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import gradio as gr | |
from gui.content_automation_ui import GradioContentAutomationUI | |
from gui.ui_abstract_base import AbstractBaseUI | |
from gui.ui_components_html import GradioComponentsHTML | |
from gui.ui_tab_asset_library import AssetLibrary | |
from gui.ui_tab_config import ConfigUI | |
from shortGPT.utils.cli import CLI | |
class ShortGptUI(AbstractBaseUI): | |
'''Class for the GUI. This class is responsible for creating the UI and launching the server.''' | |
def __init__(self, colab=True): | |
super().__init__(ui_name='gradio_shortgpt') | |
self.colab = colab | |
CLI.display_header() | |
def create_interface(self): | |
'''Create Gradio interface''' | |
with gr.Blocks(css="footer {visibility: hidden}", title="ShortGPT Demo") as shortGptUI: | |
with gr.Row(variant='compact'): | |
gr.HTML(GradioComponentsHTML.get_html_header()) | |
self.content_automation = GradioContentAutomationUI(shortGptUI).create_ui() | |
self.asset_library_ui = AssetLibrary().create_ui() | |
self.config_ui = ConfigUI().create_ui() | |
return shortGptUI | |
def launch(self): | |
'''Launch the server''' | |
shortGptUI = self.create_interface() | |
shortGptUI.queue(max_size=20).launch(server_port=31415, height=1000, share=True, server_name="0.0.0.0", max_threads=5) | |
if __name__ == "__main__": | |
app = ShortGptUI() | |
app.launch() | |