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import asyncio
import copy
import io
import json
import os
import pathlib
import random
import sys
import time
import uuid
from concurrent.futures import wait
from contextlib import contextmanager
from functools import partial
from string import capwords
from unittest.mock import mock_open, patch
import gradio_client as grc
import numpy as np
import pytest
from fastapi import FastAPI
from fastapi.testclient import TestClient
from gradio_client import Client, media_data
from PIL import Image
import gradio as gr
from gradio import blocks, helpers
from gradio.data_classes import GradioModel, GradioRootModel
from gradio.events import SelectData
from gradio.exceptions import DuplicateBlockError
from gradio.route_utils import API_PREFIX
from gradio.utils import assert_configs_are_equivalent_besides_ids, cancel_tasks
pytest_plugins = ("pytest_asyncio",)
os.environ["GRADIO_ANALYTICS_ENABLED"] = "False"
@contextmanager
def captured_output():
new_out, new_err = io.StringIO(), io.StringIO()
old_out, old_err = sys.stdout, sys.stderr
try:
sys.stdout, sys.stderr = new_out, new_err
yield sys.stdout, sys.stderr
finally:
sys.stdout, sys.stderr = old_out, old_err
class TestBlocksMethods:
maxDiff = None
def test_set_share_is_false_by_default(self):
with gr.Blocks() as demo:
assert not demo.share
@patch("gradio.networking.setup_tunnel")
@patch("gradio.utils.colab_check")
def test_set_share_in_colab(self, mock_colab_check, mock_setup_tunnel):
mock_colab_check.return_value = True
mock_setup_tunnel.return_value = "http://localhost:7860/"
with gr.Blocks() as demo:
# self.share is False when instantiating the class
assert not demo.share
# share default is True, if share is None in colab and queueing
demo.launch(prevent_thread_lock=True)
assert demo.share
demo.close()
# share is also true, if share is None in colab with queueing
demo.queue()
demo.launch(prevent_thread_lock=True)
assert demo.share
demo.close()
def test_load_from_config(self):
fake_url = "https://fake.hf.space"
def update(name):
return f"Welcome to Gradio, {name}!"
with gr.Blocks() as demo1:
inp = gr.Textbox(placeholder="What is your name?")
out = gr.Textbox()
inp.submit(fn=update, inputs=inp, outputs=out, api_name="greet")
gr.Image(height=54, width=240)
config1 = demo1.get_config_file()
demo2 = gr.Blocks.from_config(config1, [update], "https://fake.hf.space")
for component in config1["components"]:
component["props"]["proxy_url"] = f"{fake_url}/"
config2 = demo2.get_config_file()
assert assert_configs_are_equivalent_besides_ids(config1, config2) # type: ignore
def test_partial_fn_in_config(self):
def greet(name, formatter):
return formatter(f"Hello {name}!")
greet_upper_case = partial(greet, formatter=capwords)
with gr.Blocks() as demo:
t = gr.Textbox()
o = gr.Textbox()
t.change(greet_upper_case, t, o)
assert len(demo.fns) == 1
assert "fn" in str(demo.fns[0])
@pytest.mark.asyncio
async def test_dict_inputs_in_config(self):
with gr.Blocks() as demo:
first = gr.Textbox()
last = gr.Textbox()
btn = gr.Button()
greeting = gr.Textbox()
def greet(data):
return f"Hello {data[first]} {data[last]}"
btn.click(greet, {first, last}, greeting)
result = await demo.process_api(
inputs=["huggy", "face"], block_fn=0, state=None
)
assert result["data"] == ["Hello huggy face"]
@pytest.mark.asyncio
async def test_async_function(self):
async def wait(x):
await asyncio.sleep(0.01)
return x
with gr.Blocks() as demo:
text = gr.Textbox()
button = gr.Button()
button.click(wait, [text], [text])
start = time.time()
result = await demo.process_api(inputs=[1], block_fn=0, state=None)
end = time.time()
difference = end - start
assert difference >= 0.01
assert result
@patch("gradio.analytics._do_analytics_request")
def test_initiated_analytics(self, mock_anlaytics, monkeypatch):
monkeypatch.setenv("GRADIO_ANALYTICS_ENABLED", "True")
with gr.Blocks():
pass
mock_anlaytics.assert_called_once()
@patch("gradio.analytics._do_analytics_request")
def test_launch_analytics_does_not_error_with_invalid_blocks(
self, mock_anlaytics, monkeypatch
):
monkeypatch.setenv("GRADIO_ANALYTICS_ENABLED", "True")
with gr.Blocks():
t1 = gr.Textbox()
with gr.Blocks() as demo:
t2 = gr.Textbox()
t2.change(lambda x: x, t2, t1)
demo.launch(prevent_thread_lock=True)
mock_anlaytics.assert_called()
def test_show_error(self):
with gr.Blocks() as demo:
pass
assert demo.show_error
demo.launch(prevent_thread_lock=True)
assert not demo.show_error
demo.close()
demo.launch(show_error=True, prevent_thread_lock=True)
assert demo.show_error
demo.close()
def test_custom_css(self):
css = """
.gr-button {
color: white;
border-color: black;
background: black;
}
"""
css = css * 5 # simulate a long css string
block = gr.Blocks(css=css)
assert block.css == css
@pytest.mark.asyncio
async def test_restart_after_close(self, connect):
io = gr.Interface(lambda s: s, gr.Textbox(), gr.Textbox()).queue()
with connect(io) as client:
assert client.predict("freddy", api_name="/predict") == "freddy"
# connect launches the interface which is what we need to test
with connect(io) as client:
assert client.predict("Victor", api_name="/predict") == "Victor"
@pytest.mark.asyncio
async def test_async_generators(self, connect):
async def async_iteration(count: int):
for i in range(count):
yield i
await asyncio.sleep(0.2)
def iteration(count: int):
for i in range(count):
yield i
time.sleep(0.2)
with gr.Blocks() as demo:
with gr.Row():
with gr.Column():
num1 = gr.Number(value=4, precision=0)
o1 = gr.Number()
async_iterate = gr.Button(value="Async Iteration")
async_iterate.click(
async_iteration,
num1,
o1,
concurrency_limit=2,
concurrency_id="main",
)
with gr.Column():
num2 = gr.Number(value=4, precision=0)
o2 = gr.Number()
iterate = gr.Button(value="Iterate")
iterate.click(iteration, num2, o2, concurrency_id="main")
with connect(demo) as client:
job_1 = client.submit(3, fn_index=0)
job_2 = client.submit(4, fn_index=1)
wait([job_1, job_2])
assert job_1.outputs()[-1] == 2
assert job_2.outputs()[-1] == 3
def test_async_generators_interface(self, connect):
async def async_iteration(count: int):
for i in range(count):
yield i
await asyncio.sleep(0.2)
demo = gr.Interface(
async_iteration, gr.Number(precision=0), gr.Number()
).queue()
outputs = []
