Update app.py

app.py

@@ -2,7 +2,6 @@ import os
 os.system("pip install 'smolagents[openai]'")  # ✅ Installa SmolAgents con OpenAI
 from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool, OpenAIServerModel
 import datetime
-import wikipediaapi
 import requests
 import pytz
 import yaml
@@ -42,25 +41,25 @@ 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:
 # model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud' 
 
+# 1️⃣ Creiamo il Tool di ricerca su DuckDuckGo
 @tool
-def search_wikipedia(query: str, lang: str = "it") -> str:
-    """Fetches a summary from Wikipedia for a given topic.
+def search_duckduckgo(query: str) -> str:
+    """Performs a web search using DuckDuckGo and returns the first result summary.
     
     Args:
-        query: The search term for Wikipedia.
-        lang: Language of the Wikipedia page (default: Italian).
+        query: The search term.
     
     Returns:
-        A short summary from Wikipedia.
+        A summary of the first result found.
     """
-    user_agent = "MyAgent/1.0 (Contact: [email protected])"  # ✅ Aggiungi un User-Agent personalizzato
-    wiki_wiki = wikipediaapi.Wikipedia(lang, user_agent=user_agent)  # 🔥 Ora Wikipedia accetterà la richiesta
-    page = wiki_wiki.page(query)
+    search_tool = DuckDuckGoSearchTool()  # ✅ Inizializza il motore di ricerca
+    results = search_tool(query)  # 🔍 Esegue la ricerca
 
-    if not page.exists():
-        return f"Nessuna pagina trovata per '{query}' su Wikipedia."
+    if not results:
+        return f"Nessun risultato trovato per '{query}'."
 
-    return page.summary[:500] + "..."  # Restituiamo un riassunto breve
+    top_result = results[0]  # 📌 Prendiamo il primo risultato
+    return f"🔎 {top_result['title']}\n{top_result['snippet']}\n🔗 {top_result['link']}"
 
 
 model = OpenAIServerModel(
@@ -85,7 +84,7 @@ with open("prompts.yaml", 'r') as stream:
     
 agent = CodeAgent(
     model=model,
-    tools=[final_answer, get_current_time_in_timezone, image_generation_tool, search_wikipedia],
+    tools=[final_answer, get_current_time_in_timezone, image_generation_tool, search_duckduckgo],
     max_steps=6,
     verbosity_level=1,
     grammar=None,