mirror of
https://github.com/gradio-app/gradio.git
synced 2024-12-21 02:19:59 +08:00
bf1510165d
* Support for iterative outputs (#2162) (#2188) * added generator demo * fixed demo structure * fixes * fix failing tests due to refactor * test components * adding generators * fixes * iterative * formatting * add all * added demo * demo * formatting * fixed frontend * 3.2.1b release * removed test queue * iterative * formatting * formatting * Support for iterative outputs (#2149) * added generator demo * fixed demo structure * fixes * fix failing tests due to refactor * test components * adding generators * fixes * iterative * formatting * add all * added demo * demo * formatting * fixed frontend * 3.2.1b release * iterative * formatting * formatting * reverted queue everywhere * added queue to demos * added fake diffusion with gif * add to demos * more complex counter * fixes * image gif * fixes * version * merged * added support for state * formatting * generating animation * fix * tests, iterator * tests * formatting * tests for queuing * version * generating orange border animation * testings * added to documentation Co-authored-by: Ali Abid <aabid94@gmail.com>
369 lines
12 KiB
Python
369 lines
12 KiB
Python
import asyncio
|
|
import io
|
|
import os
|
|
import random
|
|
import sys
|
|
import time
|
|
import unittest
|
|
import unittest.mock as mock
|
|
from contextlib import contextmanager
|
|
from unittest.mock import patch
|
|
|
|
import mlflow
|
|
import pytest
|
|
import wandb
|
|
|
|
import gradio as gr
|
|
from gradio.routes import PredictBody
|
|
from gradio.test_data.blocks_configs import XRAY_CONFIG
|
|
from gradio.utils import assert_configs_are_equivalent_besides_ids
|
|
|
|
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 TestBlocks(unittest.TestCase):
|
|
maxDiff = None
|
|
|
|
def test_set_share(self):
|
|
with gr.Blocks() as demo:
|
|
# self.share is False when instantiating the class
|
|
self.assertFalse(demo.share)
|
|
# default is False, if share is None
|
|
demo.share = None
|
|
self.assertFalse(demo.share)
|
|
# if set to True, it doesn't change
|
|
demo.share = True
|
|
self.assertTrue(demo.share)
|
|
|
|
@patch("gradio.utils.colab_check")
|
|
def test_set_share_in_colab(self, mock_colab_check):
|
|
mock_colab_check.return_value = True
|
|
with gr.Blocks() as demo:
|
|
# self.share is False when instantiating the class
|
|
self.assertFalse(demo.share)
|
|
# default is True, if share is None and colab_check is true
|
|
demo.share = None
|
|
self.assertTrue(demo.share)
|
|
# if set to True, it doesn't change
|
|
demo.share = True
|
|
self.assertTrue(demo.share)
|
|
|
|
def test_xray(self):
|
|
def fake_func():
|
|
return "Hello There"
|
|
|
|
xray_model = lambda diseases, img: {
|
|
disease: random.random() for disease in diseases
|
|
}
|
|
ct_model = lambda diseases, img: {disease: 0.1 for disease in diseases}
|
|
|
|
with gr.Blocks() as demo:
|
|
gr.Markdown(
|
|
"""
|
|
# Detect Disease From Scan
|
|
With this model you can lorem ipsum
|
|
- ipsum 1
|
|
- ipsum 2
|
|
"""
|
|
)
|
|
disease = gr.CheckboxGroup(
|
|
choices=["Covid", "Malaria", "Lung Cancer"], label="Disease to Scan For"
|
|
)
|
|
|
|
with gr.Tabs():
|
|
with gr.TabItem("X-ray"):
|
|
with gr.Row():
|
|
xray_scan = gr.Image()
|
|
xray_results = gr.JSON()
|
|
xray_run = gr.Button("Run")
|
|
xray_run.click(
|
|
xray_model, inputs=[disease, xray_scan], outputs=xray_results
|
|
)
|
|
|
|
with gr.TabItem("CT Scan"):
|
|
with gr.Row():
|
|
ct_scan = gr.Image()
|
|
ct_results = gr.JSON()
|
|
ct_run = gr.Button("Run")
|
|
ct_run.click(
|
|
ct_model, inputs=[disease, ct_scan], outputs=ct_results
|
|
)
|
|
textbox = gr.Textbox()
|
|
demo.load(fake_func, [], [textbox])
|
|
|
|
config = demo.get_config_file()
|
|
self.assertTrue(assert_configs_are_equivalent_besides_ids(XRAY_CONFIG, config))
|
|
|
|
def test_load_from_config(self):
|
|
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().style(height=54, width=240)
|
|
|
|
config1 = demo1.get_config_file()
|
|
demo2 = gr.Blocks.from_config(config1, [update])
|
|
config2 = demo2.get_config_file()
|
|
self.assertTrue(assert_configs_are_equivalent_besides_ids(config1, config2))
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_async_function(self):
|
|
async def wait():
|
|
await asyncio.sleep(0.01)
|
|
return True
|
|
|
|
with gr.Blocks() as demo:
|
|
text = gr.Textbox()
|
|
button = gr.Button()
|
|
button.click(wait, [text], [text])
|
|
|
|
body = PredictBody(data=1, fn_index=0)
|
|
start = time.time()
|
|
result = await demo.process_api(body)
|
|
end = time.time()
|
|
difference = end - start
|
|
assert difference >= 0.01
|
|
assert result
|
|
|
|
def test_integration_wandb(self):
|
|
with captured_output() as (out, err):
|
|
wandb.log = mock.MagicMock()
|
|
wandb.Html = mock.MagicMock()
|
|
demo = gr.Blocks()
|
|
with demo:
|
|
gr.Textbox("Hi there!")
