mirror of
https://github.com/gradio-app/gradio.git
synced 2025-04-12 12:40:29 +08:00
Fix typecheck error due to huggingface_hub update (#10460)
* fix typecheck * add changeset * fix test * fix * fix * fix * matplotlib --------- Co-authored-by: Freddy Boulton <freddyboulton@hf-freddy.local> Co-authored-by: gradio-pr-bot <gradio-pr-bot@users.noreply.github.com>
This commit is contained in:
Freddy Boulton
GitHub
parent
7cc5aa195b
commit
324383fb81
5
.changeset/seven-chefs-accept.md
Normal file
5
.changeset/seven-chefs-accept.md
Normal file
@ -0,0 +1,5 @@
|
||||
---
|
||||
"gradio": patch
|
||||
---
|
||||
|
||||
feat:Fix typecheck error due to huggingface_hub update
|
||||
@ -1 +1 @@
|
||||
{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: dataframe_streaming"]}, {"cell_type": "code", "execution_count": null, "id": "272996653310673477252411125948039410165", "metadata": {}, "outputs": [], "source": ["!pip install -q gradio "]}, {"cell_type": "code", "execution_count": null, "id": "288918539441861185822528903084949547379", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "import pandas as pd\n", "import time\n", "\n", "def update_dataframe(df):\n", " df.iloc[:, :] = 1\n", " yield df, 1\n", " time.sleep(0.1)\n", " df.iloc[:, :] = 2\n", " yield df, 2\n", "\n", "def sum_values(df):\n", " return pd.to_numeric(df.values.flatten(), errors='coerce').sum()\n", "\n", "initial_df = pd.DataFrame(0, index=range(5), columns=range(5))\n", "\n", "with gr.Blocks() as demo:\n", " with gr.Row():\n", " button = gr.Button(\"Update DataFrame\")\n", " number = gr.Number(value=0, label=\"Number\")\n", " dataframe = gr.Dataframe(value=initial_df, label=\"Dataframe\")\n", "\n", " button.click(fn=update_dataframe, inputs=dataframe, outputs=[dataframe, number])\n", " with gr.Row():\n", " change_events = gr.Number(label=\"Change events\")\n", " input_events = gr.Number(label=\"Input events\")\n", " sum_of_values = gr.Number(label=\"Sum of values\")\n", "\n", " dataframe.change(lambda x:x+1, inputs=change_events, outputs=change_events)\n", " dataframe.input(lambda x:x+1, inputs=input_events, outputs=input_events)\n", " dataframe.change(sum_values, inputs=dataframe, outputs=sum_of_values)\n", "\n", "if __name__ == \"__main__\":\n", " demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
|
||||
{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: dataframe_streaming"]}, {"cell_type": "code", "execution_count": null, "id": "272996653310673477252411125948039410165", "metadata": {}, "outputs": [], "source": ["!pip install -q gradio "]}, {"cell_type": "code", "execution_count": null, "id": "288918539441861185822528903084949547379", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "import pandas as pd\n", "import time\n", "\n", "def update_dataframe(df):\n", " df.iloc[:, :] = 1\n", " yield df, 1\n", " time.sleep(0.1)\n", " df.iloc[:, :] = 2\n", " yield df, 2\n", "\n", "def sum_values(df):\n", " return pd.to_numeric(df.values.flatten(), errors='coerce').sum() # type: ignore\n", "\n", "initial_df = pd.DataFrame(0, index=range(5), columns=range(5))\n", "\n", "with gr.Blocks() as demo:\n", " with gr.Row():\n", " button = gr.Button(\"Update DataFrame\")\n", " number = gr.Number(value=0, label=\"Number\")\n", " dataframe = gr.Dataframe(value=initial_df, label=\"Dataframe\")\n", "\n", " button.click(fn=update_dataframe, inputs=dataframe, outputs=[dataframe, number])\n", " with gr.Row():\n", " change_events = gr.Number(label=\"Change events\")\n", " input_events = gr.Number(label=\"Input events\")\n", " sum_of_values = gr.Number(label=\"Sum of values\")\n", "\n", " dataframe.change(lambda x:x+1, inputs=change_events, outputs=change_events)\n", " dataframe.input(lambda x:x+1, inputs=input_events, outputs=input_events)\n", " dataframe.change(sum_values, inputs=dataframe, outputs=sum_of_values)\n", "\n", "if __name__ == \"__main__\":\n", " demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
|
||||
@ -10,7 +10,7 @@ def update_dataframe(df):
|
||||
yield df, 2
|
||||
|
||||
