|
189 |
# transformers
|
190 |
+
pandas==2.2.2
|
191 |
# via
|
192 |
# altair
|
193 |
# datasets
|
194 |
# evaluate
|
195 |
# gradio
|
196 |
+
pillow==10.3.0
|
197 |
# via
|
198 |
# gradio
|
199 |
# matplotlib
|
200 |
+
# sentence-transformers
|
201 |
+
pyarrow==16.1.0
|
202 |
# via datasets
|
203 |
+
pydantic==2.7.3
|
204 |
# via
|
205 |
# fastapi
|
206 |
# gradio
|
207 |
+
pydantic-core==2.18.4
|
208 |
# via pydantic
|
209 |
pydub==0.25.1
|
210 |
# via gradio
|
211 |
+
pygments==2.18.0
|
212 |
+
# via rich
|
213 |
+
pyparsing==3.1.2
|
214 |
# via matplotlib
|
215 |
+
python-dateutil==2.9.0.post0
|
216 |
# via
|
217 |
# matplotlib
|
218 |
# pandas
|
219 |
+
python-dotenv==1.0.1
|
220 |
+
# via uvicorn
|
221 |
+
python-multipart==0.0.9
|
222 |
+
# via
|
223 |
+
# fastapi
|
224 |
+
# gradio
|
225 |
+
pytz==2024.1
|
226 |
# via
|
227 |
# apscheduler
|
228 |
# pandas
|
|
|
232 |
# gradio
|
233 |
# huggingface-hub
|
234 |
# transformers
|
235 |
+
# uvicorn
|
236 |
+
referencing==0.35.1
|
237 |
# via
|
238 |
# jsonschema
|
239 |
# jsonschema-specifications
|
240 |
+
regex==2024.5.15
|
241 |
+
# via transformers
|
|
|
|
|
242 |
requests==2.31.0
|
243 |
# via
|
244 |
+
# arxiv
|
245 |
# datasets
|
246 |
# evaluate
|
|
|
|
|
|
|
247 |
# huggingface-hub
|
|
|
|
|
248 |
# transformers
|
249 |
+
rich==13.7.1
|
250 |
+
# via typer
|
251 |
+
rpds-py==0.18.1
|
252 |
# via
|
253 |
# jsonschema
|
254 |
# referencing
|
255 |
+
ruff==0.4.8
|
256 |
+
# via gradio
|
257 |
+
safetensors==0.4.3
|
258 |
# via transformers
|
259 |
scikit-learn==1.2.2
|
260 |
# via
|
261 |
# -r requirements.in
|
262 |
# sentence-transformers
|
263 |
+
# setfit
|
264 |
+
scipy==1.13.1
|
265 |
# via
|
266 |
# scikit-learn
|
267 |
# sentence-transformers
|
268 |
semantic-version==2.10.0
|
269 |
# via gradio
|
270 |
+
sentence-transformers==3.0.1
|
271 |
# via setfit
|
272 |
+
setfit==1.0.3
|
|
|
|
|
273 |
# via -r requirements.in
|
274 |
sgmllib3k==1.0.0
|
275 |
# via feedparser
|
276 |
+
shellingham==1.5.4
|
277 |
+
# via typer
|
278 |
six==1.16.0
|
279 |
# via
|
280 |
# apscheduler
|
281 |
# python-dateutil
|
282 |
+
sniffio==1.3.1
|
283 |
# via
|
284 |
# anyio
|
|
|
285 |
# httpx
|
286 |
+
stamina==24.2.0
|
287 |
# via -r requirements.in
|
288 |
+
starlette==0.37.2
|
289 |
# via fastapi
|
290 |
+
sympy==1.12.1
|
291 |
# via torch
|
292 |
+
tenacity==8.3.0
|
293 |
# via stamina
|
294 |
+
threadpoolctl==3.5.0
|
295 |
# via scikit-learn
|
296 |
+
tokenizers==0.19.1
|
297 |
# via transformers
|
298 |
+
tomlkit==0.12.0
|
299 |
+
# via gradio
|
300 |
+
toolz==0.12.1
|
301 |
# via altair
|
302 |
+
torch==2.3.1
|
|
|
|
|
|
|
|
|
303 |
# via sentence-transformers
|
304 |
+
tqdm==4.66.4
|
305 |
# via
|
306 |
# datasets
|
307 |
# evaluate
|
308 |
# huggingface-hub
|
|
|
309 |
# sentence-transformers
|
310 |
# transformers
|
311 |
+
transformers==4.41.2
|
312 |
# via sentence-transformers
|
313 |
+
typer==0.12.3
|
314 |
+
# via
|
315 |
+
# fastapi-cli
|
316 |
+
# gradio
|
317 |
+
typing-extensions==4.12.2
|
318 |
# via
|
319 |
# fastapi
|
320 |
# gradio
|
|
|
323 |
# pydantic
|
324 |
# pydantic-core
|
325 |
# torch
|
326 |
+
# typer
|
327 |
+
tzdata==2024.1
|
328 |
# via pandas
|
329 |
+
tzlocal==5.2
|
330 |
# via apscheduler
|
331 |
+
ujson==5.10.0
|
332 |
+
# via fastapi
|
333 |
+
urllib3==2.2.1
|
334 |
# via
|
335 |
+
# gradio
|
336 |
# requests
|
337 |
+
uvicorn==0.30.1
|
|
|
|
|
|
|
338 |
# via
|
339 |
+
# fastapi
|
340 |
# gradio
|
341 |
+
uvloop==0.19.0
|
342 |
+
# via uvicorn
|
343 |
+
watchfiles==0.22.0
|
344 |
+
# via uvicorn
|
345 |
+
websockets==11.0.3
|
346 |
+
# via
|
347 |
# gradio-client
|
348 |
+
# uvicorn
|
349 |
xxhash==3.4.1
|
350 |
# via
|
351 |
# datasets
|
352 |
# evaluate
|
353 |
+
yarl==1.9.4
|
354 |
# via aiohttp
|