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import gradio as gr
from functools import partial
from get_similar_program import search_programs
import pandas as pd
title = "Planeta Sales Copilot Confidential Demo [Tatooine] 🛫"
desc = "IA copilot pour comerciaux. Cette application permet, a partir de la description d'un profil de chercher rapidement dans un vaste catalogue de formation celle qui est la plus pertinente"
# "This is a tool that helps you find quickly relevant Formations on a topic or a problem you have. Just type in plain English what you are looking for in the box below.\n\n"
with gr.Blocks(title=title) as demo:
gr.Markdown(f"# {title}")
with gr.Row():
with gr.Column(scale=8):
gr.Markdown("**"+desc+"**")
# with gr.Column(scale=8):
# status = gr.Markdown("## Statut du prospect")
gr.Markdown("## Catalogue de formation")
# with gr.Column(scale=4):
with gr.Row():
with gr.Column(scale = 8):
text_area = gr.Textbox(placeholder="Ecrivez ici", lines=3, label="Décrivez le profil de votre prospect")
with gr.Accordion("Tous les résultats:", ):
output = gr.Markdown("Vide")
with gr.Column(scale = 2):
search_button = gr.Button(value="Trouver des Formations")
number_to_display = gr.Number(value=10,label = "Nombre de Formations à afficher")
augment = gr.Checkbox(label = "Enrichir le profil [IA] (Peut mettre plusieurs secondes))", info="Utiliser l'IA pour enrichir la description du profil")
filter = gr.CheckboxGroup(['OBS', 'UNIBA', 'OSTELEA','VIU', 'ESLSCA', 'EAE','ESDESIGN,', 'EGE', 'EDC','SMS', 'SUP DE LUXE', 'IFP','INESDI', 'ROME BUSINESS SCHOOL','BARCELONA CULINARY HUB'],
value = ['OBS', 'UNIBA', 'OSTELEA','VIU', 'ESLSCA', 'EAE','ESDESIGN,', 'EGE', 'EDC','SMS', 'SUP DE LUXE', 'IFP','INESDI', 'ROME BUSINESS SCHOOL','BARCELONA CULINARY HUB'],
label="Ecole", info="Filtrer par école")
search_function = partial(search_programs)
search_button.click(fn=search_function, inputs=[text_area,number_to_display, augment, filter], outputs=[output])
demo.launch(max_threads=40, show_error=True)
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