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| from lmdeploy.serve.gradio.turbomind_coupled import * | |
| from lmdeploy.messages import TurbomindEngineConfig | |
| backend_config = TurbomindEngineConfig(max_batch_size=1, cache_max_entry_count=0.05)#, model_format='awq') | |
| model_path = 'internlm/internlm2-math-7b' | |
| InterFace.async_engine = AsyncEngine( | |
| model_path=model_path, | |
| backend='turbomind', | |
| backend_config=backend_config, | |
| tp=1) | |
| async def reset_local_func(instruction_txtbox: gr.Textbox, | |
| state_chatbot: Sequence, session_id: int): | |
| """reset the session. | |
| Args: | |
| instruction_txtbox (str): user's prompt | |
| state_chatbot (Sequence): the chatting history | |
| session_id (int): the session id | |
| """ | |
| state_chatbot = [] | |
| # end the session | |
| with InterFace.lock: | |
| InterFace.global_session_id += 1 | |
| session_id = InterFace.global_session_id | |
| return (state_chatbot, state_chatbot, gr.Textbox.update(value=''), session_id) | |
| async def cancel_local_func(state_chatbot: Sequence, cancel_btn: gr.Button, | |
| reset_btn: gr.Button, session_id: int): | |
| """stop the session. | |
| Args: | |
| instruction_txtbox (str): user's prompt | |
| state_chatbot (Sequence): the chatting history | |
| cancel_btn (gr.Button): the cancel button | |
| reset_btn (gr.Button): the reset button | |
| session_id (int): the session id | |
| """ | |
| yield (state_chatbot, disable_btn, disable_btn, session_id) | |
| InterFace.async_engine.stop_session(session_id) | |
| # pytorch backend does not support resume chat history now | |
| if InterFace.async_engine.backend == 'pytorch': | |
| yield (state_chatbot, disable_btn, enable_btn, session_id) | |
| else: | |
| with InterFace.lock: | |
| InterFace.global_session_id += 1 | |
| session_id = InterFace.global_session_id | |
| messages = [] | |
| for qa in state_chatbot: | |
| messages.append(dict(role='user', content=qa[0])) | |
| if qa[1] is not None: | |
| messages.append(dict(role='assistant', content=qa[1])) | |
| gen_config = GenerationConfig(max_new_tokens=0) | |
| async for out in InterFace.async_engine.generate(messages, | |
| session_id, | |
| gen_config=gen_config, | |
| stream_response=True, | |
| sequence_start=True, | |
| sequence_end=False): | |
| pass | |
| yield (state_chatbot, disable_btn, enable_btn, session_id) | |
| with gr.Blocks(css=CSS, theme=THEME) as demo: | |
| state_chatbot = gr.State([]) | |
| state_session_id = gr.State(0) | |
| with gr.Column(elem_id='container'): | |
| gr.Markdown('## LMDeploy Playground') | |
| chatbot = gr.Chatbot( | |
| elem_id='chatbot', | |
| label=InterFace.async_engine.engine.model_name) | |
| instruction_txtbox = gr.Textbox( | |
| placeholder='Please input the instruction', | |
| label='Instruction') | |
| with gr.Row(): | |
| cancel_btn = gr.Button(value='Cancel', interactive=False) | |
| reset_btn = gr.Button(value='Reset') | |
| with gr.Row(): | |
| request_output_len = gr.Slider(1, | |
| 2048, | |
| value=1024, | |
| step=1, | |
| label='Maximum new tokens') | |
| top_p = gr.Slider(0.01, 1, value=1.0, step=0.01, label='Top_p') | |
| temperature = gr.Slider(0.01, | |
| 1.5, | |
| value=0.01, | |
| step=0.01, | |
| label='Temperature') | |
| send_event = instruction_txtbox.submit(chat_stream_local, [ | |
| instruction_txtbox, state_chatbot, cancel_btn, reset_btn, | |
| state_session_id, top_p, temperature, request_output_len | |
| ], [state_chatbot, chatbot, cancel_btn, reset_btn]) | |
| instruction_txtbox.submit( | |
| lambda: gr.Textbox.update(value=''), | |
| [], | |
| [instruction_txtbox], | |
| ) | |
| cancel_btn.click( | |
| cancel_local_func, | |
| [state_chatbot, cancel_btn, reset_btn, state_session_id], | |
| [state_chatbot, cancel_btn, reset_btn, state_session_id], | |
| cancels=[send_event]) | |
| reset_btn.click(reset_local_func, | |
| [instruction_txtbox, state_chatbot, state_session_id], | |
| [state_chatbot, chatbot, instruction_txtbox, state_session_id], | |
| cancels=[send_event]) | |
| def init(): | |
| with InterFace.lock: | |
| InterFace.global_session_id += 1 | |
| new_session_id = InterFace.global_session_id | |
| return new_session_id | |
| demo.load(init, inputs=None, outputs=[state_session_id]) | |
| demo.queue(concurrency_count=InterFace.async_engine.instance_num, | |
| max_size=100).launch() | |