with connect(demo) as client:
for output in client.submit(3, api_name="/predict"):
outputs.append(output)
assert outputs == [0, 1, 2]
def test_sync_generators(self, connect):
def generator(string):
yield from string
demo = gr.Interface(generator, "text", "text").queue()
outputs = []
with connect(demo) as client:
for output in client.submit("abc", api_name="/predict"):
outputs.append(output)
assert outputs == ["a", "b", "c"]
demo.queue().launch(prevent_thread_lock=True)
def test_varying_output_forms_with_generators(self, connect):
generations = [
{"a": 1},
{"a": 1, "b": [1, 3]},
{"b": [1, 3, 2]},
1,
2,
3,
[1, 2, {"x": 4, "y": 6}],
{"data": [1, 2, {"x": 4, "y": 6}]},
None,
1.2,
]
def generator():
yield from generations
def generator_random():
indices = list(range(len(generations)))
random.shuffle(indices)
for i in indices:
time.sleep(random.random() / 5)
yield generations[i]
with gr.Blocks() as demo:
btn1 = gr.Button()
btn2 = gr.Button()
output_json = gr.JSON()
btn1.click(generator, None, output_json, api_name="generator")
btn2.click(generator_random, None, output_json, api_name="generator_random")
with connect(demo) as client:
outputs = []
for output in client.submit(api_name="/generator"):
outputs.append(output)
assert outputs == generations
outputs = []
for output in client.submit(api_name="/generator_random"):
outputs.append(output)
for generation in generations:
assert generation in outputs
def test_socket_reuse(self):
try:
io = gr.Interface(lambda x: x, gr.Textbox(), gr.Textbox())
io.launch(server_port=9441, prevent_thread_lock=True)
io.close()
io.launch(server_port=9441, prevent_thread_lock=True)
finally:
io.close() # type: ignore
def test_function_types_documented_in_config(self):
def continuous_fn():
return 42
def generator_function():
yield from range(10)
with gr.Blocks() as demo:
gr.Number(value=lambda: 2, every=2)
meaning_of_life = gr.Number()
counter = gr.Number()
generator_btn = gr.Button(value="Generate")
greeting = gr.Textbox()
greet_btn = gr.Button(value="Greet")
greet_btn.click(lambda: "Hello!", inputs=None, outputs=[greeting])
generator_btn.click(generator_function, inputs=None, outputs=[counter])
demo.load(continuous_fn, inputs=None, outputs=[meaning_of_life])
assert "dependencies" in demo.config
dependencies = demo.config["dependencies"]
assert dependencies[0]["types"] == {
"generator": False,
"cancel": False,
}
assert dependencies[1]["types"] == {
"generator": True,
"cancel": False,
}
assert dependencies[2]["types"] == {
"generator": False,
"cancel": False,
}
assert dependencies[3]["types"] == {
"generator": False,
"cancel": False,
}
@patch(
"gradio.themes.ThemeClass.from_hub",
side_effect=ValueError("Something went wrong!"),
)
def test_use_default_theme_as_fallback(self, mock_from_hub):
with pytest.warns(
UserWarning, match="Cannot load freddyaboulton/this-theme-does-not-exist"
):
with gr.Blocks(theme="freddyaboulton/this-theme-does-not-exist") as demo:
assert demo.theme.to_dict() == gr.themes.Default().to_dict()
def test_exit_called_at_launch(self):
with gr.Blocks() as demo:
gr.Textbox(uuid.uuid4)
demo.launch(prevent_thread_lock=True)
config = demo.get_config_file()
assert "dependencies" in config
assert len(config["dependencies"]) == 1
class TestTempFile:
def test_pil_images_hashed(self, connect, gradio_temp_dir):
images = [
Image.new("RGB", (512, 512), color) for color in ("red", "green", "blue")
]
def create_images(n_images):
return random.sample(images, n_images)
gallery = gr.Gallery()
demo = gr.Interface(
create_images,
inputs="slider",
outputs=gallery,
)
with connect(demo) as client:
client.predict(3, api_name="/predict")
_ = client.predict(3, api_name="/predict")
# only three files created and in temp directory
assert len([f for f in gradio_temp_dir.glob("**/*") if f.is_file()]) == 3
def test_no_empty_image_files(self, gradio_temp_dir, connect):
file_dir = pathlib.Path(__file__).parent / "test_files"
image = grc.handle_file(str(file_dir / "bus.png"))
demo = gr.Interface(
lambda x: x,
inputs=gr.Image(type="filepath"),
outputs=gr.Image(),
)
with connect(demo) as client:
_ = client.predict(image, api_name="/predict")
_ = client.predict(image, api_name="/predict")
_ = client.predict(image, api_name="/predict")
# Upload creates a file. image preprocessing creates another one.
assert len([f for f in gradio_temp_dir.glob("**/*") if f.is_file()]) == 2
@pytest.mark.parametrize("component", [gr.UploadButton, gr.File])
def test_file_component_uploads(self, component, connect, gradio_temp_dir):
code_file = grc.handle_file(str(pathlib.Path(__file__)))
demo = gr.Interface(lambda x: x.name, component(), gr.File())
with connect(demo) as client:
_ = client.predict(code_file, api_name="/predict")
_ = client.predict(code_file, api_name="/predict")
# the upload route hashees the files so we get 1 from there
# We create two tempfiles (empty) because API says we return
# preprocess/postprocess will create the same file as the upload route
# so 1 + 2 = 3
assert len([f for f in gradio_temp_dir.glob("**/*") if f.is_file()]) == 3
def test_no_empty_video_files(self, gradio_temp_dir, connect):
file_dir = pathlib.Path(pathlib.Path(__file__).parent, "test_files")
video = grc.handle_file(str(file_dir / "video_sample.mp4"))
demo = gr.Interface(lambda x: x, gr.Video(), gr.Video())
with connect(demo) as client:
_ = client.predict({"video": video}, api_name="/predict")
_ = client.predict({"video": video}, api_name="/predict")
# Upload route and postprocessing return the same file
assert len([f for f in gradio_temp_dir.glob("**/*") if f.is_file()]) == 1
def test_no_empty_audio_files(self, gradio_temp_dir, connect):
file_dir = pathlib.Path(pathlib.Path(__file__).parent, "test_files")
audio = grc.handle_file(str(file_dir / "audio_sample.wav"))
def reverse_audio(audio):
sr, data = audio
return (sr, np.flipud(data))
demo = gr.Interface(fn=reverse_audio, inputs=gr.Audio(), outputs=gr.Audio())
with connect(demo) as client:
_ = client.predict(audio, api_name="/predict")
_ = client.predict(audio, api_name="/predict")
# One for upload and one for reversal
assert len([f for f in gradio_temp_dir.glob("**/*") if f.is_file()]) == 2
class TestComponentsInBlocks:
def test_slider_random_value_config(self):
with gr.Blocks() as demo:
gr.Slider(