|
|
demo.integrate(wandb=wandb)
|
|
|
|
self.assertEqual(
|
|
out.getvalue().strip(),
|
|
"The WandB integration requires you to `launch(share=True)` first.",
|
|
)
|
|
demo.share_url = "tmp"
|
|
demo.integrate(wandb=wandb)
|
|
wandb.log.assert_called_once()
|
|
|
|
@mock.patch("comet_ml.Experiment")
|
|
def test_integration_comet(self, mock_experiment):
|
|
experiment = mock_experiment()
|
|
experiment.log_text = mock.MagicMock()
|
|
experiment.log_other = mock.MagicMock()
|
|
|
|
demo = gr.Blocks()
|
|
with demo:
|
|
gr.Textbox("Hi there!")
|
|
|
|
demo.launch(prevent_thread_lock=True)
|
|
demo.integrate(comet_ml=experiment)
|
|
experiment.log_text.assert_called_with("gradio: " + demo.local_url)
|
|
demo.share_url = "tmp" # used to avoid creating real share links.
|
|
demo.integrate(comet_ml=experiment)
|
|
experiment.log_text.assert_called_with("gradio: " + demo.share_url)
|
|
self.assertEqual(experiment.log_other.call_count, 2)
|
|
demo.share_url = None
|
|
demo.close()
|
|
|
|
def test_integration_mlflow(self):
|
|
mlflow.log_param = mock.MagicMock()
|
|
demo = gr.Blocks()
|
|
with demo:
|
|
gr.Textbox("Hi there!")
|
|
|
|
demo.launch(prevent_thread_lock=True)
|
|
demo.integrate(mlflow=mlflow)
|
|
mlflow.log_param.assert_called_with(
|
|
"Gradio Interface Local Link", demo.local_url
|
|
)
|
|
demo.share_url = "tmp" # used to avoid creating real share links.
|
|
demo.integrate(mlflow=mlflow)
|
|
mlflow.log_param.assert_called_with(
|
|
"Gradio Interface Share Link", demo.share_url
|
|
)
|
|
demo.share_url = None
|
|
demo.close()
|
|
|
|
@mock.patch("requests.post")
|
|
def test_initiated_analytics(self, mock_post):
|
|
with gr.Blocks(analytics_enabled=True):
|
|
pass
|
|
mock_post.assert_called_once()
|
|
|
|
|
|
def test_slider_random_value_config():
|
|
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.IOComponent):
|
|
if "Non-random" in component.label:
|
|
assert not component.attach_load_event
|
|
else:
|
|
assert component.attach_load_event
|
|
dependencies_on_load = [
|
|
dep["trigger"] == "load" for dep in demo.config["dependencies"]
|
|
]
|
|
assert all(dependencies_on_load)
|
|
assert len(dependencies_on_load) == 2
|
|
assert not any([dep["queue"] for dep in demo.config["dependencies"]])
|
|
|
|
|
|
def test_io_components_attach_load_events_when_value_is_fn(io_components):
|
|
io_components = [comp for comp in io_components if not (comp == gr.State)]
|
|
interface = gr.Interface(
|
|
lambda *args: None,
|
|
inputs=[comp(value=lambda: None) for comp in io_components],
|
|
outputs=None,
|
|
)
|
|
|
|
dependencies_on_load = [
|
|
dep for dep in interface.config["dependencies"] if dep["trigger"] == "load"
|
|
]
|
|
assert len(dependencies_on_load) == len(io_components)
|
|
|
|
|
|
def test_blocks_do_not_filter_none_values_from_updates(io_components):
|
|
io_components = [c() for c in io_components if c not in [gr.State, gr.Button]]
|
|
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 = demo.postprocess_data(
|
|
0, [gr.update(value=None) for _ in io_components], state=None
|
|
)
|
|
assert all(
|
|
[o["value"] == c.postprocess(None) for o, c in zip(output, io_components)]
|
|
)
|
|
|
|
|
|
def test_blocks_does_not_replace_keyword_literal():
|
|
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 = demo.postprocess_data(0, gr.update(value="NO_VALUE"), state=None)
|
|
assert output[0]["value"] == "NO_VALUE"
|
|
|
|
|
|
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: "Hello, " + x,
|
|
inputs=text,
|
|
outputs=text,
|
|
)
|
|
|
|
output = await demo.call_function(0, ["World"])
|
|
assert output["prediction"] == "Hello, World"
|
|
output = await demo.call_function(0, ["Abubakar"])
|
|
assert output["prediction"] == "Hello, Abubakar"
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_call_generator(self):
|
|
def generator(x):
|
|
for i in range(x):
|
|
yield i
|
|
|
|
with gr.Blocks() as demo:
|
|
inp = gr.Number()
|
|
out = gr.Number()
|
|
btn = gr.Button()
|
|
btn.click(
|
|
generator,
|
|
inputs=inp,
|
|
outputs=out,
|
|
)
|
|
|
|
demo.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)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|