Update app.py

app.py

@@ -23,67 +23,25 @@ custom_css = """
 
 #api_key = os.getenv('groq')
 google_api_key = os.getenv('google_search')
-#if api_key is None:
-    #raise ValueError("groq_whisper environment variable is not set")
-
-# Initialize the Groq client
-#client = Groq(api_key=api_key)
 
 #very simple (and extremly fast) websearch  
 def websearch(prompt):  
     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"
     }
-    url = f"https://www.googleapis.com/customsearch/v1?key={google_api_key}&cx={cx}&q={prompt}"
-    
+    url = f"https://www.googleapis.com/customsearch/v1?key={google_api_key}&cx={cx}&q={prompt}"   
     response = requests.get(url, headers=headers)
     data = response.json()  # JSON-Daten direkt verarbeiten
     # Extrahieren des Textes aus den Ergebnissen
     items = data.get('items', [])       
     results = [item['snippet'] for item in items]
-    result_text = '\n'.join(results)
-    return results[0]
-    return result_text
-    
-    # URL der Google Custom Search API
-    url = f"https://www.googleapis.com/customsearch/v1?key={google_api_key}&cx={cx}&q={prompt}"
-    response = requests.get(url, headers=headers)
-    soup = BeautifulSoup(response.content, 'html.parser')
-    response_text = soup.find('body')
-    #prompt = f"{search_term}\n use this result from a google search to answer the question \n {response_text.text}"
-    #result = predict(prompt)
-    return response_text.text
-
-
-
-def perform_search(prompt):
-    if prompt.strip() == '':
-        return ''  # Return empty string for empty search
-
-    # URL der Google Custom Search API
-    url = f"https://www.googleapis.com/customsearch/v1?key={google_api_key}&cx={cx}&q={prompt}"
-
-    try:
-        # HTTP GET-Anfrage an die Google Custom Search API
-        response = requests.get(url)
-        # JSON-Antwort parsen
-        data = response.json()       
-        # Extrahiere die Suchergebnisse
-        items = data.get('items', [])       
-        results = [item['snippet'] for item in items]
-        #return results[0]
-        # Kombiniere die Ergebnisse zu einem String
-        result_text = '\n'.join(results)
-        #return results[0]
-        # Formuliere die Antwort
-        #search_query = f"{prompt} antworte kurz und knapp. antworte auf deutsch. du findest die antwort hier: {result_text}"
-        #result = predict(search_query)
-        #return result
-        return result_text
-
-    except requests.exceptions.RequestException as e:
-        print(f"An error occurred: {e}")
-        return ''
+    result_text = '\n'.join(results)   
+    # Formuliere die Antwort
+    search_query = f"{prompt} antworte kurz und knapp. antworte auf deutsch. du findest die antwort hier: {result_text}"
+    result = predict(search_query)
+    return result
+    #return results[0]
+    #return result_text
 
 def predict(prompt):
     generation_config = {