Upload 4 files
Browse files- README.md +6 -6
- app.py +74 -0
- gitattributes.txt +35 -0
- requirements.txt +4 -0
README.md
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---
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title:
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emoji:
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colorFrom:
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sdk: streamlit
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sdk_version: 1.
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app_file: app.py
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pinned: false
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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---
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title: Chatglm2 6b Int4
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emoji: 🚀
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colorFrom: green
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colorTo: red
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sdk: streamlit
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sdk_version: 1.21.0
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app_file: app.py
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pinned: false
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duplicated_from: Cran-May/yugang-chatglm2-6b-int4
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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app.py
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# https://github.com/THUDM/ChatGLM2-6B/blob/main/web_demo2.py
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from transformers import AutoModel, AutoTokenizer
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import streamlit as st
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from streamlit_chat import message
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st.set_page_config(
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page_title="ChatGLM2-6b 演示",
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page_icon=":robot:",
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layout='wide'
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)
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@st.cache_resource
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def get_model():
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tokenizer = AutoTokenizer.from_pretrained("THUDM/chatglm2-6b-int4", trust_remote_code=True)
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model = AutoModel.from_pretrained("THUDM/chatglm2-6b-int4", trust_remote_code=True).float()
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model = model.eval()
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return tokenizer, model
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MAX_TURNS = 20
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MAX_BOXES = MAX_TURNS * 2
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def predict(input, max_length, top_p, temperature, history=None):
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tokenizer, model = get_model()
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if history is None:
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history = []
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with container:
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if len(history) > 0:
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if len(history)>MAX_BOXES:
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history = history[-MAX_TURNS:]
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for i, (query, response) in enumerate(history):
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message(query, avatar_style="big-smile", key=str(i) + "_user")
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message(response, avatar_style="bottts", key=str(i))
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message(input, avatar_style="big-smile", key=str(len(history)) + "_user")
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st.write("AI正在回复:")
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with st.empty():
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for response, history in model.stream_chat(tokenizer, input, history, max_length=max_length, top_p=top_p,
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temperature=temperature):
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query, response = history[-1]
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st.write(response)
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return history
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container = st.container()
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# create a prompt text for the text generation
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prompt_text = st.text_area(label="用户命令输入",
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height = 100,
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placeholder="请在这儿输入您的命令")
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max_length = st.sidebar.slider(
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'max_length', 0, 32768, 8192, step=1
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)
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top_p = st.sidebar.slider(
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'top_p', 0.0, 1.0, 0.8, step=0.01
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)
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temperature = st.sidebar.slider(
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'temperature', 0.0, 1.0, 0.95, step=0.01
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)
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if 'state' not in st.session_state:
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st.session_state['state'] = []
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if st.button("发送", key="predict"):
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with st.spinner("AI正在思考,请稍等........"):
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# text generation
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st.session_state["state"] = predict(prompt_text, max_length, top_p, temperature, st.session_state["state"])
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gitattributes.txt
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*.7z filter=lfs diff=lfs merge=lfs -text
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*.arrow filter=lfs diff=lfs merge=lfs -text
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*.bin filter=lfs diff=lfs merge=lfs -text
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*.bz2 filter=lfs diff=lfs merge=lfs -text
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*.ckpt filter=lfs diff=lfs merge=lfs -text
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*.ftz filter=lfs diff=lfs merge=lfs -text
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*.gz filter=lfs diff=lfs merge=lfs -text
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*.h5 filter=lfs diff=lfs merge=lfs -text
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*.joblib filter=lfs diff=lfs merge=lfs -text
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*.lfs.* filter=lfs diff=lfs merge=lfs -text
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*.mlmodel filter=lfs diff=lfs merge=lfs -text
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*.model filter=lfs diff=lfs merge=lfs -text
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*.msgpack filter=lfs diff=lfs merge=lfs -text
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*.npy filter=lfs diff=lfs merge=lfs -text
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*.npz filter=lfs diff=lfs merge=lfs -text
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*.onnx filter=lfs diff=lfs merge=lfs -text
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*.ot filter=lfs diff=lfs merge=lfs -text
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*.parquet filter=lfs diff=lfs merge=lfs -text
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*.pb filter=lfs diff=lfs merge=lfs -text
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*.pickle filter=lfs diff=lfs merge=lfs -text
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*.pkl filter=lfs diff=lfs merge=lfs -text
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*.pt filter=lfs diff=lfs merge=lfs -text
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*.pth filter=lfs diff=lfs merge=lfs -text
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*.rar filter=lfs diff=lfs merge=lfs -text
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*.safetensors filter=lfs diff=lfs merge=lfs -text
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saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.tar.* filter=lfs diff=lfs merge=lfs -text
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*.tar filter=lfs diff=lfs merge=lfs -text
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*.tflite filter=lfs diff=lfs merge=lfs -text
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*.tgz filter=lfs diff=lfs merge=lfs -text
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*.wasm filter=lfs diff=lfs merge=lfs -text
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*.xz filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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requirements.txt
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torch>=2.0
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transformers==4.30.2
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sentencepiece
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streamlit_chat
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