def sum_values(df):
|
||||
return pd.to_numeric(df.values.flatten(), errors='coerce').sum()
|
||||
return pd.to_numeric(df.values.flatten(), errors='coerce').sum() # type: ignore
|
||||
|
||||
initial_df = pd.DataFrame(0, index=range(5), columns=range(5))
|
||||
|
||||
|
||||
@ -1 +1 @@
|
||||
{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: streaming_wav2vec"]}, {"cell_type": "code", "execution_count": null, "id": "272996653310673477252411125948039410165", "metadata": {}, "outputs": [], "source": ["!pip install -q gradio torch transformers "]}, {"cell_type": "code", "execution_count": null, "id": "288918539441861185822528903084949547379", "metadata": {}, "outputs": [], "source": ["from transformers import pipeline\n", "import gradio as gr\n", "import time\n", "\n", "p = pipeline(\"automatic-speech-recognition\")\n", "\n", "def transcribe(audio, state=\"\"):\n", " time.sleep(2)\n", " text = p(audio)[\"text\"] # type: ignore\n", " state += text + \" \"\n", " return state, state\n", "\n", "demo = gr.Interface(\n", " fn=transcribe,\n", " inputs=[\n", " gr.Audio(sources=[\"microphone\"], type=\"filepath\", streaming=True),\n", " \"state\"\n", " ],\n", " outputs=[\n", " \"textbox\",\n", " \"state\"\n", " ],\n", " live=True\n", ")\n", "\n", "if __name__ == \"__main__\":\n", " demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
|
||||
{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: streaming_wav2vec"]}, {"cell_type": "code", "execution_count": null, "id": "272996653310673477252411125948039410165", "metadata": {}, "outputs": [], "source": ["!pip install -q gradio torch transformers "]}, {"cell_type": "code", "execution_count": null, "id": "288918539441861185822528903084949547379", "metadata": {}, "outputs": [], "source": ["from transformers import pipeline\n", "import gradio as gr\n", "import time\n", "\n", "p = pipeline(\"automatic-speech-recognition\")\n", "\n", "def transcribe(audio, state=\"\"):\n", " time.sleep(2)\n", " text = p(audio)[\"text\"] # type: ignore\n", " state += text + \" \" # type: ignore\n", " return state, state\n", "\n", "demo = gr.Interface(\n", " fn=transcribe,\n", " inputs=[\n", " gr.Audio(sources=[\"microphone\"], type=\"filepath\", streaming=True),\n", " \"state\"\n", " ],\n", " outputs=[\n", " \"textbox\",\n", " \"state\"\n", " ],\n", " live=True\n", ")\n", "\n", "if __name__ == \"__main__\":\n", " demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
|
||||
@ -7,7 +7,7 @@ p = pipeline("automatic-speech-recognition")
|
||||
def transcribe(audio, state=""):
|
||||
time.sleep(2)
|
||||
text = p(audio)["text"] # type: ignore
|
||||
state += text + " "
|
||||
state += text + " " # type: ignore
|
||||
return state, state
|
||||
|
||||
demo = gr.Interface(
|
||||
|
||||
@ -173,6 +173,8 @@ def from_model(
|
||||
model_name: str, hf_token: str | Literal[False] | None, alias: str | None, **kwargs
|
||||
) -> Blocks:
|
||||
headers = {"X-Wait-For-Model": "true"}
|
||||
if hf_token is False:
|
||||
hf_token = None
|
||||
client = huggingface_hub.InferenceClient(
|
||||
model=model_name, headers=headers, token=hf_token
|
||||
)
|
||||
@ -430,7 +432,7 @@ def from_model(
|
||||
data = preprocess(*data)
|
||||
try:
|
||||
data = fn(*data) # type: ignore
|
||||
except huggingface_hub.utils.HfHubHTTPError as e:
|
||||
except huggingface_hub.utils.HfHubHTTPError as e: # type: ignore
|
||||
if "429" in str(e):
|
||||
raise TooManyRequestsError() from e
|
||||
if postprocess is not None:
|
||||
|
||||
@ -1094,7 +1094,7 @@ def video_is_playable(video_filepath: str) -> bool:
|
||||
inputs={video_filepath: None},
|
||||
)
|
||||
output = probe.run(stderr=subprocess.PIPE, stdout=subprocess.PIPE)
|
||||
output = json.loads(output[0])
|
||||
output = json.loads(output[0]) # type: ignore
|
||||
video_codec = output["streams"][0]["codec_name"]
|
||||
return (container, video_codec) in [
|
||||
(".mp4", "h264"),
|
||||
|
||||
@ -6,8 +6,6 @@ source scripts/helpers.sh
|
||||
pip_required
|
||||
|
||||
echo "Creating test requirements...
