Create app.py

app.py

@@ -0,0 +1,89 @@
+import streamlit as st
+import requests
+from bs4 import BeautifulSoup
+from io import BytesIO
+
+def get_auto_lot_info(query):
+    url = "https://ru.autoauctionspot.com/salvage-cars-auction/"
+    payload = {
+        'lot-type-available-to-bid': '1',
+        'search-term': query,
+    }
+
+    try:
+        response = requests.post(url, data=payload)
+        response.raise_for_status()
+
+        soup = BeautifulSoup(response.content, 'html.parser')
+        lot_title = soup.find('h1', class_='slider-name').text.strip()
+        damage_info = soup.find('div', class_='char-line')
+        damage_type_primary = damage_info.find('span', class_='char-info-envelope').text.strip()
+        damage_type_secondary = damage_info.find_all('span', class_='char-info-envelope')[1].text.strip()
+
+        lot_info = f"Лот: {lot_title}\nУщерб: {damage_type_primary}, {damage_type_secondary}\n"
+
+        char_wrap = soup.find_all('div', class_='char-wrap')
+        for char_box in char_wrap:
+            char_lines = char_box.find_all('div', class_='char-line')
+            for char_line in char_lines:
+                char_name = char_line.find('span', class_='char-name').text.strip()
+                char_info = char_line.find('span', class_='char-info').text.strip()
+                lot_info += f"{char_name}: {char_info}\n"
+
+        car_slider = soup.find('div', class_='car-slider')
+        image_links = [figure.a['href'] for figure in car_slider.find_all('figure')]
+
+        images = []
+        for link in image_links:
+            image_response = requests.get(link)
+            image_data = BytesIO(image_response.content)
+            images.append(image_data)
+
+        final_bid_info = soup.find('div', class_='copart-bid_final')
+        final_bid_title = final_bid_info.find('span', class_='copart-bid-title').text.strip()
+        final_bid_amount = final_bid_info.find('span', class_='copart-price').text.strip()
+        final_bid_info = f"{final_bid_title}: {final_bid_amount}"
+
+        return lot_info, images, final_bid_info
+
+    except requests.RequestException as e:
+        print(f"Ошибка при запросе {url}: {e}")
+        return None, None, None
+    except Exception as e:
+        print(f"Необработанная ошибка в get_auto_lot_info: {e}")
+        return None, None, None
+
+def main():
+    # Добавляем кликабельную надпись AlfaCross сверху
+    st.markdown("[AlfaCross](https://t.me/alfacross_bot)")
+
+    st.title("Auto Lot Info Web App")
+    query = st.text_input("Введите запрос для поиска лота:")
+
+    if st.button("Получить информацию о лоте"):
+        lot_info, images, final_bid_info = get_auto_lot_info(query)
+
+        if lot_info and images and final_bid_info:
+            st.markdown(lot_info)
+            
+            for image in images:
+                st.image(image)
+
+            st.markdown(final_bid_info)
+        else:
+            st.markdown("Информация о лоте не найдена.")
+
+    # Добавляем надпись Starchik снизу
+    st.markdown("[Starchik](https://t.me/Starchik_1)")
+
+# Добавим обработку GET-запросов
+if "query" in st.query_params:
+    query = st.query_params["query"]
+    lot_info, images, final_bid_info = get_auto_lot_info(query)
+    if lot_info and images and final_bid_info:
+        st.markdown(lot_info)
+        for image in images:
+            st.image(image)
+        st.markdown(final_bid_info)
+else:
+    main()