Update app.py

app.py

@@ -378,12 +378,12 @@ def web_search_and_extract_threading(
 async def adv_web_search(
     q: str,
     model: str = "gpt-4o-mini",  # Use webs.chat by default
-    max_results: int = 3,
+    max_results: int = 5,
     timelimit: Optional[str] = None,
     safesearch: str = "moderate",
     region: str = "wt-wt",
     backend: str = "html",
-    max_chars: int = 6000,
+    max_chars: int = 15000,
     system_prompt: str = "You are an advanced AI chatbot. Provide the best answer to the user based on Google search results.",
     proxy: Optional[str] = None
 ):
@@ -393,18 +393,12 @@ async def adv_web_search(
     try:
         with WEBS(proxy=proxy) as webs:
             # 1. Perform the web search
-            search_results = webs.text(keywords=q, region=region,
+            extracted_text = str(web_search_and_extract_threading(q=q, region=region,
                                      safesearch=safesearch,
                                      timelimit=timelimit, backend=backend,
-                                     max_results=max_results)
+                                     max_results=max_results))
 
-            # 2. Extract text from top search result URLs asynchronously
-            extracted_text = ""
-            tasks = [fetch_and_extract(result['href'], max_chars, proxy) for result in search_results if 'href' in result]
-            extracted_results = await asyncio.gather(*tasks)
-            for result in extracted_results:
-                if result['text']:
-                    extracted_text += f"## Content from: {result['link']}\n\n{result['text']}\n\n"
+            extracted_text = extracted_text[:max_chars]
 
         # 3. Construct the prompt for the chat model
         ai_prompt = (