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import os
import gradio as gr
import pandas as pd
from models.gurobi_models import solve_diet_problem, solve_plne
from ui.gradio_sections import diet_problem_tab, project_info_tab, vehicle_routing_tab
# Mock Data for Vehicle Routing Problem
plne_df = pd.DataFrame(
[
{"Node": 0, "X": 50, "Y": 50, "Demand": 0},
{"Node": 1, "X": 20, "Y": 20, "Demand": 10},
{"Node": 2, "X": 80, "Y": 20, "Demand": 15},
{"Node": 3, "X": 20, "Y": 80, "Demand": 10},
{"Node": 4, "X": 80, "Y": 80, "Demand": 10},
{"Node": 5, "X": 50, "Y": 10, "Demand": 20},
]
)
# Descriptions
plne_description = """
### 🚚 Capacitated Vehicle Routing Problem
Provide node coordinates and demands, plus vehicle capacity and number of vehicles.
"""
diet_description = """
### 🍎 Diet Problem
Find the optimal diet that minimizes cost while meeting nutritional requirements.
"""
# Read and encode the PDF - go up one directory to find assets at project root
favicon_path = os.path.join(os.path.dirname(__file__), "assets", "favicon.ico")
# Assemble UI
with gr.Blocks(title="Operations Research App") as ro_app:
gr.Markdown(
"""
<div style="display: flex; align-items: center; gap: 20px;">
<img src="https://insat.rnu.tn/assets/images/logo_c.png" width="100">
<div>
<h1 style="margin-bottom: 5px;">Operations Research Project</h1>
<p style="margin-top: 0; font-size: 14px; color: gray;">Choose the convenient tab to solve a problem</p>
</div>
</div>
"""
)
with gr.Tabs():
project_info_tab()
diet_problem_tab(solve_diet_problem, diet_description)
vehicle_routing_tab(plne_df, solve_plne, plne_description)
if __name__ == "__main__":
ro_app.launch(favicon_path=favicon_path)
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