Update app.py

app.py

@@ -23,6 +23,17 @@ custom_css = """
 api_key = os.getenv('groq')
 client = groq.Client(api_key=api_key)
 
+
+def qwen(jsondata):
+    client = Client("Qwen/Qwen2.5-72B-Instruct")
+    result = client.predict(
+		query= f"return a valid json object \n {jsondata}",
+		history=[],
+		system="You are Qwen, created by Alibaba Cloud. You are a helpful assistant.",
+		api_name="/model_chat"
+)
+return result
+
 def llm(message):
     message = f"return a json object with the keys: name,email,phone,website \n the values can be found here, leave blank if value is not available:\n {message} \n return a json object only. no text, no explanaition"
     try:        
@@ -93,19 +104,19 @@ def process_ort(ort):
         #vereine.append(contact_detailes)
         vereine.append(json_object)
         
+    valid_json = qwen(vereine)
     # Convert JSON string to Python dictionary
-    #data_dict = json.loads(vereine)
-    # Convert dictionary to DataFrame
-    #df = pd.DataFrame(data_dict)
-    #return df      
+    data_dict = json.loads(valid_json)
+    Convert dictionary to DataFrame
+    df = pd.DataFrame(data_dict)
+    return df      
     return vereine
 
-
 # Create the Gradio interface
 with gr.Blocks(css=custom_css) as demo:
     with gr.Row():
-        #details_output = gr.Markdown(label="answer", elem_id="md")        
-        details_output = gr.Textbox(label="Ausgabe", value = f"\n\n\n\n")  
+        details_output = gr.DataFrame(label="answer", elem_id="md")        
+        #details_output = gr.Textbox(label="Ausgabe", value = f"\n\n\n\n")  
     with gr.Row():
         ort_input = gr.Textbox(label="prompt", placeholder="ask anything...")      
     with gr.Row():