|
||||
To match the CI environment, this script should be run from a Unix-like system in Python 3.9."
|
||||
To match the CI environment, this script should be run from a Unix-like system in Python 3.10."
|
||||
|
||||
cd test
|
||||
pip install --upgrade pip-tools
|
||||
pip-compile requirements.in --output-file requirements.txt
|
||||
uv pip compile test/requirements.in -o test/requirements.txt
|
||||
|
||||
@ -1,13 +1,17 @@
|
||||
# Don't forget to run bash scripts/create_test_requirements.sh and scripts/create_test_requirements-37.sh from unix or wsl when you update this file.
|
||||
# Make sure the gradio version is less than the one in gradio/package.json so that it can be overridden by the local version.
|
||||
IPython
|
||||
altair
|
||||
asyncio
|
||||
boto3
|
||||
coverage
|
||||
fastapi>=0.101.0
|
||||
gradio_pdf==0.0.3
|
||||
fastapi>=0.115.7
|
||||
gradio_pdf==0.0.21
|
||||
gradio==5.10.0
|
||||
matplotlib
|
||||
httpx
|
||||
huggingface_hub
|
||||
hypothesis
|
||||
polars==0.20.5
|
||||
pydantic[email]
|
||||
pytest
|
||||
|
||||
@ -1,125 +1,127 @@
|
||||
#
|
||||
# This file is autogenerated by pip-compile with Python 3.9
|
||||
# by the following command:
|
||||
#
|
||||
# pip-compile --output-file=requirements.txt requirements.in
|
||||
#
|
||||
# This file was autogenerated by uv via the following command:
|
||||
# uv pip compile test/requirements.in -o test/requirements.txt
|
||||
aiofiles==23.2.1
|
||||
# via gradio
|
||||
altair>=5.0
|
||||
# via
|
||||
# -r requirements.in
|
||||
# gradio
|
||||
annotated-types==0.6.0
|
||||
altair==5.5.0
|
||||
# via -r test/requirements.in
|
||||
annotated-types==0.7.0
|
||||
# via pydantic
|
||||
anyio==3.6.1
|
||||
anyio==4.8.0
|
||||
# via
|
||||
# httpcore
|
||||
# gradio
|
||||
# httpx
|
||||
# starlette
|
||||
appnope==0.1.4
|
||||
# via ipython
|
||||
asttokens==3.0.0
|
||||
# via stack-data
|
||||
asyncio==3.4.3
|
||||
# via -r requirements.in
|
||||
attrs==23.1.0
|
||||
# via -r test/requirements.in
|
||||
attrs==25.1.0
|
||||
# via
|
||||
# hypothesis
|
||||
# jsonschema
|
||||
# pytest
|
||||
backcall==0.2.0
|
||||
# via ipython
|
||||
boto3==1.34.84
|
||||
# via -r requirements.in
|
||||
botocore==1.34.84
|
||||
# referencing
|
||||
boto3==1.36.8
|
||||
# via -r test/requirements.in
|
||||
botocore==1.36.8
|
||||
# via
|
||||
# boto3
|
||||
# s3transfer
|
||||
certifi==2022.6.15
|
||||
certifi==2024.12.14
|
||||
# via
|
||||
# httpcore
|
||||
# httpx
|
||||
# requests
|
||||
charset-normalizer==2.1.0
|
||||
charset-normalizer==3.4.1
|
||||
# via requests
|
||||
click==8.1.7
|
||||
click==8.1.8
|
||||
# via
|
||||
# typer
|
||||
# uvicorn
|
||||
colorama==0.4.6
|
||||
# via typer
|
||||
contourpy==1.0.7
|
||||
contourpy==1.3.1
|
||||
# via matplotlib
|
||||
coverage[toml]==7.4.2
|
||||
coverage==7.6.10
|
||||
# via
|
||||