value=11.2,
minimum=-10.2,
maximum=15,
label="Non-random Slider (Static)",
)
gr.Slider(
randomize=True,
minimum=100,
maximum=200,
label="Random Slider (Input 1)",
)
gr.Slider(
randomize=True,
minimum=10,
maximum=23.2,
label="Random Slider (Input 2)",
)
for component in demo.blocks.values():
if isinstance(component, gr.components.Component):
if "Non-random" in component.label: # type: ignore
assert not component.load_event_to_attach
else:
assert component.load_event_to_attach
assert "dependencies" in demo.config
dependencies_on_load = [
dep["targets"][0][1] == "load" for dep in demo.config["dependencies"]
]
assert all(dependencies_on_load)
assert len(dependencies_on_load) == 2
def test_io_components_attach_load_events_when_value_is_fn(self, io_components):
interface = gr.Interface(
lambda *args: None,
inputs=[comp(value=lambda: None, every=1) for comp in io_components],
outputs=None,
)
assert "dependencies" in interface.config
dependencies_on_load = [
dep
for dep in interface.config["dependencies"]
if "load" in [target[1] for target in dep["targets"]]
]
dependencies_on_tick = [
dep
for dep in interface.config["dependencies"]
if "tick" in [target[1] for target in dep["targets"]]
]
assert len(dependencies_on_load) == len(io_components)
assert len(dependencies_on_tick) == len(io_components)
def test_get_load_events(self, io_components):
components = []
with gr.Blocks() as demo:
for component in io_components:
components.append(component(value=lambda: None, every=1))
assert "dependencies" in demo.config
assert all(
comp.load_event in demo.config["dependencies"] for comp in components
)
class TestBlocksPostprocessing:
@pytest.mark.asyncio
async def test_blocks_do_not_filter_none_values_from_updates(self, io_components):
io_components = [
c()
for c in io_components
if c
not in [
gr.State,
gr.Button,
gr.ScatterPlot,
gr.LinePlot,
gr.BarPlot,
gr.components.Fallback,
gr.FileExplorer,
gr.ParamViewer,
]
]
with gr.Blocks() as demo:
for component in io_components:
component.render()
btn = gr.Button(value="Reset")
btn.click(
lambda: [gr.update(value=None) for _ in io_components],
inputs=[],
outputs=io_components,
)
output = await demo.postprocess_data(
demo.fns[0], [gr.update(value=None) for _ in io_components], state=None
)
def process_and_dump(component):
output = component.postprocess(None)
if isinstance(output, (GradioModel, GradioRootModel)):
output = output.model_dump()
return output
assert all(
o["value"] == process_and_dump(c)
for o, c in zip(output, io_components, strict=False)
)
@pytest.mark.asyncio
async def test_blocks_does_not_replace_keyword_literal(self):
with gr.Blocks() as demo:
text = gr.Textbox()
btn = gr.Button(value="Reset")
btn.click(
lambda: gr.update(value="NO_VALUE"),
inputs=[],
outputs=text,
)
output = await demo.postprocess_data(
demo.fns[0], gr.update(value="NO_VALUE"), state=None
)
assert output[0]["value"] == "NO_VALUE"
@pytest.mark.asyncio
async def test_blocks_does_not_del_dict_keys_inplace(self):
with gr.Blocks() as demo:
im_list = [gr.Image() for i in range(2)]
def change_visibility(value):
return [gr.update(visible=value)] * 2
checkbox = gr.Checkbox(value=True, label="Show image")
checkbox.change(change_visibility, inputs=checkbox, outputs=im_list)
output = await demo.postprocess_data(
demo.fns[0], [gr.update(visible=False)] * 2, state=None
)
assert output == [
{"visible": False, "__type__": "update"},
{"visible": False, "__type__": "update"},
]
@pytest.mark.asyncio
async def test_blocks_returns_correct_output_dict_single_key(self):
with gr.Blocks() as demo:
num = gr.Number()
num2 = gr.Number()
update = gr.Button(value="update")
def update_values(val):
return {num2: gr.Number(value=42)}
update.click(update_values, inputs=[num], outputs=[num2])
output = await demo.postprocess_data(
demo.fns[0], {num2: gr.Number(value=42)}, state=None
)
assert output[0]["value"] == 42
output = await demo.postprocess_data(demo.fns[0], {num2: 23}, state=None)
assert output[0] == 23
@pytest.mark.asyncio
async def test_blocks_update_dict_without_postprocessing(self):
def infer(x):
return media_data.BASE64_IMAGE, gr.update(visible=True)
with gr.Blocks() as demo:
prompt = gr.Textbox()
image = gr.Image()
run_button = gr.Button()
share_button = gr.Button("share", visible=False)
run_button.click(infer, prompt, [image, share_button], postprocess=False)
output = await demo.process_api(0, ["test"], state=None)
assert output["data"][0] == media_data.BASE64_IMAGE
assert output["data"][1] == {"__type__": "update", "visible": True}
@pytest.mark.asyncio
async def test_blocks_update_dict_does_not_postprocess_value_if_postprocessing_false(
self,
):
def infer(x):
return gr.Image(value=media_data.BASE64_IMAGE)
with gr.Blocks() as demo:
prompt = gr.Textbox()
image = gr.Image()
run_button = gr.Button()
run_button.click(infer, [prompt], [image], postprocess=False)
output = await demo.process_api(0, ["test"], state=None)
assert output["data"][0] == {
"__type__": "update",
"value": media_data.BASE64_IMAGE,
}
@pytest.mark.asyncio
async def test_blocks_update_interactive(
self,
):
def specific_update():
return [
gr.Image(interactive=True),
gr.Textbox(interactive=True),
]
def generic_update():
return [gr.update(interactive=True), gr.update(interactive=True)]
with gr.Blocks() as demo:
run = gr.Button(value="Make interactive")
image = gr.Image()
textbox = gr.Text()
run.click(specific_update, None, [image, textbox])
run.click(generic_update, None, [image, textbox])
for fn_index in range(2):
output = await demo.process_api(fn_index, [], state=None)
assert output["data"][0] == {
"__type__": "update",
"interactive": True,
}
assert output["data"][1] == {"__type__": "update", "interactive": True}
@pytest.mark.asyncio
async def test_error_raised_if_num_outputs_is_too_low(self):
with gr.Blocks() as demo:
textbox1 = gr.Textbox()
textbox2 = gr.Textbox()
button = gr.Button()
button.click(lambda x: x, textbox1, [textbox1, textbox2])
with pytest.raises(
ValueError,
):
await demo.postprocess_data(demo.fns[0], predictions=["test"], state=None)
@pytest.mark.asyncio
async def test_warning_raised_if_num_outputs_is_too_high(self):
with gr.Blocks() as demo:
textbox1 = gr.Textbox()
textbox2 = gr.Textbox()
button = gr.Button()
button.click(lambda x: (x, x), textbox1, [textbox1, textbox2])
