rerun-viewer / app.py
abreza's picture
fix issues
5481052
raw
history blame
3.01 kB
import gradio as gr
from gradio_rerun import Rerun
from data.loader import load_simulation_data
from visualization.visualizer import visualize_simulation
from visualization.et_visualizer import visualize_et_data
def update_simulation_dropdown(file):
simulations, descriptions = load_simulation_data(file)
return gr.Dropdown(
choices=descriptions if descriptions else [],
value=None,
allow_custom_value=False
)
def create_app():
with gr.Blocks() as demo:
with gr.Tabs() as tabs:
with gr.Tab("Camera Simulation"):
gr.Markdown("""
# Camera Simulation Visualizer
Upload a JSON file containing camera simulation data and select a simulation to visualize.
""")
with gr.Row():
file_input = gr.File(
label="Upload Simulation JSON",
file_types=[".json"]
)
simulation_dropdown = gr.Dropdown(
label="Select Simulation",
choices=[],
type="index",
scale=2
)
with gr.Row():
viewer = Rerun(streaming=False)
file_input.change(
update_simulation_dropdown,
inputs=[file_input],
outputs=[simulation_dropdown]
)
simulation_dropdown.change(
visualize_simulation,
inputs=[file_input, simulation_dropdown],
outputs=[viewer]
)
with gr.Tab("E.T. Dataset"):
gr.Markdown("""
# E.T. Dataset Visualizer
Upload trajectory (.txt) and character (.npy) files to visualize the E.T. dataset.
""")
with gr.Row():
traj_file = gr.File(
label="Trajectory File (.txt)",
file_types=[".txt"]
)
char_file = gr.File(
label="Character File (.npy)",
file_types=[".npy"]
)
with gr.Row():
et_viewer = Rerun(streaming=False)
def process_et_files(traj_file, char_file):
if traj_file is None or char_file is None:
return None
return visualize_et_data(traj_file.name, char_file.name)
with gr.Row():
visualize_btn = gr.Button("Visualize")
visualize_btn.click(
process_et_files,
inputs=[traj_file, char_file],
outputs=[et_viewer]
)
return demo
if __name__ == "__main__":
demo = create_app()
demo.queue().launch(share=False)