| import gradio as gr | |
| from helpers.utils import ( | |
| import_llm | |
| ) | |
| import config | |
| global llm | |
| llm = None | |
| chat_template = { | |
| "user": "<start_of_turn>user\n{}<end_of_turn>\n", | |
| "assistant": "<start_of_turn>model\n{}<end_of_turn>\n", | |
| "generation_prompt": "<start_of_turn>model\n" | |
| } | |
| api_version_file = open("versions.txt", "r") | |
| api_version = api_version_file.read().strip() | |
| model_version_file = open("{}/versions.txt".format(config.MODEL_DIR), "r") | |
| model_version = model_version_file.read().strip() | |
| with gr.Blocks(title="Netray NLP") as nlp: | |
| gr.HTML("<h2 style= 'font-size: 3rem'>Netray NLP</h2> \ | |
| <div style = 'display: flex; flex-direction: row; align-items: center; gap: 0 5px;'>\ | |
| <div><span style ='font-size: 16px; background-color: gray; padding: 3px 5px; border-radius: 5px;'>API Version: {}</span></div>\ | |
| <div><span style ='font-size: 16px; background-color: gray; padding: 3px 5px; margin: 2px 0; border-radius: 5px;'>Model Version: {}</span></div>\ | |
| </div>".format(api_version, model_version)) | |
| bot = gr.Chatbot(label="Netray NLP") | |
| msg = gr.Textbox( | |
| placeholder="Tanya sesuatu! (Tekan \"enter\" untuk mengirim)", label="", elem_id="inputTextBox") | |
| clear = gr.Button('Clear', variant='stop') | |
| if llm == None: | |
| llm = import_llm(config.LLM_CONFIG) | |
| def user(user_message, history): | |
| return "", history + [[user_message, None]] | |
| def predict(history): | |
| prompt = "" | |
| if len(history) == 1: | |
| chat = history[0] | |
| user_input = config.PROMPT.format(chat[0]) | |
| prompt += chat_template['user'].format(user_input) | |
| prompt += chat_template['generation_prompt'] | |
| else: | |
| chat_history = "" | |
| for chat in history[:-1]: | |
| if chat[0] is not None: | |
| chat_history += f"Pertanyaan: {chat[0]}\n" | |
| if chat[1] is not None: | |
| chat_history += f"Jawaban: {chat[1]}\n" | |
| user_input = config.PROMPT_HISTORY.format( | |
| chat_history, history[-1][0] if history[-1][0] is not None else "" | |
| ) | |
| prompt += chat_template['user'].format(user_input) | |
| prompt += chat_template['generation_prompt'] | |
| history[-1][1] = "" | |
| for token in llm.stream(prompt): | |
| history[-1][1] += token | |
| yield history | |
| msg.submit(user, [msg, bot], [msg, bot], queue=False).then( | |
| predict, bot, bot | |
| ) | |
| clear.click(lambda: None, None, bot, queue=False) |