Update app.py

app.py

@@ -8,6 +8,7 @@ from groq import Groq
 # Load environment variables
 genai.configure(api_key=os.environ["geminiapikey"])
 read_key = os.environ.get('HF_TOKEN', None)
+cx="77f1602c0ff764edb"
 
 custom_css = """
 #md {
@@ -21,14 +22,43 @@ 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)
 
+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)
+        response.raise_for_status()  # Wirft eine Exception, wenn die Anfrage fehlschlägt
+
+        # JSON-Antwort parsen
+        data = response.json()
+
+        # Extrahiere die Suchergebnisse
+        items = data.get('items', [])
+        results = [item['snippet'] for item in items]
+
+        # Kombiniere die Ergebnisse zu einem String
+        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}"
+        
+        return search_query
 
+    except requests.exceptions.RequestException as e:
+        print(f"An error occurred: {e}")
+        return ''
 
 def predict(prompt):
     generation_config = {
@@ -100,7 +130,7 @@ with gr.Blocks(css=custom_css) as demo:
         button = gr.Button("Senden")    
 
     # Connect the button to the function
-    button.click(fn=websearch, inputs=ort_input, outputs=details_output)   
+    button.click(fn=perform_search, inputs=ort_input, outputs=details_output)   
 
 # Launch the Gradio application
 demo.launch()