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* Add guides * add changeset * Add code * Add code * Add notebook * rename msg_format to type * Fix docs * notebooks * missing link * Update guides --------- Co-authored-by: gradio-pr-bot <gradio-pr-bot@users.noreply.github.com> Co-authored-by: Abubakar Abid <abubakar@huggingface.co>
299 lines
11 KiB
Python
299 lines
11 KiB
Python
import tempfile
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from concurrent.futures import wait
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from pathlib import Path
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from unittest.mock import patch
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import pytest
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import gradio as gr
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def invalid_fn(message):
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return message
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def double(message, history):
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return message + " " + message
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async def async_greet(message, history):
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return "hi, " + message
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def stream(message, history):
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for i in range(len(message)):
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yield message[: i + 1]
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async def async_stream(message, history):
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for i in range(len(message)):
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yield message[: i + 1]
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def count(message, history):
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return str(len(history))
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def echo_system_prompt_plus_message(message, history, system_prompt, tokens):
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response = f"{system_prompt} {message}"
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for i in range(min(len(response), int(tokens))):
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yield response[: i + 1]
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class TestInit:
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def test_no_fn(self):
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with pytest.raises(TypeError):
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gr.ChatInterface()
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def test_configuring_buttons(self):
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chatbot = gr.ChatInterface(double, submit_btn=None, retry_btn=None)
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assert chatbot.submit_btn is None
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assert chatbot.retry_btn is None
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def test_concurrency_limit(self):
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chat = gr.ChatInterface(double, concurrency_limit=10)
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assert chat.concurrency_limit == 10
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fns = [
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fn
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for fn in chat.fns.values()
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if fn.name in {"_submit_fn", "_api_submit_fn"}
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]
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assert all(fn.concurrency_limit == 10 for fn in fns)
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def test_custom_textbox(self):
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def chat():
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return "Hello"
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gr.ChatInterface(
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chat,
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chatbot=gr.Chatbot(height=400),
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textbox=gr.Textbox(placeholder="Type Message", container=False, scale=7),
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title="Test",
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clear_btn="Clear",
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)
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gr.ChatInterface(
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chat,
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chatbot=gr.Chatbot(height=400),
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textbox=gr.MultimodalTextbox(container=False, scale=7),
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title="Test",
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clear_btn="Clear",
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)
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def test_events_attached(self):
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chatbot = gr.ChatInterface(double)
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dependencies = chatbot.fns.values()
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textbox = chatbot.textbox._id
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submit_btn = chatbot.submit_btn._id
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assert next(
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(
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d
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for d in dependencies
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if d.targets == [(textbox, "submit"), (submit_btn, "click")]
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),
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None,
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)
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for btn_id in [
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chatbot.retry_btn._id,
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chatbot.clear_btn._id,
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chatbot.undo_btn._id,
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]:
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assert next(
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(d for d in dependencies if d.targets[0] == (btn_id, "click")),
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None,
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)
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def test_example_caching(self):
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with patch(
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"gradio.utils.get_cache_folder", return_value=Path(tempfile.mkdtemp())
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):
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chatbot = gr.ChatInterface(
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double, examples=["hello", "hi"], cache_examples=True
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)
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prediction_hello = chatbot.examples_handler.load_from_cache(0)
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prediction_hi = chatbot.examples_handler.load_from_cache(1)
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assert prediction_hello[0].root[0] == ("hello", "hello hello")
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assert prediction_hi[0].root[0] == ("hi", "hi hi")
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@pytest.mark.asyncio
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async def test_example_caching_lazy(self):
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with patch(
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"gradio.utils.get_cache_folder", return_value=Path(tempfile.mkdtemp())
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):
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chatbot = gr.ChatInterface(
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double, examples=["hello", "hi"], cache_examples="lazy"
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)
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async for _ in chatbot.examples_handler.async_lazy_cache(0, "hello"):
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pass
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prediction_hello = chatbot.examples_handler.load_from_cache(0)
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assert prediction_hello[0].root[0] == ("hello", "hello hello")
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with pytest.raises(IndexError):
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prediction_hi = chatbot.examples_handler.load_from_cache(1)
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assert prediction_hi[0].root[0] == ("hi", "hi hi")
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def test_example_caching_async(self):
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with patch(
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"gradio.utils.get_cache_folder", return_value=Path(tempfile.mkdtemp())
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):
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chatbot = gr.ChatInterface(
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async_greet, examples=["abubakar", "tom"], cache_examples=True
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)
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prediction_hello = chatbot.examples_handler.load_from_cache(0)
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prediction_hi = chatbot.examples_handler.load_from_cache(1)
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assert prediction_hello[0].root[0] == ("abubakar", "hi, abubakar")
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assert prediction_hi[0].root[0] == ("tom", "hi, tom")
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def test_example_caching_with_streaming(self):
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with patch(
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"gradio.utils.get_cache_folder", return_value=Path(tempfile.mkdtemp())
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):
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chatbot = gr.ChatInterface(
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stream, examples=["hello", "hi"], cache_examples=True
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)
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prediction_hello = chatbot.examples_handler.load_from_cache(0)
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prediction_hi = chatbot.examples_handler.load_from_cache(1)
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assert prediction_hello[0].root[0] == ("hello", "hello")
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assert prediction_hi[0].root[0] == ("hi", "hi")
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def test_example_caching_with_streaming_async(self):
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with patch(