with pytest.warns(
UserWarning,
):
await demo.postprocess_data(
demo.fns[0], predictions=["test", "test2", "test3"], state=None
)
@pytest.mark.asyncio
async def test_error_raised_if_num_outputs_mismatch_with_function_name(self):
def infer(x):
return x
with gr.Blocks() as demo:
textbox1 = gr.Textbox()
textbox2 = gr.Textbox()
button = gr.Button()
button.click(infer, textbox1, [textbox1, textbox2])
with pytest.raises(
ValueError,
):
await demo.postprocess_data(demo.fns[0], predictions=["test"], state=None)
@pytest.mark.asyncio
async def test_error_raised_if_num_outputs_mismatch_single_output(self):
with gr.Blocks() as demo:
num1 = gr.Number()
num2 = gr.Number()
btn = gr.Button(value="1")
btn.click(lambda a: a, num1, [num1, num2])
with pytest.raises(
ValueError,
):
await demo.postprocess_data(demo.fns[0], predictions=[1], state=None)
@pytest.mark.asyncio
async def test_error_raised_if_num_outputs_mismatch_tuple_output(self):
def infer(a, b):
return a, b
with gr.Blocks() as demo:
num1 = gr.Number()
num2 = gr.Number()
num3 = gr.Number()
btn = gr.Button(value="1")
btn.click(infer, num1, [num1, num2, num3])
with pytest.raises(
ValueError,
):
await demo.postprocess_data(demo.fns[0], predictions=[1, 2], state=None)
@pytest.mark.asyncio
async def test_dataset_is_updated(self):
def update(value):
return value, gr.Dataset(samples=[["New A"], ["New B"]])
with gr.Blocks() as demo:
with gr.Row():
textbox = gr.Textbox()
dataset = gr.Dataset(
components=["text"], samples=[["Original"]], label="Saved Prompts"
)
dataset.click(update, inputs=[dataset], outputs=[textbox, dataset])
app, _, _ = demo.launch(prevent_thread_lock=True)
client = TestClient(app)
session_1 = client.post(
f"{API_PREFIX}/api/predict/",
json={"data": [0], "session_hash": "1", "fn_index": 0},
)
assert "Original" in session_1.json()["data"][0]
session_2 = client.post(
f"{API_PREFIX}/api/predict/",
json={"data": [0], "session_hash": "1", "fn_index": 0},
)
assert "New" in session_2.json()["data"][0]
class TestStateHolder:
@pytest.mark.asyncio
async def test_state_stored_up_to_capacity(self):
with gr.Blocks() as demo:
num = gr.Number()
state = gr.State(value=0)
def run(x, s):
return s, s + 1
num.submit(
run,
inputs=[num, state],
outputs=[num, state],
)
app, _, _ = demo.launch(prevent_thread_lock=True, state_session_capacity=2)
client = TestClient(app)
session_1 = client.post(
f"{API_PREFIX}/api/predict/",
json={"data": [1, None], "session_hash": "1", "fn_index": 0},
)
assert session_1.json()["data"][0] == 0
session_2 = client.post(
f"{API_PREFIX}/api/predict/",
json={"data": [1, None], "session_hash": "2", "fn_index": 0},
)
assert session_2.json()["data"][0] == 0
session_1 = client.post(
f"{API_PREFIX}/api/predict/",
json={"data": [1, None], "session_hash": "1", "fn_index": 0},
)
assert session_1.json()["data"][0] == 1
session_2 = client.post(
f"{API_PREFIX}/api/predict/",
json={"data": [1, None], "session_hash": "2", "fn_index": 0},
)
assert session_2.json()["data"][0] == 1
session_3 = client.post(
f"{API_PREFIX}/api/predict/",
json={"data": [1, None], "session_hash": "3", "fn_index": 0},
)
assert session_3.json()["data"][0] == 0
session_2 = client.post(
f"{API_PREFIX}/api/predict/",
json={"data": [1, None], "session_hash": "2", "fn_index": 0},
)
assert session_2.json()["data"][0] == 2
session_1 = client.post(
f"{API_PREFIX}/api/predict/",
json={"data": [1, None], "session_hash": "1", "fn_index": 0},
)
assert (
session_1.json()["data"][0] == 0
) # state was lost for session 1 when session 3 was added, since state_session_capacity=2
@pytest.mark.asyncio
async def test_updates_stored_up_to_capacity(self):
with gr.Blocks() as demo:
min = gr.Number()
num = gr.Number()
def run(min, num):
return min, gr.Number(value=num, minimum=min)
num.submit(
run,
inputs=[min, num],
outputs=[min, num],
)
app, _, _ = demo.launch(prevent_thread_lock=True, state_session_capacity=2)
client = TestClient(app)
session_1 = client.post(
f"{API_PREFIX}/api/predict/",
json={"data": [5, 5], "session_hash": "1", "fn_index": 0},
)
assert session_1.json()["data"][0] == 5
session_1 = client.post(
f"{API_PREFIX}/api/predict/",
json={"data": [2, 2], "session_hash": "1", "fn_index": 0},
)
assert "error" in session_1.json() # error because min is 5 and num is 2
session_2 = client.post(
f"{API_PREFIX}/api/predict/",
json={"data": [5, 5], "session_hash": "2", "fn_index": 0},
)
assert session_2.json()["data"][0] == 5
session_3 = client.post(
f"{API_PREFIX}/api/predict/",
json={"data": [5, 5], "session_hash": "3", "fn_index": 0},
)
assert session_3.json()["data"][0] == 5
session_1 = client.post(
f"{API_PREFIX}/api/predict/",
json={"data": [2, 2], "session_hash": "1", "fn_index": 0},
)
assert (
"error" not in session_1.json()
) # no error because sesssion 1 block config was lost when session 3 was added
def test_state_holder_is_used_in_postprocess(self, connect):
with gr.Blocks() as demo:
dropdown = gr.Dropdown(label="list", choices=["Choice 1"], interactive=True)
button = gr.Button("Get dropdown value")
button2 = gr.Button("Convert dropdown to multiselect")
button.click(
lambda x: x, inputs=dropdown, outputs=dropdown, api_name="predict"
)
button2.click(
lambda: gr.Dropdown(multiselect=True),
outputs=dropdown,
api_name="set_multiselect",
)
client: Client
with connect(demo) as client:
assert client.predict("Choice 1", api_name="/predict") == "Choice 1"
client.predict(api_name="/set_multiselect")
assert client.predict("Choice 1", api_name="/predict") == ["Choice 1"]
class TestCallFunction:
@pytest.mark.asyncio
async def test_call_regular_function(self):
with gr.Blocks() as demo:
text = gr.Textbox()
btn = gr.Button()
btn.click(
lambda x: f"Hello, {x}",
inputs=text,
outputs=text,
)
output = await demo.call_function(0, ["World"])
assert output["prediction"] == "Hello, World"
output = demo("World")
assert output == "Hello, World"
output = await demo.call_function(0, ["Abubakar"])
assert output["prediction"] == "Hello, Abubakar"
@pytest.mark.asyncio
async def test_call_multiple_functions(self):
with gr.Blocks() as demo:
text = gr.Textbox()
text2 = gr.Textbox()
btn = gr.Button()
btn.click(
lambda x: f"Hello, {x}",
inputs=text,
outputs=text,
)
text.change(
lambda x: f"Hi, {x}",
inputs=text,
outputs=text2,
)
