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from pathlib import Path
from copy import deepcopy
import shutil
import os
from datetime import datetime
import time
import uuid
import subprocess
import gradio as gr
import yaml
import torch.multiprocessing as mp
mp.set_start_method('spawn', force=True)
from mm_story_agent import MMStoryAgent
os.system("cp policy.xml /etc/ImageMagick-6/")
with open("configs/mm_story_agent.yaml", "r") as reader:
config = yaml.load(reader, Loader=yaml.FullLoader)
default_story_setting = config["story_setting"]
default_story_gen_config = config["story_gen_config"]
default_slideshow_effect = config["slideshow_effect"]
default_image_config = config["image_generation"]
default_sound_config = config["sound_generation"]
default_music_config = config["music_generation"]
def set_generating_progress_text(text):
return gr.update(visible=True, value=f"<h3>{text}</h3>")
def set_text_invisible():
return gr.update(visible=False)
def deep_update(original, updates):
for key, value in updates.items():
if isinstance(value, dict):
original[key] = deep_update(original.get(key, {}), value)
else:
original[key] = value
return original
def update_page(direction, page, story_data):
orig_page = page
if direction == 'next' and page < len(story_data) - 1:
page = orig_page + 1
elif direction == 'prev' and page > 0:
page = orig_page - 1
return page, story_data[page], story_data
def write_story_fn(story_topic, main_role, scene,
num_outline, temperature,
current_page,
config,
progress=gr.Progress(track_tqdm=True)):
config["story_dir"] = f"generated_stories/{time.strftime('%Y%m%d-%H%M%S') + '-' + str(uuid.uuid1().hex)}"
current_date = datetime.now()
if Path("generated_stories").exists():
for story_dir in Path("generated_stories").iterdir():
story_date = story_dir.name[:8]
story_date = datetime.strptime(story_date, '%Y%m%d')
date_difference = current_date - story_date
if date_difference.days >= 2:
shutil.rmtree(story_dir)
deep_update(config, {
"story_setting": {
"story_topic": story_topic,
"main_role": main_role,
"scene": scene,
},
"story_gen_config": {
"num_outline": num_outline,
"temperature": temperature
},
})
story_gen_agent = MMStoryAgent()
pages = story_gen_agent.write_story(config)
# story_data, story_accordion, story_content
return pages, gr.update(visible=True), pages[current_page], gr.update()
def modality_assets_generation_fn(
height, width, image_seed, sound_guidance_scale, sound_seed,
n_candidate_per_text,
config,
story_data):
deep_update(config, {
"image_generation": {
"obj_cfg": {
"height": height,
"width": width,
},
"call_cfg": {
"seed": image_seed
}
},
"sound_generation": {
"call_cfg": {
"guidance_scale": sound_guidance_scale,
"seed": sound_seed,
"n_candidate_per_text": n_candidate_per_text
}
},
})
story_gen_agent = MMStoryAgent()
images = story_gen_agent.generate_modality_assets(config, story_data)
# image gallery
return gr.update(visible=True, value=images, columns=[len(images)], rows=[1], height="auto")
def compose_storytelling_video_fn(
fade_duration, slide_duration, zoom_speed, move_ratio,
sound_volume, music_volume, bg_speech_ratio, fps,
config,
story_data,
progress=gr.Progress(track_tqdm=True)):
deep_update(config, {
"slideshow_effect": {
"fade_duration": fade_duration,
"slide_duration": slide_duration,
"zoom_speed": zoom_speed,
"move_ratio": move_ratio,
"sound_volume": sound_volume,
"music_volume": music_volume,
"bg_speech_ratio": bg_speech_ratio,
"fps": fps
},
})
story_gen_agent = MMStoryAgent()
story_gen_agent.compose_storytelling_video(config, story_data)
# video_output
return Path(config["story_dir"]) / "output.mp4"
with gr.Blocks(theme=gr.themes.Soft()) as demo:
gr.HTML("""
<h1 style="text-align: center;">MM-StoryAgent</h1>
<p style="font-size: 16px;">This is a demo for generating attractive storytelling videos based on the given story setting.</p>
<p style="font-size: 16px;">Depending on the chapter number, the generation may take a long time. Please be patient.</p>
""")
config = gr.State(deepcopy(config))
with gr.Row():
with gr.Column():
story_topic = gr.Textbox(label="Story Topic", value=default_story_setting["story_topic"])
main_role = gr.Textbox(label="Main Role", value=default_story_setting["main_role"])
scene = gr.Textbox(label="Scene", value=default_story_setting["scene"])
chapter_num = gr.Number(label="Chapter Number", value=default_story_gen_config["num_outline"])
