Update app.py

app.py

@@ -3,7 +3,7 @@ import gradio as gr
 from text_generation import Client, InferenceAPIClient
 
 openchat_preprompt = (
-    "\n<human>: Hi!\n<bot>: \n"
+    "\n<human>: Zdravo!\n<bot>: \n"
 )
 
 def get_client(model: str):
@@ -197,20 +197,20 @@ with gr.Blocks(
 
         chatbot = gr.Chatbot(elem_id="chatbot")
         inputs = gr.Textbox(
-            placeholder="Hi there!", label="Type an input and press Enter"
+            placeholder="Hi there!", label="Unesi pitanje i pritisni Enter"
         )
         disclaimer = gr.Markdown(openchat_disclaimer, visible=False)
         state = gr.State([])
         b1 = gr.Button()
 
-        with gr.Accordion("Parameters", open=False):
+        with gr.Accordion("Parametri", open=False):
             typical_p = gr.Slider(
                 minimum=-0,
                 maximum=1.0,
                 value=0.2,
                 step=0.05,
                 interactive=True,
-                label="Typical P mass",
+                label="Tipična P masa",
             )
             top_p = gr.Slider(
                 minimum=-0,
@@ -218,7 +218,7 @@ with gr.Blocks(
                 value=0.25,
                 step=0.05,
                 interactive=True,
-                label="Top-p (nucleus sampling)",
+                label="Top-p (uzorkovanje jezgra)",
                 visible=False,
             )
             temperature = gr.Slider(
@@ -227,7 +227,7 @@ with gr.Blocks(
                 value=0.6,
                 step=0.1,
                 interactive=True,
-                label="Temperature",
+                label="Temperatura",
                 visible=False,
             )
             top_k = gr.Slider(
@@ -245,10 +245,10 @@ with gr.Blocks(
                 value=1.03,
                 step=0.01,
                 interactive=True,
-                label="Repetition Penalty",
+                label="Kazna za ponavljanje",
                 visible=False,
             )
-            watermark = gr.Checkbox(value=False, label="Text watermarking")
+            watermark = gr.Checkbox(value=False, label="Vodeni žig teksta")
 
     model.change(
         lambda value: radio_on_change(