output = await demo.call_function(0, ["World"])
assert output["prediction"] == "Hello, World"
output = demo("World")
assert output == "Hello, World"
output = await demo.call_function(1, ["World"])
assert output["prediction"] == "Hi, World"
output = demo("World", fn_index=1) # fn_index must be a keyword argument
assert output == "Hi, World"
@pytest.mark.asyncio
async def test_call_decorated_functions(self):
with gr.Blocks() as demo:
name = gr.Textbox(value="Abubakar")
output = gr.Textbox(label="Output Box")
@name.submit(inputs=name, outputs=output)
@demo.load(inputs=name, outputs=output)
def test(x):
return "Hello " + x
output = await demo.call_function(0, ["Adam"])
assert output["prediction"] == "Hello Adam"
output = await demo.call_function(1, ["Adam"])
assert output["prediction"] == "Hello Adam"
@pytest.mark.asyncio
async def test_call_generator(self):
def generator(x):
yield from range(x)
with gr.Blocks() as demo:
inp = gr.Number()
out = gr.Number()
btn = gr.Button()
btn.click(
generator,
inputs=inp,
outputs=out,
)
demo.queue()
assert demo.config["enable_queue"]
output = await demo.call_function(0, [3])
assert output["prediction"] == 0
output = await demo.call_function(0, [3], iterator=output["iterator"])
assert output["prediction"] == 1
output = await demo.call_function(0, [3], iterator=output["iterator"])
assert output["prediction"] == 2
output = await demo.call_function(0, [3], iterator=output["iterator"])
assert output["prediction"] == gr.components._Keywords.FINISHED_ITERATING
assert output["iterator"] is None
output = await demo.call_function(0, [3], iterator=output["iterator"])
assert output["prediction"] == 0
@pytest.mark.asyncio
async def test_call_both_generator_and_function(self):
def generator(x):
for i in range(x):
yield i, x
with gr.Blocks() as demo:
inp = gr.Number()
out1 = gr.Number()
out2 = gr.Number()
btn = gr.Button()
inp.change(lambda x: x + x, inp, out1)
btn.click(
generator,
inputs=inp,
outputs=[out1, out2],
)
demo.queue()
output = await demo.call_function(0, [2])
assert output["prediction"] == 4
output = await demo.call_function(0, [-1])
assert output["prediction"] == -2
output = await demo.call_function(1, [3])
assert output["prediction"] == (0, 3)
output = await demo.call_function(1, [3], iterator=output["iterator"])
assert output["prediction"] == (1, 3)
output = await demo.call_function(1, [3], iterator=output["iterator"])
assert output["prediction"] == (2, 3)
output = await demo.call_function(1, [3], iterator=output["iterator"])
assert output["prediction"] == (gr.components._Keywords.FINISHED_ITERATING,) * 2
assert output["iterator"] is None
output = await demo.call_function(1, [3], iterator=output["iterator"])
assert output["prediction"] == (0, 3)
class TestBatchProcessing:
def test_raise_exception_if_batching_an_event_thats_not_queued(self):
def trim(words, lens):
trimmed_words = [
word[: int(length)] for word, length in zip(words, lens, strict=False)
]
return [trimmed_words]
msg = "In order to use batching, the queue must be enabled."
with pytest.raises(ValueError, match=msg):
with gr.Blocks() as demo:
with gr.Row():
word = gr.Textbox(label="word")
leng = gr.Number(label="leng")
output = gr.Textbox(label="Output")
with gr.Row():
run = gr.Button()
run.click(
trim,
[word, leng],
output,
batch=True,
max_batch_size=16,
queue=False,
)
demo.queue()
demo.launch(prevent_thread_lock=True)
@pytest.mark.asyncio
async def test_call_regular_function(self):
def batch_fn(x):
results = []
for word in x:
results.append(f"Hello {word}")
return (results,)
with gr.Blocks() as demo:
text = gr.Textbox()
btn = gr.Button()
btn.click(batch_fn, inputs=text, outputs=text, batch=True)
output = await demo.call_function(0, [["Adam", "Yahya"]])
assert output["prediction"][0] == ["Hello Adam", "Hello Yahya"]
output = demo("Abubakar")
assert output == "Hello Abubakar"
@pytest.mark.asyncio
async def test_functions_multiple_parameters(self):
def regular_fn(word1, word2):
return len(word1) > len(word2)
def batch_fn(words, lengths):
comparisons = []
trim_words = []
for word, length in zip(words, lengths, strict=False):
trim_words.append(word[:length])
comparisons.append(len(word) > length)
return trim_words, comparisons
with gr.Blocks() as demo:
text1 = gr.Textbox()
text2 = gr.Textbox()
leng = gr.Number(precision=0)
bigger = gr.Checkbox()
btn1 = gr.Button("Check")
btn2 = gr.Button("Trim")
btn1.click(regular_fn, inputs=[text1, text2], outputs=bigger)
btn2.click(
batch_fn,
inputs=[text1, leng],
outputs=[text1, bigger],
batch=True,
)
output = await demo.call_function(0, ["Adam", "Yahya"])
assert output["prediction"] is False
output = demo("Abubakar", "Abid")
assert output
output = await demo.call_function(1, [["Adam", "Mary"], [3, 5]])
assert output["prediction"] == (
["Ada", "Mary"],
[True, False],
)
output = demo("Abubakar", 3, fn_index=1)
assert output == ["Abu", True]
@pytest.mark.asyncio
async def test_invalid_batch_generator(self):
with pytest.raises(ValueError):
def batch_fn(x):
results = []
for word in x:
results.append(f"Hello {word}")
yield (results,)
with gr.Blocks() as demo:
text = gr.Textbox()
btn = gr.Button()
btn.click(batch_fn, inputs=text, outputs=text, batch=True)
await demo.process_api(0, [["Adam", "Yahya"]], state=None)
@pytest.mark.asyncio
async def test_exceeds_max_batch_size(self):
with pytest.raises(ValueError):
def batch_fn(x):
results = []
for word in x:
results.append(f"Hello {word}")
return (results,)
with gr.Blocks() as demo:
text = gr.Textbox()
btn = gr.Button()
btn.click(
batch_fn, inputs=text, outputs=text, batch=True, max_batch_size=2
)
await demo.process_api(0, [["A", "B", "C"]], state=None)
@pytest.mark.asyncio
async def test_unequal_batch_sizes(self):
with pytest.raises(ValueError):
def batch_fn(x, y):
results = []
for word1, word2 in zip(x, y, strict=False):
results.append(f"Hello {word1}{word2}")
return (results,)
with gr.Blocks() as demo:
t1 = gr.Textbox()
t2 = gr.Textbox()
btn = gr.Button()
btn.click(batch_fn, inputs=[t1, t2], outputs=t1, batch=True)
await demo.process_api(0, [["A", "B", "C"], ["D", "E"]], state=None)
class TestUpdate:
@pytest.mark.asyncio
async def test_accordion_update(self):
with gr.Blocks() as demo:
with gr.Accordion(label="Open for greeting", open=False) as accordion:
gr.Textbox("Hello!")