# -r requirements.in
|
||||
# -r test/requirements.in
|
||||
# pytest-cov
|
||||
cycler==0.12.1
|
||||
# via matplotlib
|
||||
decorator==5.1.1
|
||||
# via ipython
|
||||
diffusers==0.30.3
|
||||
# via -r requirements.in
|
||||
dnspython==2.6.1
|
||||
diffusers==0.32.2
|
||||
# via -r test/requirements.in
|
||||
dnspython==2.7.0
|
||||
# via email-validator
|
||||
email-validator==2.1.0.post1
|
||||
email-validator==2.2.0
|
||||
# via pydantic
|
||||
entrypoints==0.4
|
||||
# via altair
|
||||
fastapi==0.103.0
|
||||
executing==2.2.0
|
||||
# via stack-data
|
||||
fastapi==0.115.7
|
||||
# via
|
||||
# -r requirements.in
|
||||
# -r test/requirements.in
|
||||
# gradio
|
||||
ffmpy==0.3.2
|
||||
ffmpy==0.5.0
|
||||
# via gradio
|
||||
filelock==3.7.1
|
||||
filelock==3.17.0
|
||||
# via
|
||||
# diffusers
|
||||
# huggingface-hub
|
||||
# torch
|
||||
# transformers
|
||||
fonttools==4.49.0
|
||||
fonttools==4.55.7
|
||||
# via matplotlib
|
||||
fsspec==2024.2.0
|
||||
fsspec==2024.12.0
|
||||
# via
|
||||
# gradio-client
|
||||
# huggingface-hub
|
||||
# torch
|
||||
gradio-client==0.10.0
|
||||
gradio==5.10.0
|
||||
# via
|
||||
# -r test/requirements.in
|
||||
# gradio-pdf
|
||||
gradio-client==1.5.3
|
||||
# via gradio
|
||||
gradio-pdf==0.0.7
|
||||
# via -r requirements.in
|
||||
gradio-pdf==0.0.21
|
||||
# via -r test/requirements.in
|
||||
h11==0.14.0
|
||||
# via
|
||||
# httpcore
|
||||
# uvicorn
|
||||
httpcore==1.0.5
|
||||
httpcore==1.0.7
|
||||
# via httpx
|
||||
httpx==0.28.1
|
||||
# via
|
||||
# -r requirements.in
|
||||
# -r test/requirements.in
|
||||
# gradio
|
||||
# gradio-client
|
||||
# respx
|
||||
hypothesis==6.108.9
|
||||
idna==3.3
|
||||
# safehttpx
|
||||
huggingface-hub==0.28.0
|
||||
# via
|
||||
# -r test/requirements.in
|
||||
# diffusers
|
||||
# gradio
|
||||
# gradio-client
|
||||
# tokenizers
|
||||
# transformers
|
||||
hypothesis==6.124.7
|
||||
# via -r test/requirements.in
|
||||
idna==3.10
|
||||
# via
|
||||
# anyio
|
||||
# email-validator
|
||||
# httpx
|
||||
# requests
|
||||
# rfc3986
|
||||
imageio==2.19.5
|
||||
imageio==2.37.0
|
||||
# via scikit-image
|
||||
importlib-metadata==7.0.1
|
||||
importlib-metadata==8.6.1
|
||||
# via diffusers
|
||||
importlib-resources==6.1.1
|
||||
# via
|
||||
# gradio
|
||||
# matplotlib
|
||||
iniconfig==1.1.1
|
||||
iniconfig==2.0.0
|
||||
# via pytest
|
||||
ipython==7.34.0
|
||||
# via -r requirements.in
|
||||
jedi==0.18.1
|
||||
ipython==8.31.0
|
||||
# via -r test/requirements.in
|
||||
jedi==0.19.2
|
||||
# via ipython
|
||||
jinja2==3.1.2
|
||||
jinja2==3.1.5
|
||||
# via
|
||||
# altair
|
||||
# gradio
|
||||
@ -128,65 +130,69 @@ jmespath==1.0.1
|
||||
# via
|
||||
# boto3
|
||||
# botocore
|
||||
jsonschema==4.7.2
|
||||
jsonschema==4.23.0
|
||||
# via altair
|
||||
kiwisolver==1.4.5
|
||||
jsonschema-specifications==2024.10.1
