Update app.py

app.py

@@ -157,7 +157,6 @@ def predict(system_msg, inputs, top_p, temperature, chat_counter, chatbot=None,
     # Kullanıcı mesajını hemen ekleyip chatbot’u güncelle
     chatbot.append({"role": "user", "content": inputs})
     chatbot.append({"role": "assistant", "content": ""})  # Boş assistant mesajı
-    yield chatbot, history, chat_counter  # İlk yield ile kullanıcı mesajı görünür
     
     response = requests.post(API_URL, headers=headers, json=payload, stream=True)
     
@@ -279,9 +278,14 @@ with gr.Blocks(css=demo_css, theme=theme) as demo:
             chatbot_ref[:] = chat
             return chat
         
-        # inputs.submit ve send_button.click içinde reset_textbox’u hemen çağırıyoruz
-        inputs.submit(predict, [system_msg, inputs, top_p, temperature, chat_counter, chatbot, state], [chatbot, state, chat_counter]).then(update_chatbot_ref, chatbot, chatbot).then(reset_textbox, [], [inputs])
-        send_button.click(predict, [system_msg, inputs, top_p, temperature, chat_counter, chatbot, state], [chatbot, state, chat_counter]).then(update_chatbot_ref, chatbot, chatbot).then(reset_textbox, [], [inputs])
+        # reset_textbox’u önce çalıştırıp ardından predict’i çağırıyoruz
+        inputs.submit(reset_textbox, [], [inputs]).then(
+            predict, [system_msg, inputs, top_p, temperature, chat_counter, chatbot, state], [chatbot, state, chat_counter]
+        ).then(update_chatbot_ref, chatbot, chatbot)
+        
+        send_button.click(reset_textbox, [], [inputs]).then(
+            predict, [system_msg, inputs, top_p, temperature, chat_counter, chatbot, state], [chatbot, state, chat_counter]
+        ).then(update_chatbot_ref, chatbot, chatbot)
     
     scheduler_thread = threading.Thread(target=run_scheduler, args=(chatbot_ref,), daemon=True)
     scheduler_thread.start()