app.py

import requests
from bs4 import BeautifulSoup
import pandas as pd
import gradio as gr

def scrape_ttl(keyword):
    url = f"https://eshop.ttl.com.tw/b2b_cplistsrh.aspx?srh={keyword}"
    response = requests.get(url)
    soup = BeautifulSoup(response.content, 'html.parser')
    
    products = []
    prices = []
    
    # 抓取商品名稱
    for product in soup.find_all('a', class_='h4'):
        products.append(product.text.strip())
    
    # 抓取商品價格
    for price_box in soup.find_all('div', class_='price-box'):
        special_price = price_box.find('span', class_='price-product-price')
        regular_price = price_box.find('span', class_='price-product-genprice')
        
        if special_price:
            prices.append(special_price.text.strip())
        elif regular_price:
            prices.append(regular_price.text.strip())
        else:
            prices.append('N/A')
    
    # 創建DataFrame
    df = pd.DataFrame({
        '商品名稱': products,
        '價格': prices
    })
    
    return df

def search_and_display(keyword):
    df = scrape_ttl(keyword)
    return df

# 創建Gradio界面
iface = gr.Interface(
    fn=search_and_display,
    inputs=gr.Textbox(label="輸入關鍵字"),
    outputs=gr.Dataframe(),
    title="台灣菸酒商品搜索",
    description="輸入關鍵字搜索台灣菸酒商品"
)

# 啟動Gradio應用
iface.launch()