open_btn = gr.Button("Open Accordion")
close_btn = gr.Button("Close Accordion")
open_btn.click(
lambda: gr.Accordion(open=True, label="Open Accordion"),
inputs=None,
outputs=[accordion],
)
close_btn.click(
lambda: gr.Accordion(open=False, label="Closed Accordion"),
inputs=None,
outputs=[accordion],
)
result = await demo.process_api(
block_fn=0, inputs=[None], request=None, state=None
)
assert result["data"][0] == {
"open": True,
"label": "Open Accordion",
"__type__": "update",
}
result = await demo.process_api(
block_fn=1, inputs=[None], request=None, state=None
)
assert result["data"][0] == {
"open": False,
"label": "Closed Accordion",
"__type__": "update",
}
@pytest.mark.asyncio
async def test_root_path():
image_file = pathlib.Path(__file__).parent / "test_files" / "bus.png"
demo = gr.Interface(lambda x: image_file, "textbox", "image")
result = await demo.process_api(block_fn=0, inputs=[""], request=None, state=None)
result_url = result["data"][0]["url"]
assert result_url.startswith(f"{API_PREFIX}/file=")
assert result_url.endswith("bus.png")
result = await demo.process_api(
block_fn=0, inputs=[""], request=None, state=None, root_path="abidlabs.hf.space"
)
result_url = result["data"][0]["url"]
assert result_url.startswith(f"abidlabs.hf.space{API_PREFIX}/file=")
assert result_url.endswith("bus.png")
class TestRender:
def test_duplicate_error(self):
with pytest.raises(DuplicateBlockError):
t = gr.Textbox()
with gr.Blocks():
t.render()
gr.Number()
t.render()
with pytest.raises(DuplicateBlockError):
with gr.Blocks():
t = gr.Textbox()
t.render()
with pytest.raises(DuplicateBlockError):
io = gr.Interface(lambda x: x, gr.Textbox(), gr.Textbox())
with gr.Blocks():
io.render()
io.render()
with pytest.raises(DuplicateBlockError):
t = gr.Textbox()
io = gr.Interface(lambda x: x, t, gr.Textbox())
with gr.Blocks():
io.render()
t.render()
def test_no_error(self):
t = gr.Textbox()
t2 = gr.Textbox()
with gr.Blocks():
t.render()
t3 = t2.render()
assert t2 == t3
t = gr.Textbox()
io = gr.Interface(lambda x: x, t, gr.Textbox())
with gr.Blocks():
io.render()
gr.Textbox()
io = gr.Interface(lambda x: x, gr.Textbox(), gr.Textbox())
io2 = gr.Interface(lambda x: x, gr.Textbox(), gr.Textbox())
with gr.Blocks():
io.render()
io3 = io2.render()
assert io2 == io3
def test_is_rendered(self):
t = gr.Textbox()
with gr.Blocks():
pass
assert not t.is_rendered
t = gr.Textbox()
with gr.Blocks():
t.render()
assert t.is_rendered
t = gr.Textbox()
with gr.Blocks():
t.render()
t.unrender()
assert not t.is_rendered
with gr.Blocks():
t = gr.Textbox()
assert t.is_rendered
with gr.Blocks():
t = gr.Textbox()
with gr.Blocks():
pass
assert t.is_rendered
t = gr.Textbox()
gr.Interface(lambda x: x, "textbox", t)
assert t.is_rendered
def test_no_error_if_state_rendered_multiple_times(self):
state = gr.State("")
gr.TabbedInterface(
[
gr.Interface(
lambda _, x: (x, "I don't know"),
inputs=[state, gr.Textbox()],
outputs=[state, gr.Textbox()],
),
gr.Interface(
lambda s: (s, f"User question: {s}"),
inputs=[state],
outputs=[state, gr.Textbox(interactive=False)],
),
],
["Ask question", "Show question"],
)
class TestCancel:
@pytest.mark.asyncio
async def test_cancel_function(self, capsys):
async def long_job():
await asyncio.sleep(10)
print("HELLO FROM LONG JOB")
with gr.Blocks():
button = gr.Button(value="Start")
click = button.click(long_job, None, None)
cancel = gr.Button(value="Cancel")
cancel.click(None, None, None, cancels=[click])
task = asyncio.create_task(long_job())
task.set_name("foo_0<gradio-sep>event")
# If cancel_fun didn't cancel long_job the message would be printed to the console
# The test would also take 10 seconds
await asyncio.gather(task, cancel_tasks({"foo_0"}), return_exceptions=True)
captured = capsys.readouterr()
assert "HELLO FROM LONG JOB" not in captured.out
@pytest.mark.asyncio
async def test_cancel_function_with_multiple_blocks(self, capsys):
async def long_job():
await asyncio.sleep(10)
print("HELLO FROM LONG JOB")
with gr.Blocks() as demo1:
textbox = gr.Textbox()
button1 = gr.Button(value="Start")
button1.click(lambda x: x, textbox, textbox)
with gr.Blocks() as demo2:
button2 = gr.Button(value="Start")
click = button2.click(long_job, None, None)
cancel = gr.Button(value="Cancel")
cancel.click(None, None, None, cancels=[click])
with gr.Blocks():
with gr.Tab("Demo 1"):
demo1.render()
with gr.Tab("Demo 2"):
demo2.render()
task = asyncio.create_task(long_job())
task.set_name("foo_1<gradio-sep>event")
await asyncio.gather(task, cancel_tasks({"foo_1"}), return_exceptions=True)
captured = capsys.readouterr()
assert "HELLO FROM LONG JOB" not in captured.out
def test_raise_exception_if_cancelling_an_event_thats_not_queued(self):
def iteration(a):
yield a
msg = "Queue needs to be enabled!"
with pytest.raises(ValueError, match=msg):
with gr.Blocks() as demo:
button = gr.Button(value="Predict")
click = button.click(None, None, None)
cancel = gr.Button(value="Cancel")
cancel.click(None, None, None, cancels=[click], queue=False)
demo.launch(prevent_thread_lock=True)
with pytest.raises(ValueError, match=msg):
with gr.Blocks() as demo:
button = gr.Button(value="Predict")
click = button.click(None, None, None, queue=False)
cancel = gr.Button(value="Cancel")
cancel.click(None, None, None, cancels=[click])
demo.queue().launch(prevent_thread_lock=True)
class TestGetAPIInfo:
def test_many_endpoints(self):
with gr.Blocks() as demo:
t1 = gr.Textbox()
t2 = gr.Textbox()
t3 = gr.Textbox()
t4 = gr.Textbox()
t5 = gr.Textbox()
t1.change(lambda x: x, t1, t2, api_name="change1")
