testbed/gradio-app__gradio/test/test_pipelines.py

import pytest
import transformers

import gradio as gr


@pytest.mark.flaky
def test_text_to_text_model_from_pipeline():
    pipe = transformers.pipeline(model="sshleifer/bart-tiny-random")
    io = gr.Interface.from_pipeline(pipe)
    output = io("My name is Sylvain and I work at Hugging Face in Brooklyn")
    assert isinstance(output, str)


@pytest.mark.flaky
def test_interface_in_blocks():
    pipe1 = transformers.pipeline(model="sshleifer/bart-tiny-random")
    pipe2 = transformers.pipeline(model="sshleifer/bart-tiny-random")
    with gr.Blocks() as demo:
        with gr.Tab("Image Inference"):
            gr.Interface.from_pipeline(pipe1)
        with gr.Tab("Image Inference"):
            gr.Interface.from_pipeline(pipe2)
    demo.launch(prevent_thread_lock=True)
    demo.close()