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Runtime error
| import os | |
| import gradio as gr | |
| from transformers import pipeline | |
| # from diffusers import StableDiffusionPipeline | |
| # import torch | |
| sd_description = "ζεηζεΎη" | |
| sd_examples = [["ε°η«"], ["cat"], ["dog"]] | |
| sd_demo = gr.Interface.load("models/runwayml/stable-diffusion-v1-5", title='ζεηζεΎη', examples=sd_examples) | |
| pipe = pipeline("image-classification") | |
| examples = [[os.path.join(os.path.dirname(__file__), "lion.jpg")], [os.path.join(os.path.dirname(__file__), "cat.jpeg")]] | |
| app = gr.Interface.from_pipeline(pipe, examples=examples, title='εΎηθ―ε«') | |
| # model_id = "dreamlike-art/dreamlike-photoreal-2.0" | |
| # pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float32) | |
| # pipe_v1 = pipe.to("cpu") | |
| # def generate_image_v1(prompt): | |
| # return pipe_v1(prompt).images[0] | |
| # examples = [["θ½ζ₯"], ["ζ²ζ»©"]] | |
| # app_v1 = gr.Interface(fn=generate_image_v1, inputs="text", outputs="image", examples=examples) | |
| demo = gr.TabbedInterface([sd_demo, app], ["ζεηζεΎη", "εΎηθ―ε«"]) | |
| demo.queue(concurrency_count=2) | |
| demo.launch() | |