|
||||
# via jsonschema
|
||||
kiwisolver==1.4.8
|
||||
# via matplotlib
|
||||
lazy-loader==0.4
|
||||
# via scikit-image
|
||||
markdown-it-py==3.0.0
|
||||
# via rich
|
||||
markupsafe==2.1.1
|
||||
markupsafe==2.1.5
|
||||
# via
|
||||
# gradio
|
||||
# jinja2
|
||||
matplotlib==3.7.5
|
||||
# via gradio
|
||||
matplotlib-inline==0.1.3
|
||||
matplotlib==3.10.0
|
||||
# via -r test/requirements.in
|
||||
matplotlib-inline==0.1.7
|
||||
# via ipython
|
||||
mdurl==0.1.2
|
||||
# via markdown-it-py
|
||||
mpmath==1.3.0
|
||||
# via sympy
|
||||
networkx==2.6.3
|
||||
narwhals==1.24.1
|
||||
# via altair
|
||||
networkx==3.4.2
|
||||
# via
|
||||
# scikit-image
|
||||
# torch
|
||||
numpy==1.24.4
|
||||
numpy==2.2.2
|
||||
# via
|
||||
# altair
|
||||
# contourpy
|
||||
# diffusers
|
||||
# gradio
|
||||
# imageio
|
||||
# matplotlib
|
||||
# pandas
|
||||
# pywavelets
|
||||
# scikit-image
|
||||
# scipy
|
||||
# tifffile
|
||||
# transformers
|
||||
orjson==3.9.14
|
||||
orjson==3.10.15
|
||||
# via gradio
|
||||
packaging==22.0
|
||||
# via
|
||||
# gradio
|
||||
# gradio-client
|
||||
# huggingface-hub
|
||||
# matplotlib
|
||||
# pytest
|
||||
# scikit-image
|
||||
# transformers
|
||||
pandas==1.5.3
|
||||
packaging==24.2
|
||||
# via
|
||||
# altair
|
||||
# gradio
|
||||
# gradio-client
|
||||
# huggingface-hub
|
||||
# lazy-loader
|
||||
# matplotlib
|
||||
# pytest
|
||||
# pytest-rerunfailures
|
||||
# scikit-image
|
||||
# transformers
|
||||
pandas==2.2.3
|
||||
# via
|
||||
# gradio
|
||||
# vega-datasets
|
||||
parso==0.8.3
|
||||
parso==0.8.4
|
||||
# via jedi
|
||||
pexpect==4.8.0
|
||||
pexpect==4.9.0
|
||||
# via ipython
|
||||
pickleshare==0.7.5
|
||||
# via ipython
|
||||
pillow==9.2.0
|
||||
pillow==11.1.0
|
||||
# via
|
||||
# diffusers
|
||||
# gradio
|
||||
@ -196,160 +202,157 @@ pillow==9.2.0
|
||||
pluggy==1.5.0
|
||||
# via pytest
|
||||
polars==0.20.5
|
||||
# via -r requirements.in
|
||||
prompt-toolkit==3.0.30
|
||||
# via -r test/requirements.in
|
||||
prompt-toolkit==3.0.50
|
||||
# via ipython
|
||||
ptyprocess==0.7.0
|
||||
# via pexpect
|
||||
py==1.11.0
|
||||
# via pytest
|
||||
pydantic[email]==2.6.1
|
||||
pure-eval==0.2.3
|
||||
# via stack-data
|
||||
pydantic==2.10.6
|
||||
# via
|
||||
# -r requirements.in
|
||||
# -r test/requirements.in
|
||||
# fastapi
|
||||
# gradio
|
||||
pydantic-core==2.16.2
|
||||
pydantic-core==2.27.2
|
||||
# via pydantic
|
||||
pydub==0.25.1
|
||||
# via gradio
|
||||
pygments==2.17.2
|
||||
pygments==2.19.1
|
||||
# via
|
||||
# ipython
|
||||
# rich
|
||||
pyparsing==3.0.9
|
||||
pyparsing==3.2.1
|
||||
# via matplotlib
|
||||
pyrsistent==0.18.1
|
||||
# via jsonschema
|
||||
pytest==8.3.2
|
||||
pytest==8.3.4
|
||||
# via
|
||||
# -r requirements.in
|
||||
# -r test/requirements.in
|
||||
# pytest-asyncio
|
