Update app.py

app.py

@@ -100,11 +100,11 @@ def scrape_links(links):
             # Extract the name of the Verein from the URL
             vereinsname = parts[-1] if parts[-1] else parts[-2]  # Fallback to the second-to-last part if the last part is empty
             texte = target_nav.text.strip()
-            texte=texte.replace("Amtsgericht: Schweinfurt", "")
-            texte=texte.replace("Adresse folgt", "")
-            texte=texte.replace("Adresse", "Adresse:")
-            texte=texte.replace("Kontakt", "Email:")
-            texte=texte.replace("Noch keine Daten vorhanden", "")
+            texte = texte.replace("Amtsgericht: Schweinfurt", "")
+            texte = texte.replace("Adresse folgt", "")
+            texte = texte.replace("Adresse", "Adresse:")
+            texte = texte.replace("Kontakt", "Email:")
+            texte = texte.replace("Noch keine Daten vorhanden", "")
 
             if target_nav:
                 details.append(f"Verein: {vereinsname} {texte}")
@@ -113,9 +113,7 @@ def scrape_links(links):
         except Exception as e:
             details.append(f"Error: {str(e)}")
 
-    #details= gr.Markdown()
     return details
-    
 
 def save_to_csv(data, filename):
     keys = data[0].keys() if data else []
@@ -134,15 +132,23 @@ with gr.Blocks() as demo:
     with gr.Row():
         ort_input = gr.Textbox(label="Ort", placeholder="Gib den Namen des Ortes ein")
     with gr.Row():
-        #details_output = gr.JSON(label="Kontaktinformation")
-        details_output= gr.JSON(label="Vereinsliste")
+        details_output = gr.JSON(label="Vereinsliste")
 
     def process_ort(ort):
         links_text, links = parse_links_and_content(ort)
         contact_details = scrape_links(links)
-        #json_data = [json.loads(detail) for detail in contact_details if detail.startswith("{")]
-        #save_to_csv(json_data, './contact_details.csv')
-        return contact_details
+        
+        from gradio_client import Client
+
+        qwen_client = Client("Qwen/Qwen2.5-72B-Instruct")
+        result = qwen_client.predict(
+            query=f"return a valid json objects with contact details foreach verein \n {contact_details}",
+            history=[],
+            system="you are a expert for json data and your job is to extract information from text and return a valid json object only. no text no explanations",
+            api_name="/model_chat"
+        )
+        return result
+        # return contact_details
 
     with gr.Row():
         clearbutton = gr.Button("Clear")