temperature = gr.Slider(minimum=0.0, maximum=1.0, step=0.01, label="Temperature", value=default_story_gen_config["temperature"])
with gr.Accordion("Detailed Image Configuration (Optional)", open=False):
height = gr.Slider(label="Height", minimum=256, maximum=1024, step=32, value=default_image_config["obj_cfg"]['height'])
width = gr.Slider(label="Width", minimum=256, maximum=1024, step=32, value=default_image_config["obj_cfg"]['width'])
image_seed = gr.Number(label="Image Seed", value=default_image_config["call_cfg"]['seed'])
with gr.Accordion("Detailed Sound Configuration (Optional)", open=False):
sound_guidance_scale = gr.Slider(label="Guidance Scale", minimum=0.0, maximum=7.0, step=0.5, value=default_sound_config["call_cfg"]['guidance_scale'])
sound_seed = gr.Number(label="Sound Seed", value=default_sound_config["call_cfg"]['seed'])
n_candidate_per_text = gr.Slider(label="Number of Candidates per Text", minimum=0, maximum=5, step=1, value=default_sound_config["call_cfg"]['n_candidate_per_text'])
with gr.Accordion("Detailed Slideshow Effect (Optional)", open=False):
fade_duration = gr.Slider(label="Fade Duration", minimum=0.1, maximum=1.5, step=0.1, value=default_slideshow_effect['fade_duration'])
slide_duration = gr.Slider(label="Slide Duration", minimum=0.1, maximum=1.0, step=0.1, value=default_slideshow_effect['slide_duration'])
zoom_speed = gr.Slider(label="Zoom Speed", minimum=0.1, maximum=2.0, step=0.1, value=default_slideshow_effect['zoom_speed'])
move_ratio = gr.Slider(label="Move Ratio", minimum=0.8, maximum=1.0, step=0.05, value=default_slideshow_effect['move_ratio'])
sound_volume = gr.Slider(label="Sound Volume", minimum=0.0, maximum=1.0, step=0.1, value=default_slideshow_effect['sound_volume'])
music_volume = gr.Slider(label="Music Volume", minimum=0.0, maximum=1.0, step=0.1, value=default_slideshow_effect['music_volume'])
bg_speech_ratio = gr.Slider(label="Background / Speech Ratio", minimum=0.0, maximum=1.0, step=0.1, value=default_slideshow_effect['bg_speech_ratio'])
fps = gr.Slider(label="FPS", minimum=1, maximum=30, step=1, value=default_slideshow_effect['fps'])
with gr.Column():
story_data = gr.State([])
story_generation_information = gr.Markdown(
label="Story Generation Status",
value="<h3>Generating Story Script ......</h3>",
visible=False)
with gr.Accordion(label="Story Content", open=False, visible=False) as story_accordion:
with gr.Row():
prev_button = gr.Button("Previous Page",)
next_button = gr.Button("Next Page",)
story_content = gr.Textbox(label="Page Content")
video_generation_information = gr.Markdown(label="Generation Status", value="<h3>Generating Video ......</h3>", visible=False)
image_gallery = gr.Gallery(label="Images", show_label=False, visible=False)
video_generation_btn = gr.Button("Generate Video")
video_output = gr.Video(label="Generated Story", interactive=False)
current_page = gr.State(0)
prev_button.click(
fn=update_page,
inputs=[gr.State("prev"), current_page, story_data],
outputs=[current_page, story_content]
)
next_button.click(
fn=update_page,
inputs=[gr.State("next"), current_page, story_data],
outputs=[current_page, story_content,])
# (possibly) update role description and scripts
video_generation_btn.click(
fn=set_generating_progress_text,
inputs=[gr.State("Generating Story ...")],
outputs=video_generation_information
).then(
fn=write_story_fn,
inputs=[story_topic, main_role, scene,
chapter_num, temperature,
current_page,
config
],
outputs=[story_data, story_accordion, story_content, video_output]
).then(
fn=set_generating_progress_text,
inputs=[gr.State("Generating Modality Assets ...")],
outputs=video_generation_information
).then(
fn=modality_assets_generation_fn,
inputs=[height, width, image_seed, sound_guidance_scale, sound_seed,
n_candidate_per_text,
config,
story_data],
outputs=[image_gallery]
).then(
fn=set_generating_progress_text,
inputs=[gr.State("Composing Video ...")],
outputs=video_generation_information
).then(
fn=compose_storytelling_video_fn,
inputs=[fade_duration, slide_duration, zoom_speed, move_ratio,
sound_volume, music_volume, bg_speech_ratio, fps,
config,
story_data],
outputs=[video_output]
).then(
fn=lambda : gr.update(visible=False),
inputs=[],
outputs=[image_gallery]
).then(
fn=set_generating_progress_text,
inputs=[gr.State("Generation Finished!")],
outputs=video_generation_information
)
if __name__ == "__main__":
demo.launch() |