| import gradio as gr | |
| import openai | |
| from openai import OpenAI | |
| import os | |
| api_secret = os.getenv('openaikey') | |
| model = os.getenv('model') | |
| client = OpenAI(api_key=api_secret) | |
| sysint ='Sampean asisten ingkang mangsuli ngangge basa Jawa Krama, sanes Ngoko.' | |
| def ask(request, temp, topp,): | |
| chat_completion = client.chat.completions.create( | |
| messages=[ | |
| {"role": 'system', "content": sysint}, | |
| {"role": 'user', "content": request}], | |
| temperature=temp, | |
| top_p=topp, | |
| max_tokens=700, | |
| model=model | |
| ) | |
| response = chat_completion.choices[0].message.content | |
| return response | |
| with gr.Blocks(theme='snehilsanyal/scikit-learn') as app: | |
| gr.Interface( | |
| fn=ask, | |
| inputs=[ | |
| gr.Textbox(value='Panjenengan saged nerangaken menapa kacerdhasan gaweyan saged gadhah peranan wigatos babagan pelestarian basa?', label="Pitakenan Jawa Krama"), | |
| gr.Slider(label="Temperature",minimum=0,maximum=1,value=.5,step=.05), | |
| gr.Slider(label="Top p",minimum=0,maximum=1,value=.5,step=.05) | |
| ], | |
| 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. The model is optimized to respond to educational questions.') | |
| app.launch(debug=True, share=True) |