Update app.py

app.py

@@ -5,7 +5,7 @@ from urllib.parse import urljoin
 from gradio_client import Client
 import json
 import csv
-#import pandas
+import pandas
 
 client = Client("mgokg/PerplexicaApi")
 
@@ -70,22 +70,31 @@ def scrape_links(links):
         contact_details.append(result)
         
     return contact_details
-    
+
+# Speichere die JSON-Daten in eine CSV-Datei 
+def save_to_csv(data, filename): 
+    keys = data[0].keys() 
+    with open(filename, 'w', newline='', encoding='utf-8') as output_file: 
+        dict_writer = csv.DictWriter(output_file, fieldnames=keys) 
+        dict_writer.writeheader() 
+        dict_writer.writerows(data)
+
 # Erstelle die Gradio-Schnittstelle
 with gr.Blocks() as demo:
     gr.Markdown("# ")  
     ort_input = gr.Textbox(label="Ort", placeholder="Gib den Namen des Ortes ein")
     #links_output = gr.Textbox(label="Ergebnisse")
-    #links_output = gr.Dataframe(label="Ergebnisse", interactive=True)
-    links_output = gr.JSON(label="Ergebnisse")
+    links_output = gr.Dataframe(label="Ergebnisse", interactive=True)
+    #links_output = gr.JSON(label="Ergebnisse")
 
     def process_ort(ort):
         links = parse_links_and_content(ort)
-        contact= scrape_links(links)
-        #return pd.DataFrame(contact)
+        contact= scrape_links(links)      
         json_data = [json.loads(item) for item in contact] 
+        #save_to_csv(json_data, 'contact_details.csv')
         #return contact
-        return json_data
+        return pd.DataFrame(json_data)
+        #return json_data
         
     # Button zum Starten der Parsung
     button = gr.Button("senden")