# -*- coding: utf-8 -*-
# ===================================================
#
# Author : Fan Zhang
# Email : zhangfan@baai.ac.cn
# Institute : Beijing Academy of Artificial Intelligence (BAAI)
# Create On : 2023-12-11 15:34
# Last Modified : 2023-12-21 01:55
# File Name : app.py
# Description :
#
# ===================================================
import os
os.system("pip uninstall -y gradio")
os.system("pip install gradio==3.40.1")
import argparse
import gradio as gr
from demo.generation_frontend import build_generation
from demo.chat_frontend import build_chat
parser = argparse.ArgumentParser()
parser.add_argument("--title", type=str, default='Emu')
parser.add_argument("--host", type=str, default="0.0.0.0")
parser.add_argument("--port", type=int, default=9002)
parser.add_argument("--share", action="store_true")
parser.add_argument("--controller-url", type=str, default="http://218.91.113.230:9003")
parser.add_argument("--concurrency-count", type=int, default=2)
parser.add_argument("--disable-chat", action="store_true")
parser.add_argument("--disable-generate", action="store_true")
args = parser.parse_args()
if __name__ == "__main__":
title = "Emu2: Generative Multimodal Models are In-Context Learners
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interface_list, tab_names = [], []
if not args.disable_generate:
demo_generation = build_generation(args)
interface_list.append(demo_generation)
tab_names.append("Multimodal Generation")
if not args.disable_chat:
demo_chat = build_chat(args)
interface_list.append(demo_chat)
tab_names.append("Multimodal Chat")
demo_all = gr.TabbedInterface(
interface_list=interface_list,
tab_names=tab_names,
title=title,
theme=gr.themes.Default(primary_hue="blue", secondary_hue="blue"),
)
demo_all.queue(
concurrency_count=args.concurrency_count,
status_update_rate=3,
api_open=False,
).launch(
enable_queue=True,
share=args.share,
)