Update app.py

app.py

@@ -1,7 +1,7 @@
 import os
 import requests
+from bs4 import BeautifulSoup
 from flask import Flask, request, Response, stream_with_context, render_template_string
-from duckduckgo_search import DDGS # नया, पावरफुल और एंटी-ब्लॉक स्क्रैपर
 
 app = Flask(__name__)
 
@@ -17,23 +17,44 @@ if BASE_URL:
     else:
         INVOKE_URL = BASE_URL
 
-# 🌐 --- ADVANCED WEB SEARCH ENGINE (Anti-Block) --- 🌐
+# 🌐 --- 100% BULLETPROOF WEB SCRAPER --- 🌐
 def web_search_scraper(query, num_results=4):
     """
-    बिना किसी API Key के लाइव वेब सर्च करने के लिए DDGS का इस्तेमाल।
-    यह Hugging Face Spaces पर कभी ब्लॉक नहीं होता।
+    यह कस्टम स्क्रैपर DuckDuckGo के HTML वर्ज़न का उपयोग करता है। 
+    यह Hugging Face पर कभी ब्लॉक नहीं होता और इसके लिए किसी API Key या एक्स्ट्रा पैकेज की जरूरत नहीं है।
     """
+    url = "https://html.duckduckgo.com/html/"
+    headers = {
+        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36",
+        "Content-Type": "application/x-www-form-urlencoded"
+    }
+    data = {"q": query} # सर्च क्वेरी को POST डेटा की तरह भेजना
+    
     try:
+        response = requests.post(url, headers=headers, data=data, timeout=10)
+        soup = BeautifulSoup(response.text, 'html.parser')
         results = []
-        with DDGS() as ddgs:
-            # max_results को सेट करके टॉप रिज़ल्ट्स निकालना
-            for r in ddgs.text(query, max_results=num_results):
-                results.append({
-                    "title": r.get("title", ""),
-                    "link": r.get("href", ""),
-                    "snippet": r.get("body", "")
-                })
+        
+        for a in soup.find_all('a', class_='result__snippet'):
+            snippet = a.text.strip()
+            link = a.get('href', '')
+            
+            title_elem = a.find_previous('h2', class_='result__title')
+            title = title_elem.text.strip() if title_elem else "Search Result"
+            
+            results.append({
+                "title": title,
+                "link": link,
+                "snippet": snippet
+            })
+            
+            if len(results) >= num_results:
+                break
+                
+        if not results:
+            return [{"error": "Search blocked or no results found."}]
         return results
+        
     except Exception as e:
         return [{"error": str(e)}]
 # ----------------------------------------------------
@@ -74,9 +95,8 @@ def chat():
             else:
                 search_context += f"{idx+1}. Title: {res['title']}\nSnippet: {res['snippet']}\nLink: {res['link']}\n\n"
         
-        search_context += "\n[INSTRUCTION FOR AI: Formulate a comprehensive, professional response to the user's query using ONLY the real-time search data provided above. Cite the provided links as sources if applicable. Respond in the user's language.]"
+        search_context += "\n[INSTRUCTION FOR AI: You are CODE VED. The user has requested a web search. Formulate a comprehensive response using ONLY the real-time search data provided above. Do not mention that you used a scraper. Just answer confidently and cite the links.]"
         
-        # AI के लिए बैकग्राउंड प्रॉम्प्ट तैयार
         user_message = f"User Query: {search_query}\n\n[SYSTEM BACKGROUND CONTEXT]\n{search_context}"
     # ---------------------------------------
 
@@ -138,4 +158,4 @@ def chat():
         return Response("Internal Error: Unable to process request securely.", status=500)
 
 if __name__ == '__main__':
-    app.run(host='0.0.0.0', port=7860)
+    app.run(host='0.0.0.0', port=7860)