app.py

import gradio as gr
import pandas as pd
import numpy as np
from prophet.serialize import model_from_json

province_mapping = {
    'Bangkok': 'กรุงเทพฯ',
    'Nakohn Pathom': 'นครปฐม',
    'Pathum Thani': 'ปทุมธานี',
    'Nakohn Nayok': 'นครนายก',
    'Nonthaburi': 'นนทบุรี',
    'Samut Songkhram': 'สมุทรสงคราม'
}

with open('prophet_model.json', 'r') as fin:
    prophet_model = model_from_json(json.load(fin))

def will_rain(year, month, date):
    _date = pd.to_datetime(f'{year}-{month}-{date}')
    _df = pd.DataFrame({'ds': [_date]})
    _prediction = prophet_model.predict(_df)
    _prediction = float(_prediction['yhat'])
    return _prediction >= 0.5

def get_advice(province, activity, purpose, year, month, date):
    is_rain = will_rain(year, month, date)
    activity = 'indoor' if is_rain else activity.lower()
    
    province = province_mapping[province]
    
    places = pd.read_csv('Places.csv')
    places.replace({'indoor ': 'indoor', 'outdoor ': 'outdoor'}, inplace=True)
    places = places[(places['จังหวัด'] == province) & (places['indoor/outdoor'] == activity) & (places['หมวดหมู่'] == purpose.lower())]
    
    random_idx = np.random.randint(0, len(places))
    place_name = places.iloc[random_idx]['ที่เที่ยว']
    close_day = places.iloc[random_idx]['ปิดวัน']
    open_hour = places.iloc[random_idx]['เวลา']
    
    advice = f"It might rain on {year}-{month}-{date}, so we suggest you to go indoor place such as {place_name}." if is_rain else f"It might not rain on {year}-{month}-{date}, so we suggest you to go to place such as {place_name}."
    
    return advice, place_name, close_day, open_hour

iface = gr.Interface(
    fn=get_advice,
    inputs=[
        gr.Dropdown(["Bangkok", 'Nakohn Pathom', 'Pathum Thani', 'Nakohn Nayok', 'Nonthaburi', 'Samut Songkhram'], label="Province",),
        gr.Dropdown(["indoor", "outdoor"], label="Activity"),
        gr.Dropdown(["shopping", "relax", 'education', 'culture', 'nature'], label="Purpose"),
        gr.Dropdown([2024], label="Year"),
        gr.Dropdown([i for i in range(1, 13)], label="Month"),
        gr.Dropdown([i for i in range(1, 32)], label="Date"),
    ],
    outputs=[
        gr.components.Textbox(label='Advice'),
        gr.components.Textbox(label="Place Name"),
        gr.components.Textbox(label="Close day"),
        gr.components.Textbox(label="Open hour"),
    ],
    live=True,
    title="Right place, Right day",
    description="Get the weather forecast for a place you would like to go.",
    theme="default"
)

iface.launch()