Update app.py

app.py

@@ -2,6 +2,7 @@ import transformers
 import gradio as gr
 import git
 import os
+from gradio import rtl
 os.system("pip install --upgrade pip")
 
 #Load arabert preprocessor
@@ -38,18 +39,20 @@ def generate_response(text, minimum_length, p, temperature):
 # description = 'This demo is for a BERT2BERT model trained for single-turn open-domain empathetic dialogue response generation in Modern Standard Arabic'
 
 with gr.Blocks() as demo:
-
+    
     gr.Markdown("Empathetic Response Generation in Arabic")
-    chatbot = gr.Chatbot(show_label=False).style(height=650)
+    chatbot = gr.Chatbot().style(height=400)
     msg = gr.Textbox(placeholder="Send a message",show_label=False).style(container=False)
-    output_slider=gr.Slider(5, 20, step=1, label='Minimum Output Length')
-    top_p_slider=gr.Slider(0.7, 1, step=0.1,  label='Top-P')
-    temperature_slider=gr.Slider(1, 3, step=0.1, label='Temperature')
-    def respond(message,chat_history,output_slider,top_p_slider,temperature_slider):
-        bot_message = generate_response(message,output_slider,top_p_slider,temperature_slider)
-        chat_history.append((message, bot_message))
-        return "", chat_history
-    clear = gr.Button("Clear")
+    with gr.Column():
+        output_slider=gr.Slider(5, 20, step=1, label='Minimum Output Length')
+        top_p_slider=gr.Slider(0.7, 1, step=0.1,  label='Top-P')
+        temperature_slider=gr.Slider(1, 3, step=0.1, label='Temperature')
+        def respond(message,chat_history,output_slider,top_p_slider,temperature_slider):
+            bot_message = generate_response(message,output_slider,top_p_slider,temperature_slider)
+            chat_history.append((message, bot_message))
+            return "", chat_history
+        clear = gr.Button("Clear Chat")
     msg.submit(respond, [msg, chatbot,output_slider,top_p_slider,temperature_slider], [msg, chatbot])
     clear.click(lambda: None, None, chatbot, queue=False)
+demo.rtl=True
 demo.launch()