t2.change(lambda x: x, t2, t3, api_name="change2")
t3.change(lambda x: x, t3, t4, api_name=False)
t4.change(lambda x: x, t4, t5, api_name=False)
api_info = demo.get_api_info()
assert api_info
assert len(api_info["named_endpoints"]) == 2
assert len(api_info["unnamed_endpoints"]) == 0
def test_no_endpoints(self):
with gr.Blocks() as demo:
t1 = gr.Textbox()
t2 = gr.Textbox()
t1.change(lambda x: x, t1, t2, api_name=False)
api_info = demo.get_api_info()
assert api_info
assert len(api_info["named_endpoints"]) == 0
assert len(api_info["unnamed_endpoints"]) == 0
class TestAddRequests:
def test_no_type_hints(self):
def moo(a, b):
return a + b
inputs = [1, 2]
request = gr.Request()
inputs_ = helpers.special_args(moo, copy.deepcopy(inputs), request)[0]
assert inputs_ == inputs
boo = partial(moo, a=1)
inputs = [2]
inputs_ = helpers.special_args(boo, copy.deepcopy(inputs), request)[0]
assert inputs_ == inputs
def test_no_type_hints_with_request(self):
def moo(a: str, b: int):
return a + str(b)
inputs = ["abc", 2]
request = gr.Request()
inputs_ = helpers.special_args(moo, copy.deepcopy(inputs), request)[0]
assert inputs_ == inputs
boo = partial(moo, a="def")
inputs = [2]
inputs_ = helpers.special_args(boo, copy.deepcopy(inputs), request)[0]
assert inputs_ == inputs
def test_type_hints_with_request(self):
def moo2(a: str, b: gr.Request):
return a
inputs = ["abc"]
request = gr.Request()
inputs_ = helpers.special_args(moo2, copy.deepcopy(inputs), request)[0]
assert inputs_ == inputs + [request]
def moo(a: gr.Request, b, c: int):
return c
inputs = ["abc", 5]
request = gr.Request()
inputs_ = helpers.special_args(moo, copy.deepcopy(inputs), request)[0]
assert inputs_ == [request] + inputs
def test_type_hints_with_multiple_requests(self):
def moo2(a: str, b: gr.Request, c: gr.Request):
return a
inputs = ["abc"]
request = gr.Request()
inputs_ = helpers.special_args(moo2, copy.deepcopy(inputs), request)[0]
assert inputs_ == inputs + [request, request]
def moo(a: gr.Request, b, c: int, d: gr.Request):
return c
inputs = ["abc", 5]
request = gr.Request()
inputs_ = helpers.special_args(moo, copy.deepcopy(inputs), request)[0]
assert inputs_ == [request] + inputs + [request]
def test_default_args(self):
def moo(a, b, c=42):
return a + b + c
inputs = [1, 2]
request = gr.Request()
inputs_ = helpers.special_args(moo, copy.deepcopy(inputs), request)[0]
assert inputs_ == inputs + [42]
inputs = [1, 2, 24]
request = gr.Request()
inputs_ = helpers.special_args(moo, copy.deepcopy(inputs), request)[0]
assert inputs_ == inputs
def test_default_args_with_progress(self):
pr = gr.Progress()
def moo2(a, b, c=42, pr=pr):
return a + b + c
inputs = [1, 2]
request = gr.Request()
inputs_, progress_index, _ = helpers.special_args(
moo2, copy.deepcopy(inputs), request
)
assert inputs_ == inputs + [42, pr]
assert progress_index == 3
inputs = [1, 2, 24]
request = gr.Request()
inputs_, progress_index, _ = helpers.special_args(
moo2, copy.deepcopy(inputs), request
)
assert inputs_ == inputs + [pr]
assert progress_index == 3
def moo(a, b, pr=pr, c=42):
return a + b + c
inputs = [1, 2]
request = gr.Request()
inputs_, progress_index, _ = helpers.special_args(
moo, copy.deepcopy(inputs), request
)
assert inputs_ == inputs + [pr, 42]
assert progress_index == 2
def test_default_args_with_request(self):
pr = gr.Progress()
def moo2(a, b, req: gr.Request, c=42):
return a + b + c
inputs = [1, 2]
request = gr.Request()
inputs_ = helpers.special_args(moo2, copy.deepcopy(inputs), request)[0]
assert inputs_ == inputs + [request, 42]
def moo(a, b, req: gr.Request, c=42, pr=pr):
return a + b + c
inputs = [1, 2]
request = gr.Request()
inputs_, progress_index, _ = helpers.special_args(
moo, copy.deepcopy(inputs), request
)
assert inputs_ == inputs + [request, 42, pr]
assert progress_index == 4
def test_default_args_with_event_data(self):
pr = gr.Progress()
target = gr.Textbox()
def moo(a, b, ed: SelectData, c=42):
return a + b + c
event_data = SelectData(target=target, data={"index": 24, "value": "foo"})
inputs = [1, 2]
request = gr.Request()
inputs_ = helpers.special_args(moo, copy.deepcopy(inputs), request, event_data)[
0
]
assert len(inputs_) == 4
new_event_data = inputs_[2]
assert inputs_ == inputs + [new_event_data, 42]
assert isinstance(new_event_data, SelectData)
assert new_event_data.target == target
assert new_event_data.index == 24
assert new_event_data.value == "foo"
def moo2(a, b, ed: SelectData, c=42, pr=pr):
return a + b + c
inputs = [1, 2]
request = gr.Request()
inputs_, progress_index, _ = helpers.special_args(
moo2, copy.deepcopy(inputs), request, event_data
)
assert len(inputs_) == 5
new_event_data = inputs_[2]
assert inputs_ == inputs + [new_event_data, 42, pr]
assert progress_index == 4
assert isinstance(new_event_data, SelectData)
assert new_event_data.target == target
assert new_event_data.index == 24
assert new_event_data.value == "foo"
@pytest.mark.asyncio
async def test_queue_when_using_auth():
sleep_time = 1
async def say_hello(name):
await asyncio.sleep(sleep_time)
return f"Hello {name}!"
with gr.Blocks() as demo:
_input = gr.Textbox()
_output = gr.Textbox()
button = gr.Button()
button.click(say_hello, _input, _output)
demo.queue()
app, _, _ = demo.launch(auth=("abc", "123"), prevent_thread_lock=True)
with pytest.raises(ValueError):
grc.Client(f"http://localhost:{demo.server_port}")
client = grc.Client(f"http://localhost:{demo.server_port}", auth=("abc", "123"))
jobs = []
for i in range(3):
jobs.append(client.submit(f"World {i}", fn_index=0))
for i, job in enumerate(jobs):
assert job.result() == f"Hello World {i}!"
