Chris-lab / app.py
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import gradio as gr
from pages.arena import create_arena
from pages.summarization_playground import create_summarization_interface
from pages.leaderboard import create_leaderboard
from pages.batch_evaluation import create_batch_evaluation_interface
def welcome_message():
return """## Clinical Dialogue Summarization
This application is for **display** and is designed to facilitate **fast prototyping** and **experimentation.**
Select a demo from the sidebar below to begin experimentation."""
with gr.Blocks() as demo:
with gr.Column(scale=4):
content = content = gr.Blocks(
gr.Markdown(
welcome_message()
)
)
with gr.Tabs() as tabs:
with gr.TabItem("Summarization"):
create_summarization_interface()
with gr.TabItem("Leaderboard"):
create_leaderboard()
with gr.TabItem("Batch_Evaluation"):
create_batch_evaluation_interface()
with gr.TabItem("Arena"):
create_arena()
if __name__ == "__main__":
demo.launch()