from huggingface_hub import snapshot_download

from modelscope.pipelines import pipeline
from modelscope.outputs import OutputKeys
import pathlib
import gradio as gr


def video_gen(prompt):
    model_dir = pathlib.Path('weights')
    snapshot_download('damo-vilab/modelscope-damo-text-to-video-synthesis',
                       repo_type='model', local_dir=model_dir)

    pipe = pipeline('text-to-video-synthesis', model_dir.as_posix())
    prompt = {
            'text': 'A panda eating bamboo on a rock.',
        }
    output_video_path = pipe(prompt,)[OutputKeys.OUTPUT_VIDEO]
    return output_video_path

demo = gr.Interface(fn=video_gen, inputs="text", outputs="video")
demo.launch(share=True)