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from pulsar_clip import PulsarCLIP, CONFIG_SPEC
from datetime import datetime
import gradio as gr
def generate(*args):
pc = PulsarCLIP(dict([(k, t(v) if not isinstance(t, (tuple, list))
else (type(t[0])(v) if isinstance(t, tuple) else v))
for v, (k, v0, t) in zip(args,
(y for _, x in CONFIG_SPEC for y in x))]))
frames = []
for image in pc.generate():
frames.append(image)
from tqdm.auto import tqdm
from subprocess import Popen, PIPE
fps = 30
video_path = f"{datetime.strftime(datetime.now(), '%Y-%m-%d-%H-%M-%S')}.mp4"
if frames:
p = Popen((f"ffmpeg -y -f image2pipe -vcodec png -r {fps} -i - -vcodec libx264 -r {fps} "
f"-pix_fmt yuv420p -crf 17 -preset fast ").split() + [str(video_path)], stdin=PIPE)
for im in tqdm(frames):
im.save(p.stdin, "PNG")
p.stdin.close()
p.wait()
model_path = None # TODO
return [video_path, model_path]
with gr.Blocks() as ui:
gr.Markdown("# Pulsar+CLIP")
gr.Markdown("Generate 3D point clouds from text!")
with gr.Group():
gr.Markdown("## Settings")
inputs = []
defaults = []
with gr.Tabs():
for name, section in CONFIG_SPEC:
with gr.TabItem(name):
for k, v0, t in section:
if t in (float, int):
element = gr.Number(label=k, value=v0)
elif t == str:
element = gr.Textbox(label=k, value=v0)
elif t == bool:
element = gr.Checkbox(label=k, value=v0)
elif isinstance(t, tuple):
element = gr.Slider(*t, label=k, value=v0)
elif isinstance(t, list):
element = gr.Dropdown(label=k, value=v0, choices=t)
else:
raise TypeError(f"Input format {t} should be one of str, int, bool, tuple, list")
element = 1/0
inputs.append(element)
defaults.append(v0)
button = gr.Button("Run")
gr.Markdown("## Result")
with gr.Row():
with gr.Column():
video = gr.Video()
with gr.Column():
model = gr.Model3D()
button.click(fn=generate, inputs=inputs, outputs=[video, model])
gr.Markdown("## Examples")
gr.Examples(fn=generate, inputs=inputs, outputs=[video, model],
examples=[defaults], cache_examples=True, examples_per_page=1)
ui.launch()
demo = ui
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