||||
# pytest-cov
|
||||
pytest-asyncio==0.19.0
|
||||
# via -r requirements.in
|
||||
pytest-cov==3.0.0
|
||||
# via -r requirements.in
|
||||
pytest-rerunfailures==14.0
|
||||
# via -r requirements.in
|
||||
python-dateutil==2.8.2
|
||||
# pytest-rerunfailures
|
||||
pytest-asyncio==0.25.3
|
||||
# via -r test/requirements.in
|
||||
pytest-cov==6.0.0
|
||||
# via -r test/requirements.in
|
||||
pytest-rerunfailures==15.0
|
||||
# via -r test/requirements.in
|
||||
python-dateutil==2.9.0.post0
|
||||
# via
|
||||
# botocore
|
||||
# matplotlib
|
||||
# pandas
|
||||
python-multipart==0.0.9
|
||||
python-multipart==0.0.20
|
||||
# via gradio
|
||||
pytz==2022.1
|
||||
pytz==2024.2
|
||||
# via pandas
|
||||
pywavelets==1.3.0
|
||||
# via scikit-image
|
||||
pyyaml==6.0
|
||||
pyyaml==6.0.2
|
||||
# via
|
||||
# gradio
|
||||
# huggingface-hub
|
||||
# transformers
|
||||
regex==2022.7.9
|
||||
referencing==0.36.2
|
||||
# via
|
||||
# jsonschema
|
||||
# jsonschema-specifications
|
||||
regex==2024.11.6
|
||||
# via
|
||||
# diffusers
|
||||
# transformers
|
||||
requests==2.28.1
|
||||
requests==2.32.3
|
||||
# via
|
||||
# diffusers
|
||||
# huggingface-hub
|
||||
# transformers
|
||||
respx==0.19.2
|
||||
# via -r requirements.in
|
||||
rfc3986[idna2008]==1.5.0
|
||||
# via
|
||||
# httpx
|
||||
# rfc3986
|
||||
rich==13.7.0
|
||||
respx==0.22.0
|
||||
# via -r test/requirements.in
|
||||
rich==13.9.4
|
||||
# via typer
|
||||
ruff==0.4.1
|
||||
rpds-py==0.22.3
|
||||
# via
|
||||
# -r requirements.in
|
||||
# jsonschema
|
||||
# referencing
|
||||
ruff==0.9.3
|
||||
# via
|
||||
# -r test/requirements.in
|
||||
# gradio
|
||||
s3transfer==0.10.0
|
||||
s3transfer==0.11.2
|
||||
# via boto3
|
||||
safetensors==0.4.2
|
||||
safehttpx==0.1.6
|
||||
# via gradio
|
||||
safetensors==0.5.2
|
||||
# via
|
||||
# diffusers
|
||||
# transformers
|
||||
scikit-image==0.19.3
|
||||
# via -r requirements.in
|
||||
scipy==1.10.0
|
||||
scikit-image==0.25.1
|
||||
# via -r test/requirements.in
|
||||
scipy==1.15.1
|
||||
# via scikit-image
|
||||
semantic-version==2.10.0
|
||||
# via gradio
|
||||
shellingham==1.5.4
|
||||
# via typer
|
||||
six==1.16.0
|
||||
six==1.17.0
|
||||
# via python-dateutil
|
||||
sniffio==1.2.0
|
||||
sniffio==1.3.1
|
||||
# via anyio
|
||||
sortedcontainers==2.4.0
|
||||
# via hypothesis
|
||||
stack-data==0.6.3
|
||||
# via ipython
|
||||
starlette==0.45.3
|
||||
# via
|
||||
# anyio
|
||||
# httpcore
|
||||
# httpx
|
||||
starlette==0.27.0
|
||||
# via fastapi
|
||||
sympy==1.12
|
||||
# fastapi
|
||||
# gradio
|
||||
sympy==1.13.1
|
||||
# via torch
|
||||
tifffile==2021.11.2
|
||||
tifffile==2025.1.10
|
||||
# via scikit-image
|
||||
tokenizers==0.15.1
|
||||
tokenizers==0.21.0
|
||||
# via transformers
|
||||
tomli==2.0.1
|
||||
# via
|
||||
# coverage
|
||||
# pytest
|
||||
