[to #42322933] support text to image synthesis default model

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9253639

modelscope/pipelines/builder.py

@@ -57,6 +57,9 @@ DEFAULT_MODEL_FOR_PIPELINE = {
     Tasks.visual_question_answering:
     (Pipelines.visual_question_answering,
      'damo/mplug_visual-question-answering_coco_large_en'),
+    Tasks.text_to_image_synthesis:
+    (Pipelines.text_to_image_synthesis,
+     'damo/cv_imagen_text-to-image-synthesis_tiny')
 }
 
 

modelscope/pipelines/cv/action_recognition_pipeline.py

@@ -2,9 +2,6 @@ import math
 import os.path as osp
 from typing import Any, Dict
 
-import cv2
-import numpy as np
-import PIL
 import torch
 
 from modelscope.metainfo import Pipelines

modelscope/pipelines/multi_modal/text_to_image_synthesis_pipeline.py

@@ -1,4 +1,4 @@
-from typing import Any, Dict, Union
+from typing import Any, Dict
 
 from modelscope.metainfo import Pipelines
 from modelscope.pipelines.base import Input
@@ -23,7 +23,7 @@ class TextToImageSynthesisPipeline(Pipeline):
             pipe_model = model
         else:
             raise NotImplementedError(
-                f'execpting a Model instance or str, but get {type(model)}.')
+                f'expecting a Model instance or str, but get {type(model)}.')
 
         super().__init__(model=pipe_model)
 

tests/pipelines/test_action_recognition.py

@@ -1,14 +1,10 @@
 # Copyright (c) Alibaba, Inc. and its affiliates.
 # !/usr/bin/env python
 import os.path as osp
-import shutil
 import tempfile
 import unittest
 
-import cv2
-
 from modelscope.fileio import File
-from modelscope.msdatasets import MsDataset
 from modelscope.pipelines import pipeline
 from modelscope.utils.constant import ModelFile, Tasks
 from modelscope.utils.test_utils import test_level
@@ -45,7 +41,7 @@ class ActionRecognitionTest(unittest.TestCase):
 
         print(f'recognition output: {result}.')
 
-    @unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
+    @unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
     def test_run_modelhub_default_model(self):
         recognition_pipeline = pipeline(Tasks.action_recognition)
         result = recognition_pipeline(