Update app.py

app.py

@@ -1,4 +1,3 @@
-
 import gradio as gr
 import os
 from huggingface_hub import login
@@ -26,19 +25,19 @@ def process_query(query, chat_history):
         if len(results)>0:
         # Get response from chat manager
             response = legal_chat.get_response(results[0]['content'], query=query)
-            response_final = f"""{response}\n\nsource:[case_id:{results[0]['metadata']['case_id']}]"""
+            response_final = f"""{response}\n\nkilde:[case_id:{results[0]['metadata']['case_id']}]"""
         else :
-            response_final = "No Document match"
+            response_final =" Det ønskede ord blev ikke fundet i nogen sager. Prøv met et andet søgeord"
         # Update chat history
         chat_history.append((query, response_final))
         return "", chat_history
     except Exception as e:
-        return "", chat_history + [(query, f"Error: {str(e)}")]
+        return "", chat_history + [(query, f"Det ønskede ord blev ikke fundet i nogen sager. Prøv met et andet søgeord")]
 
 # Create Gradio interface
-with gr.Blocks(title="Legal Chat Assistant") as demo:
-    gr.Markdown("# Legal Chat Assistant")
-    gr.Markdown("Ask questions about legal cases and get AI-powered responses.")
+with gr.Blocks(title="Jurai Insight") as demo:
+    gr.Markdown("# Jurai Insight")
+    gr.Markdown("Forudsig fremtiden, byg din sag på data.")
     
     chatbot = gr.Chatbot(
         [],
@@ -49,11 +48,11 @@ with gr.Blocks(title="Legal Chat Assistant") as demo:
     
     with gr.Row():
         query_input = gr.Textbox(
-            placeholder="Enter your query here...",
+            placeholder="Indtast dit spørgsmål her...",
             show_label=False,
             scale=4
         )
-        submit_btn = gr.Button("Send", scale=1)
+        submit_btn = gr.Button("Sende", scale=1)
     
  
     # Set up event handlers