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"gradio.utils.get_cache_folder", return_value=Path(tempfile.mkdtemp())
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):
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chatbot = gr.ChatInterface(
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async_stream, examples=["hello", "hi"], cache_examples=True
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)
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prediction_hello = chatbot.examples_handler.load_from_cache(0)
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prediction_hi = chatbot.examples_handler.load_from_cache(1)
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assert prediction_hello[0].root[0] == ("hello", "hello")
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assert prediction_hi[0].root[0] == ("hi", "hi")
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def test_default_accordion_params(self):
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chatbot = gr.ChatInterface(
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echo_system_prompt_plus_message,
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additional_inputs=["textbox", "slider"],
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)
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accordion = [
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comp
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for comp in chatbot.blocks.values()
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if comp.get_config().get("name") == "accordion"
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][0]
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assert accordion.get_config().get("open") is False
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assert accordion.get_config().get("label") == "Additional Inputs"
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def test_setting_accordion_params(self, monkeypatch):
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chatbot = gr.ChatInterface(
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echo_system_prompt_plus_message,
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additional_inputs=["textbox", "slider"],
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additional_inputs_accordion=gr.Accordion(open=True, label="MOAR"),
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)
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accordion = [
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comp
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for comp in chatbot.blocks.values()
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if comp.get_config().get("name") == "accordion"
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][0]
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assert accordion.get_config().get("open") is True
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assert accordion.get_config().get("label") == "MOAR"
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def test_example_caching_with_additional_inputs(self, monkeypatch):
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with patch(
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"gradio.utils.get_cache_folder", return_value=Path(tempfile.mkdtemp())
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):
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chatbot = gr.ChatInterface(
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echo_system_prompt_plus_message,
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additional_inputs=["textbox", "slider"],
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examples=[["hello", "robot", 100], ["hi", "robot", 2]],
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cache_examples=True,
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)
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prediction_hello = chatbot.examples_handler.load_from_cache(0)
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prediction_hi = chatbot.examples_handler.load_from_cache(1)
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assert prediction_hello[0].root[0] == ("hello", "robot hello")
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assert prediction_hi[0].root[0] == ("hi", "ro")
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def test_example_caching_with_additional_inputs_already_rendered(self, monkeypatch):
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with patch(
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"gradio.utils.get_cache_folder", return_value=Path(tempfile.mkdtemp())
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):
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with gr.Blocks():
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with gr.Accordion("Inputs"):
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text = gr.Textbox()
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slider = gr.Slider()
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chatbot = gr.ChatInterface(
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echo_system_prompt_plus_message,
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additional_inputs=[text, slider],
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examples=[["hello", "robot", 100], ["hi", "robot", 2]],
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cache_examples=True,
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)
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prediction_hello = chatbot.examples_handler.load_from_cache(0)
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prediction_hi = chatbot.examples_handler.load_from_cache(1)
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assert prediction_hello[0].root[0] == ("hello", "robot hello")
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assert prediction_hi[0].root[0] == ("hi", "ro")
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def test_custom_chatbot_with_events(self):
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with gr.Blocks() as demo:
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chatbot = gr.Chatbot()
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chatbot.like(lambda: None, None, None)
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gr.ChatInterface(fn=lambda x, y: x, chatbot=chatbot)
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dependencies = demo.fns.values()
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assert next(
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(d for d in dependencies if d.targets == [(chatbot._id, "like")]),
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None,
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)
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class TestAPI:
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def test_get_api_info(self):
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chatbot = gr.ChatInterface(double)
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api_info = chatbot.get_api_info()
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assert len(api_info["named_endpoints"]) == 1
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assert len(api_info["unnamed_endpoints"]) == 0
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assert "/chat" in api_info["named_endpoints"]
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@pytest.mark.parametrize("type", ["tuples", "messages"])
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def test_streaming_api(self, type, connect):
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chatbot = gr.ChatInterface(stream, type=type).queue()
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with connect(chatbot) as client:
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job = client.submit("hello")
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wait([job])
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assert job.outputs() == ["h", "he", "hel", "hell", "hello"]
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@pytest.mark.parametrize("type", ["tuples", "messages"])
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def test_streaming_api_async(self, type, connect):
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chatbot = gr.ChatInterface(async_stream, type=type).queue()
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with connect(chatbot) as client:
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job = client.submit("hello")
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wait([job])
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assert job.outputs() == ["h", "he", "hel", "hell", "hello"]
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@pytest.mark.parametrize("type", ["tuples", "messages"])
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def test_non_streaming_api(self, type, connect):
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chatbot = gr.ChatInterface(double, type=type)
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with connect(chatbot) as client:
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result = client.predict("hello")
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assert result == "hello hello"
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@pytest.mark.parametrize("type", ["tuples", "messages"])
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def test_non_streaming_api_async(self, type, connect):
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chatbot = gr.ChatInterface(async_greet, type=type)
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with connect(chatbot) as client:
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result = client.predict("gradio")
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assert result == "hi, gradio"
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@pytest.mark.parametrize("type", ["tuples", "messages"])
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def test_streaming_api_with_additional_inputs(self, type, connect):
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chatbot = gr.ChatInterface(
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echo_system_prompt_plus_message,
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type=type,
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additional_inputs=["textbox", "slider"],
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).queue()
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with connect(chatbot) as client:
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job = client.submit("hello", "robot", 7)
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wait([job])
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assert job.outputs() == [
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"r",
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"ro",
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"rob",
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"robo",
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"robot",
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"robot ",
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"robot h",
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]
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