Spaces:
Running
Running
File size: 4,132 Bytes
7c1eee1 f273102 7c1eee1 f8f1d3f 7c1eee1 d75a844 f273102 7c1eee1 d75a844 f273102 7c1eee1 d75a844 7c1eee1 d75a844 7c1eee1 d75a844 7c1eee1 3e3ca46 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 |
import gradio as gr
import os
import json
from serve.gradio_web_t2s import *
from serve.gradio_web_i2s import *
from serve.leaderboard import build_leaderboard_tab, build_empty_leaderboard_tab
from model.model_manager import ModelManager
from pathlib import Path
from constants import SERVER_PORT, ROOT_PATH, ELO_RESULTS_DIR
def build_combine_demo(models, elo_results_file, leaderboard_table_file):
with gr.Blocks(
title="Play with Open 3D Generative Models",
theme=gr.themes.Default(),
css=block_css,
) as demo:
with gr.Tabs() as tabs_combine:
with gr.Tab("Text-to-3D Generation", id=0):
with gr.Tabs() as tabs_ig:
with gr.Tab("Text-to-3D Arena (battle)", id=0):
build_t2s_ui_side_by_side_anony(models)
with gr.Tab("Text-to-3D Arena (side-by-side)", id=1):
build_t2s_ui_side_by_side_named(models)
with gr.Tab("Text-to-3D Direct Chat", id=2):
build_t2s_ui_single_model(models)
if elo_results_file:
with gr.Tab("Text-to-3D Leaderboard", id=3):
build_leaderboard_tab(elo_results_file['text2shape'], leaderboard_table_file['text2shape'])
else:
with gr.Tab("Text-to-3D Leaderboard", id=3):
build_empty_leaderboard_tab()
with gr.Tab("About Us", id=4):
build_about()
with gr.Tab("Image-to-3D Generation", id=5):
with gr.Tabs() as tabs_ie:
with gr.Tab("Image-to-3D Arena (battle)", id=5):
build_i2s_ui_side_by_side_anony(models)
with gr.Tab("Image-to-3D Arena (side-by-side)", id=6):
build_i2s_ui_side_by_side_named(models)
with gr.Tab("Image-to-3D Direct Chat", id=7):
build_i2s_ui_single_model(models)
if elo_results_file:
with gr.Tab("Image-to-3D Leaderboard", id=8):
build_leaderboard_tab(elo_results_file['image2shape'], leaderboard_table_file['image2shape'])
else:
with gr.Tab("Image-to-3D Leaderboard", id=8):
build_empty_leaderboard_tab()
with gr.Tab("About Us", id=9):
build_about()
return demo
def load_elo_results(elo_results_dir):
from collections import defaultdict
elo_results_file = defaultdict(lambda: None)
leaderboard_table_file = defaultdict(lambda: None)
if elo_results_dir is not None:
elo_results_dir = Path(elo_results_dir)
elo_results_file = {}
leaderboard_table_file = {}
for file in elo_results_dir.glob('elo_results_*.pkl'):
if 'text2shape' in file.name:
elo_results_file['text2shape'] = file
elif 'image2shape' in file.name:
elo_results_file['image2shape'] = file
else:
raise ValueError(f"Unknown file name: {file.name}")
for file in elo_results_dir.glob('*_leaderboard.csv'):
if 'text2shape' in file.name:
leaderboard_table_file['text2shape'] = file
elif 'image2shape' in file.name:
leaderboard_table_file['image2shape'] = file
else:
raise ValueError(f"Unknown file name: {file.name}")
return elo_results_file, leaderboard_table_file
if __name__ == "__main__":
server_port = int(SERVER_PORT)
root_path = ROOT_PATH
elo_results_dir = ELO_RESULTS_DIR
models = ModelManager()
elo_results_file, leaderboard_table_file = load_elo_results(elo_results_dir)
# elo_results_file, leaderboard_table_file = None, None
demo = build_combine_demo(models, elo_results_file, leaderboard_table_file)
demo.queue(max_size=20).launch(server_port=server_port, root_path=ROOT_PATH, debug=True) |