tomlkit==0.12.0
|
||||
tomlkit==0.13.2
|
||||
# via gradio
|
||||
toolz==0.12.0
|
||||
# via altair
|
||||
torch==2.1.2
|
||||
# via -r requirements.in
|
||||
tqdm==4.64.0
|
||||
torch==2.6.0
|
||||
# via -r test/requirements.in
|
||||
tqdm==4.67.1
|
||||
# via
|
||||
# -r requirements.in
|
||||
# -r test/requirements.in
|
||||
# huggingface-hub
|
||||
# transformers
|
||||
traitlets==5.3.0
|
||||
traitlets==5.14.3
|
||||
# via
|
||||
# ipython
|
||||
# matplotlib-inline
|
||||
transformers==4.37.2
|
||||
# via -r requirements.in
|
||||
typer[all]==0.9.0
|
||||
# via
|
||||
# gradio
|
||||
# typer
|
||||
typing-extensions==4.9.0
|
||||
transformers==4.48.1
|
||||
# via -r test/requirements.in
|
||||
typer==0.15.1
|
||||
# via gradio
|
||||
typing-extensions==4.12.2
|
||||
# via
|
||||
# altair
|
||||
# anyio
|
||||
# fastapi
|
||||
# gradio
|
||||
# gradio-client
|
||||
# huggingface-hub
|
||||
# ipython
|
||||
# pydantic
|
||||
# pydantic-core
|
||||
# starlette
|
||||
# referencing
|
||||
# torch
|
||||
# typer
|
||||
# uvicorn
|
||||
urllib3==1.26.10
|
||||
tzdata==2025.1
|
||||
# via pandas
|
||||
urllib3==2.3.0
|
||||
# via
|
||||
# botocore
|
||||
# requests
|
||||
uvicorn==0.27.1
|
||||
uvicorn==0.34.0
|
||||
# via gradio
|
||||
vega-datasets==0.9.0
|
||||
# via -r requirements.in
|
||||
wcwidth==0.2.5
|
||||
# via -r test/requirements.in
|
||||
wcwidth==0.2.13
|
||||
# via prompt-toolkit
|
||||
websockets==11.0.3
|
||||
websockets==14.2
|
||||
# via gradio-client
|
||||
zipp==3.17.0
|
||||
# via
|
||||
# importlib-metadata
|
||||
# importlib-resources
|
||||
|
||||
# The following packages are considered to be unsafe in a requirements file:
|
||||
# setuptools
|
||||
zipp==3.21.0
|
||||
# via importlib-metadata
|
||||
|
||||
@ -11,8 +11,7 @@ from gradio_pdf import PDF
|
||||
def test_processing_utils_backwards_compatibility():
|
||||
pdf_component = PDF()
|
||||
cached_pdf_file = pdf_component.as_example("test/test_files/sample_file.pdf")
|
||||
path = cached_pdf_file.path # type: ignore
|
||||
assert (
|
||||
cached_pdf_file
|
||||
and Path(cached_pdf_file).exists()
|
||||
and Path(cached_pdf_file).name == "sample_file.pdf"
|
||||
cached_pdf_file and Path(path).exists() and Path(path).name == "sample_file.pdf"
|
||||
)
|
||||
|
||||
@ -340,7 +340,7 @@ class TestThemeUploadDownload:
|
||||
def test_first_upload_no_version(self, mock_1):
|
||||
mock_1.whoami.return_value = {"name": "freddyaboulton"}
|
||||
|
||||
mock_1.HfApi().space_info.side_effect = huggingface_hub.hf_api.HTTPError("Foo")
|
||||
mock_1.HfApi().space_info.side_effect = huggingface_hub.hf_api.HTTPError("Foo") # type: ignore
|
||||
|
||||
gr.themes.Monochrome().push_to_hub(repo_name="does_not_exist")
|
||||
repo_call_args = mock_1.HfApi().create_commit.call_args_list[0][1]
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user