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from concurrent.futures import wait
import pytest
import gradio as gr
from gradio import helpers
def invalid_fn(message):
return message
def double(message, history):
return message + " " + message
def stream(message, history):
for i in range(len(message)):
yield message[: i + 1]
def count(message, history):
return str(len(history))
def echo_system_prompt_plus_message(message, history, system_prompt, tokens):
response = f"{system_prompt} {message}"
for i in range(min(len(response), int(tokens))):
yield response[: i + 1]
class TestInit:
def test_no_fn(self):
with pytest.raises(TypeError):
gr.ChatInterface()
def test_configuring_buttons(self):
chatbot = gr.ChatInterface(double, submit_btn=None, retry_btn=None)
assert chatbot.submit_btn is None
assert chatbot.retry_btn is None
def test_events_attached(self):
chatbot = gr.ChatInterface(double)
dependencies = chatbot.dependencies
textbox = chatbot.textbox._id
assert next(
(
d
for d in dependencies
if d["targets"] == [textbox] and d["trigger"] == "submit"
),
None,
)
for btn_id in [
chatbot.submit_btn._id,
chatbot.retry_btn._id,
chatbot.clear_btn._id,
chatbot.undo_btn._id,
]:
assert next(
(
d
for d in dependencies
if d["targets"] == [btn_id] and d["trigger"] == "click"
),
None,
)
@pytest.mark.asyncio
async def test_example_caching(self):
chatbot = gr.ChatInterface(
double, examples=["hello", "hi"], cache_examples=True
)
prediction_hello = await chatbot.examples_handler.load_from_cache(0)
prediction_hi = await chatbot.examples_handler.load_from_cache(1)
assert prediction_hello[0][0] == ["hello", "hello hello"]
assert prediction_hi[0][0] == ["hi", "hi hi"]
@pytest.mark.asyncio
async def test_example_caching_with_streaming(self, monkeypatch):
monkeypatch.setattr(helpers, "CACHED_FOLDER", tempfile.mkdtemp())
chatbot = gr.ChatInterface(
stream, examples=["hello", "hi"], cache_examples=True
)
prediction_hello = await chatbot.examples_handler.load_from_cache(0)
prediction_hi = await chatbot.examples_handler.load_from_cache(1)
assert prediction_hello[0][0] == ["hello", "hello"]
assert prediction_hi[0][0] == ["hi", "hi"]
@pytest.mark.asyncio
async def test_example_caching_with_additional_inputs(self, monkeypatch):
monkeypatch.setattr(helpers, "CACHED_FOLDER", tempfile.mkdtemp())
chatbot = gr.ChatInterface(
echo_system_prompt_plus_message,
additional_inputs=["textbox", "slider"],
examples=[["hello", "robot", 100], ["hi", "robot", 2]],
cache_examples=True,
)
prediction_hello = await chatbot.examples_handler.load_from_cache(0)
prediction_hi = await chatbot.examples_handler.load_from_cache(1)
assert prediction_hello[0][0] == ["hello", "robot hello"]
assert prediction_hi[0][0] == ["hi", "ro"]
@pytest.mark.asyncio
async def test_example_caching_with_additional_inputs_already_rendered(
self, monkeypatch
):
monkeypatch.setattr(helpers, "CACHED_FOLDER", tempfile.mkdtemp())
with gr.Blocks():
with gr.Accordion("Inputs"):
text = gr.Textbox()
slider = gr.Slider()
chatbot = gr.ChatInterface(
echo_system_prompt_plus_message,
additional_inputs=[text, slider],
examples=[["hello", "robot", 100], ["hi", "robot", 2]],
cache_examples=True,
)
prediction_hello = await chatbot.examples_handler.load_from_cache(0)
prediction_hi = await chatbot.examples_handler.load_from_cache(1)
assert prediction_hello[0][0] == ["hello", "robot hello"]
assert prediction_hi[0][0] == ["hi", "ro"]
class TestAPI:
def test_get_api_info(self):
chatbot = gr.ChatInterface(double)
api_info = gr.blocks.get_api_info(chatbot.get_config_file())
assert len(api_info["named_endpoints"]) == 1
assert len(api_info["unnamed_endpoints"]) == 0
assert "/chat" in api_info["named_endpoints"]
def test_streaming_api(self, connect):
chatbot = gr.ChatInterface(stream).queue()
with connect(chatbot) as client:
job = client.submit("hello")
wait([job])
assert job.outputs() == ["h", "he", "hel", "hell", "hello"]
def test_non_streaming_api(self, connect):
chatbot = gr.ChatInterface(double)
with connect(chatbot) as client:
result = client.predict("hello")
assert result == "hello hello"
def test_streaming_api_with_additional_inputs(self, connect):
chatbot = gr.ChatInterface(
echo_system_prompt_plus_message,
additional_inputs=["textbox", "slider"],
).queue()
with connect(chatbot) as client:
job = client.submit("hello", "robot", 7)
wait([job])
assert job.outputs() == [
"r",
"ro",
"rob",
"robo",
"robot",
"robot ",
"robot h",
]
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