Spaces:
Runtime error
Runtime error
| #!/usr/bin/env python | |
| from __future__ import annotations | |
| import os | |
| import random | |
| import shlex | |
| import subprocess | |
| import gradio as gr | |
| import torch | |
| if os.getenv('SYSTEM') == 'spaces': | |
| subprocess.run(shlex.split('pip uninstall -y modelscope')) | |
| subprocess.run( | |
| shlex.split( | |
| 'pip install git+https://github.com/modelscope/modelscope.git@refs/pull/207/head' | |
| )) | |
| from modelscope.outputs import OutputKeys | |
| from modelscope.pipelines import pipeline | |
| DESCRIPTION = '# [ModelScope Text to Video Synthesis](https://modelscope.cn/models/damo/text-to-video-synthesis/summary)' | |
| if (SPACE_ID := os.getenv('SPACE_ID')) is not None: | |
| DESCRIPTION += f'\n<p>For faster inference without waiting in queue, you may duplicate the space and upgrade to GPU in settings. <a href="https://huggingface.co/spaces/{SPACE_ID}?duplicate=true"><img style="display: inline; margin-top: 0em; margin-bottom: 0em" src="https://bit.ly/3gLdBN6" alt="Duplicate Space" /></a></p>' | |
| pipe = pipeline('text-to-video-synthesis', 'damo/text-to-video-synthesis') | |
| def generate(prompt: str, seed: int) -> str: | |
| if seed == -1: | |
| seed = random.randint(0, 1000000) | |
| torch.manual_seed(seed) | |
| return pipe({'text': prompt})[OutputKeys.OUTPUT_VIDEO] | |
| examples = [ | |
| ['An astronaut riding a horse.', 0], | |
| ['A panda eating bamboo on a rock.', 0], | |
| ['Spiderman is surfing.', 0], | |
| ] | |
| with gr.Blocks(css='style.css') as demo: | |
| gr.Markdown(DESCRIPTION) | |
| with gr.Row(): | |
| with gr.Column(): | |
| prompt = gr.Text(label='Prompt', max_lines=1) | |
| seed = gr.Slider( | |
| label='Seed', | |
| minimum=-1, | |
| maximum=1000000, | |
| step=1, | |
| value=-1, | |
| info='If set to -1, a different seed will be used each time.') | |
| run_button = gr.Button('Run') | |
| with gr.Column(): | |
| result = gr.Video(label='Result') | |
| inputs = [prompt, seed] | |
| gr.Examples(examples=examples, | |
| inputs=inputs, | |
| outputs=result, | |
| fn=generate, | |
| cache_examples=os.getenv('SYSTEM') == 'spaces') | |
| prompt.submit(fn=generate, inputs=inputs, outputs=result) | |
| run_button.click(fn=generate, inputs=inputs, outputs=result) | |
| demo.queue(api_open=False).launch() | |