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synced 2025-01-18 10:44:33 +08:00
fixes
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ba9eebf934
commit
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@ -2898,12 +2898,6 @@ class Model3D(Component):
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**super().get_template_context(),
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}
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@classmethod
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def get_shortcut_implementations(cls):
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return {
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"Model3D": {},
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}
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def preprocess_example(self, x):
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return {"name": x, "data": None, "is_example": True}
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@ -3214,12 +3208,6 @@ class Plot(Component):
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def get_template_context(self):
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return {**super().get_template_context()}
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@classmethod
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def get_shortcut_implementations(cls):
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return {
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"plot": {},
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}
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def postprocess(self, y):
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"""
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Parameters:
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@ -512,4 +512,4 @@ class Image3D(C_Model3D):
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"Usage of gradio.outputs is deprecated, and will not be supported in the future, please import your components from gradio.components",
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DeprecationWarning,
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)
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super().__init__(label, optional=optional)
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super().__init__(label=label, optional=optional)
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@ -763,8 +763,10 @@ class TestImage3D(unittest.TestCase):
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self.assertEqual(
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Image3D_input.get_template_context(),
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{
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"optional": False,
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"clearColor": None,
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"name": "image3d",
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"css": {},
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"interactive": None,
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"label": "Upload Your 3D Image Model",
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},
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)
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@ -778,7 +780,7 @@ class TestImage3D(unittest.TestCase):
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def test_in_interface(self):
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Image3D = media_data.BASE64_MODEL3D
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iface = gr.Interface(lambda x: x, "Model3D", "Model3D")
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iface = gr.Interface(lambda x: x, "model3d", "model3d")
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self.assertEqual(
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iface.process([Image3D])[0]["data"],
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Image3D["data"].replace("@file/gltf", ""),
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@ -557,11 +557,11 @@ class TestImage3D(unittest.TestCase):
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to_save = Image3D_output.save_flagged(
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tmpdirname, "Image3D_output", media_data.BASE64_MODEL3D, None
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)
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self.assertEqual("Image3D_output/0.gltf", to_save)
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self.assertEqual("Image3D_output/0", to_save)
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to_save = Image3D_output.save_flagged(
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tmpdirname, "Image3D_output", media_data.BASE64_MODEL3D, None
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)
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self.assertEqual("Image3D_output/1.gltf", to_save)
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self.assertEqual("Image3D_output/1", to_save)
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if __name__ == "__main__":
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@ -45,7 +45,9 @@ class TestRoutes(unittest.TestCase):
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self.assertEqual(output["data"], ["testtest"])
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def test_state(self):
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def predict(input, history=""):
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def predict(input, history):
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if history is None:
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history = ""
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history += input
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return history, history
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