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- import streamlit as st
- import torch
- from transformers import AutoModel, AutoTokenizer
-
- # 设置页面标题、图标和布局
- st.set_page_config(
- page_title="ChatGLM3-6B 演示",
- page_icon=":robot:",
- layout="wide"
- )
-
- # 设置为模型ID或本地文件夹路径
- model_path = "THUDM/chatglm3-6b"
-
- @st.cache_resource
- def get_model():
- tokenizer = AutoTokenizer.from_pretrained(model_path, trust_remote_code=True)
- model = AutoModel.from_pretrained(model_path, trust_remote_code=True).cuda()
- # 多显卡支持,使用下面两行代替上面一行,将num_gpus改为你实际的显卡数量
- # from utils import load_model_on_gpus
- # model = load_model_on_gpus("THUDM/chatglm3-6b", num_gpus=2)
- model = model.eval()
- return tokenizer, model
-
- # 加载Chatglm3的model和tokenizer
- tokenizer, model = get_model()
-
- # 初始化历史记录和past key values
- if "history" not in st.session_state:
- st.session_state.history = []
- if "past_key_values" not in st.session_state:
- st.session_state.past_key_values = None
-
- # 设置max_length、top_p和temperature
- max_length = st.sidebar.slider("max_length", 0, 32768, 8192, step=1)
- top_p = st.sidebar.slider("top_p", 0.0, 1.0, 0.8, step=0.01)
- temperature = st.sidebar.slider("temperature", 0.0, 1.0, 0.6, step=0.01)
-
- # 清理会话历史
- buttonClean = st.sidebar.button("清理会话历史", key="clean")
- if buttonClean:
- st.session_state.history = []
- st.session_state.past_key_values = None
- if torch.cuda.is_available():
- torch.cuda.empty_cache()
- st.rerun()
-
- # 渲染聊天历史记录
- for i, message in enumerate(st.session_state.history):
- if message["role"] == "user":
- with st.chat_message(name="user", avatar="user"):
- st.markdown(message["content"])
- else:
- with st.chat_message(name="assistant", avatar="assistant"):
- st.markdown(message["content"])
-
- # 输入框和输出框
- with st.chat_message(name="user", avatar="user"):
- input_placeholder = st.empty()
- with st.chat_message(name="assistant", avatar="assistant"):
- message_placeholder = st.empty()
-
- # 获取用户输入
- prompt_text = st.chat_input("请输入您的问题")
-
- # 如果用户输入了内容,则生成回复
- if prompt_text:
-
- input_placeholder.markdown(prompt_text)
- history = st.session_state.history
- past_key_values = st.session_state.past_key_values
- for response, history, past_key_values in model.stream_chat(
- tokenizer,
- prompt_text,
- history,
- past_key_values=past_key_values,
- max_length=max_length,
- top_p=top_p,
- temperature=temperature,
- return_past_key_values=True,
- ):
- message_placeholder.markdown(response)
-
- # 更新历史记录和past key values
- st.session_state.history = history
- st.session_state.past_key_values = past_key_values
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