Update app.py

app.py

@@ -33,7 +33,50 @@ def get_current_time_in_timezone(timezone: str) -> str:
     except Exception as e:
         return f"Error fetching time for timezone '{timezone}': {str(e)}"
 
+from bs4 import BeautifulSoup
+import requests
+
+class TiktokTrendTool:
+    def __init__(self):
+        self.name = "TiktokTrendTool"
+        self.description = "Tool to scrape TikTok trends from public web pages."
+        self.arguments = ["region", "language"]
+        self.outputs = "list of trending hashtags or videos"
+
+    def fetch_tiktok_trends(self, region="world", language="en"):
+        # URL de recherche publique des tendances TikTok (à adapter si besoin)
+        url = f"https://www.tiktok.com/tag/trending?lang={language}&region={region}"
+        
+        # Effectuer la requête HTTP
+        response = requests.get(url, headers={"User-Agent": "Mozilla/5.0"})
+        
+        if response.status_code != 200:
+            raise Exception(f"Failed to fetch trends: {response.status_code}")
+        
+        # Analyser le HTML de la page
+        soup = BeautifulSoup(response.text, 'html.parser')
+        
+        # Extraire les hashtags populaires ou titres de vidéos
+        trends = []
+        for tag in soup.find_all('a', {'class': 'tiktok-trend-link'}):
+            trends.append(tag.text.strip())
+        
+        # Si aucune tendance trouvée, retourne un message
+        if not trends:
+            trends.append("No trends found. The page structure might have changed.")
+        
+        return trends
+
+    def __call__(self, region="world", language="en"):
+        return self.fetch_tiktok_trends(region, language)
+
+    def to_string(self):
+        return f"{self.name}: {self.description}\nArguments: {self.arguments}\nOutputs: {self.outputs}"
 
+# Exemple d'utilisation
+tool = TiktokTrendTool()
+trends = tool(region="us", language="en")
+print("TikTok Trends:", trends)
 final_answer = FinalAnswerTool()
 
 # If the agent does not answer, the model is overloaded, please use another model or the following Hugging Face Endpoint that also contains qwen2.5 coder: