Update app.py

app.py

@@ -9,14 +9,8 @@ client = OpenAI(api_key=api_secret)
 
 sysint ='Sampean asisten ingkang mangsuli ngangge basa Jawa Krama, sanes Ngoko.'
 
-def ask(request, temp, topp, mulgen):
+def ask(request, temp, topp,):
     request = str(request)
-    
-    if mulgen:
-        iterations = 3
-    else:
-        iterations = 1
-    
     results = []
     for i in range(iterations):
         chat_completion = client.chat.completions.create(
@@ -26,7 +20,7 @@ def ask(request, temp, topp, mulgen):
             temperature=temp,
             top_p=topp,
             max_tokens=700,
-            model=bigmodel
+            model=model
         )
         rescount = f'Result {i+1}:\n'
         respond = chat_completion.choices[0].message.content
@@ -39,7 +33,7 @@ with gr.Blocks(theme='snehilsanyal/scikit-learn') as app:
     gr.Interface(
     fn=ask,
     inputs=[
-        gr.Textbox(label="Pitakenan Jawa Krama"),
+        gr.Textbox(valu='Panjenengan saged nerangaken menapa LLM saged gadhah peranan wigatos babagan pelestarian basa?', label="Pitakenan Jawa Krama"),
     gr.Slider(label="Temperature",minimum=0,maximum=1,value=.9,step=.05),
     gr.Slider(label="Top p",minimum=0,maximum=1,value=.1,step=.05),
     gr.Checkbox(label="Generate 3 at once")
@@ -47,6 +41,5 @@ with gr.Blocks(theme='snehilsanyal/scikit-learn') as app:
     outputs=gr.Textbox(label="Mangsulan"),
     title="Jawa Krama Chatbot Demo",
     allow_flagging="never",
-    description='This is a fine-tuned version of GPT-3.5 Turbo, trained to speak Krama Javanese.\nMangga pitaken. AI puniki optimal kangge sinau/edukasi.\nTuladha: "Terangaken/Jlentrehaken biologi kodok"\n\nPanduan penggunaan:\n- Model ini dilatih untuk menjelaskan suatu konsep untuk penggunaan edukasi\n- Model ini tidak optimal untuk dialog maupun request menulis suatu hal tertentu, misal minta menulis rencana atau outline\n- Model ini belum optimal untuk menjawab pertanyaan dengan penulisan tidak tertata, misal prompt sepanjang 1-2 kata saja')
-
+    description='This is a fine-tuned version of GPT-3.5 Turbo, trained to speak Krama Javanese. The model is optimized to respond to educational questions.
 app.launch(debug=True, share=True)