def test_temp_file_sets_get_extended():
test_file_dir = pathlib.Path(pathlib.Path(__file__).parent, "test_files")
with gr.Blocks() as demo1:
gr.Video(str(test_file_dir / "video_sample.mp4"))
with gr.Blocks() as demo2:
gr.Audio(str(test_file_dir / "audio_sample.wav"))
with gr.Blocks() as demo3:
demo1.render()
demo2.render()
# The upload_set is empty so we remove it from the check
demo_3_no_empty = [s for s in demo3.temp_file_sets if len(s)]
demo_1_and_2_no_empty = [
s for s in demo1.temp_file_sets + demo2.temp_file_sets if len(s)
]
assert demo_3_no_empty == demo_1_and_2_no_empty
def test_recover_kwargs():
audio = gr.Audio(format="wav", autoplay=True)
props = audio.recover_kwargs(
{"format": "wav", "value": "foo.wav", "autoplay": False, "foo": "bar"}
)
assert props == {"format": "wav", "value": "foo.wav", "autoplay": False}
props = audio.recover_kwargs(
{"format": "wav", "value": "foo.wav", "autoplay": False, "foo": "bar"},
["value"],
)
assert props == {"format": "wav", "autoplay": False}
def test_postprocess_update_dict():
block = gr.Textbox()
update_dict = {"value": 2.0, "visible": True, "invalid_arg": "hello"}
assert blocks.postprocess_update_dict(block, update_dict, True) == {
"__type__": "update",
"value": "2.0",
"visible": True,
}
block = gr.Textbox(lines=10)
update_dict = {"value": 2.0, "lines": 10}
assert blocks.postprocess_update_dict(block, update_dict, False) == {
"__type__": "update",
"value": 2.0,
"lines": 10,
}
block = gr.Dropdown(choices=["New Country A", "New Country B"])
update_dict = {
"value": "New Country A",
"choices": ["New Country A", "New Country B"],
}
assert blocks.postprocess_update_dict(block, update_dict, False) == {
"__type__": "update",
"value": "New Country A",
"choices": [
("New Country A", "New Country A"),
("New Country B", "New Country B"),
],
}
def test_async_iterator_update_with_new_component(connect):
async def get_number_stream():
for i in range(10):
yield gr.Number(value=i, label="Number (updates every second)")
await asyncio.sleep(0.1)
demo = gr.Interface(fn=get_number_stream, inputs=None, outputs=["number"])
demo.queue()
with connect(demo) as client:
job = client.submit(api_name="/predict")
job.result()
assert [r["value"] for r in job.outputs()] == list(range(10))
def test_emptry_string_api_name_gets_set_as_fn_name():
def test_fn(x):
return x
with gr.Blocks() as demo:
t1 = gr.Textbox()
t2 = gr.Textbox()
t1.change(test_fn, t1, t2, api_name="")
assert demo.fns[0].api_name == "test_fn"
@pytest.mark.asyncio
async def test_blocks_postprocessing_with_copies_of_component_instance():
# Test for: https://github.com/gradio-app/gradio/issues/6608
with gr.Blocks() as demo:
chatbot = gr.Chatbot()
chatbot2 = gr.Chatbot()
chatbot3 = gr.Chatbot()
clear = gr.Button("Clear")
def clear_func():
return tuple([gr.Chatbot(value=[])] * 3)
clear.click(
fn=clear_func, outputs=[chatbot, chatbot2, chatbot3], api_name="clear"
)
output = await demo.postprocess_data(
demo.fns[0], [gr.Chatbot(value=[])] * 3, None
)
assert output == [{"value": [], "__type__": "update"}] * 3
def test_static_files_single_app(connect, gradio_temp_dir):
gr.set_static_paths(
paths=["test/test_files/cheetah1.jpg", "test/test_files/bus.png"]
)
demo = gr.Interface(
lambda s: s.rotate(45),
gr.Image(value="test/test_files/cheetah1.jpg", type="pil"),
gr.Image(),
examples=["test/test_files/bus.png"],
)
# Nothing got saved to cache
assert len(list(gradio_temp_dir.glob("**/*.*"))) == 0
with connect(demo) as client:
client.predict(grc.handle_file("test/test_files/bus.png"))
# Input/Output got saved to cache
assert len(list(gradio_temp_dir.glob("**/*.*"))) == 2
def test_static_files_multiple_apps(gradio_temp_dir):
gr.set_static_paths(paths=["test/test_files/cheetah1.jpg"])
demo = gr.Interface(
lambda s: s.rotate(45),
gr.Image(value="test/test_files/cheetah1.jpg"),
gr.Image(),
)
gr.set_static_paths(paths=["test/test_files/images"])
demo_2 = gr.Interface(
lambda s: s.rotate(45),
gr.Image(value="test/test_files/images/bus.png"),
gr.Image(),
)
with gr.Blocks():
demo.render()
demo_2.render()
# Input/Output got saved to cache
assert len(list(gradio_temp_dir.glob("**/*.*"))) == 0
def test_time_to_live_and_delete_callback_for_state(capsys, monkeypatch):
monkeypatch.setenv("GRADIO_IS_E2E_TEST", "1")
def test_fn(x):
return x + 1, x + 1
def delete_fn(v):
print(f"deleted {v}")
with gr.Blocks() as demo:
n1 = gr.Number(value=0)
state = gr.State(
value=0, time_to_live=1, delete_callback=lambda v: delete_fn(v)
)
button = gr.Button("Increment")
button.click(test_fn, [state], [n1, state], api_name="increment")
app, url, _ = demo.launch(prevent_thread_lock=True)
try:
client_1 = grc.Client(url)
client_2 = grc.Client(url)
client_1.predict(api_name="/increment")
client_1.predict(api_name="/increment")
client_1.predict(api_name="/increment")
client_2.predict(api_name="/increment")
client_2.predict(api_name="/increment")
time.sleep(3)
captured = capsys.readouterr()
assert "deleted 2" in captured.out
assert "deleted 3" in captured.out
for client in [client_1, client_2]:
assert (
len(app.state_holder.session_data[client.session_hash].state_data) == 0 # type: ignore
)
finally:
demo.close()
def test_post_process_file_blocked(connect):
dotfile = pathlib.Path(".foo.txt")
file = pathlib.Path(os.getcwd()) / ".." / "file.txt"
try:
demo = gr.Interface(lambda s: s, "text", "file")
with connect(demo, show_error=True) as client:
_ = client.predict("test/test_files/bus.png")
with pytest.raises(
ValueError,
match="to the gradio cache dir because it was not created by",
):
file.write_text("Hi")
client.predict(str(file))
with connect(demo, allowed_paths=[str(file)]) as client:
_ = client.predict(str(file))
dotfile.write_text("foo")
with connect(demo, show_error=True) as client:
with pytest.raises(ValueError, match="Dotfiles located"):
_ = client.predict(str(dotfile))
with connect(demo, allowed_paths=[str(dotfile)]) as client:
_ = client.predict(str(dotfile))
finally:
try:
dotfile.unlink()
except FileNotFoundError:
pass
def test_render_when_mounted_sets_root_path_for_files():
app = FastAPI()
test_video_path = "test/test_files/video_sample.mp4"
with gr.Blocks() as demo:
text = gr.Text()
gr.Video(test_video_path)
@gr.render(inputs=text)
def show_video(data):
gr.Video(test_video_path)
app = gr.mount_gradio_app(app, demo, path="/test")
with TestClient(app) as client:
r = client.post(
f"/test{API_PREFIX}/queue/join",
json={
"data": [""],
"fn_index": 0,
"event_data": None,
"session_hash": "foo",
"trigger_id": None,
},
)
assert r.status_code == 200
r = client.get(f"/test{API_PREFIX}/queue/data?session_hash=foo")
checked_component = False
for msg in r.iter_lines():
if "data" in msg:
data = json.loads(msg[5:])
if data["msg"] == "process_completed":
render_config = data["output"]["render_config"]
for component in render_config["components"]:
if "value" in component.get("props", {}):
assert component["props"]["value"]["video"][
"url"
].startswith(f"http://testserver/test{API_PREFIX}/file=")
checked_component = True
assert checked_component
@pytest.fixture
def mock_css_files():
css_contents = {
"file1.css": "h1 { font-size: 20px; }",
"file2.css": ".class { margin: 10px; }",
}
def mock_open_file(filename, encoding):
return mock_open(read_data=css_contents[filename])()
with patch("builtins.open", side_effect=mock_open_file):
yield
def test_css_and_css_paths_parameters(mock_css_files):
css_paths = ["file1.css", "file2.css"]
instance = gr.Blocks(css="body { color: red; }", css_paths=css_paths)
expected_css = """
body { color: red; }
h1 { font-size: 20px; }
.class { margin: 10px; }
"""
assert instance.css.strip() == expected_css.strip()
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