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Duplicate from elitecode/ChatGLM-6B-ChatBot
Browse filesCo-authored-by: Peter Kyale <elitecode@users.noreply.huggingface.co>
- .gitattributes +34 -0
- README.md +14 -0
- app.py +30 -0
- requirements.txt +7 -0
.gitattributes
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README.md
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---
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title: ChatGLM 6B ChatBot
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emoji: π¨
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colorFrom: pink
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colorTo: indigo
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sdk: gradio
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sdk_version: 3.20.1
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app_file: app.py
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pinned: false
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license: mit
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duplicated_from: elitecode/ChatGLM-6B-ChatBot
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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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import psutil
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import gradio as gr
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from functools import partial
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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mem = psutil.virtual_memory()
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tokenizer = AutoTokenizer.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True)
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model = AutoModelForSeq2SeqLM.from_pretrained("THUDM/chatglm-6b-int4", trust_remote_code=True).quantize(bits=4, compile_parallel_kernel=True, parallel_num=2).cpu().float()
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def chat(query, history=[]):
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_, history = model.chat(tokenizer, query, history, max_length=512)
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return history, history
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description = "This is an unofficial chatbot application based on open source model ChatGLM-6B(https://github.com/THUDM/ChatGLM-6B), running on cpu(therefore max_length is limited to 512). \nIf you want to use this chat bot in your space, 'Duplicate this space' by click the button close to 'Linked Models'. \n"
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title = "ChatGLM-6B Chatbot"
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examples = [["Hello?"], ["δ½ ε₯½γ"], ["δ»η»ζΈ
ε"]]
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chatbot_interface = gr.Interface(
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fn=chat,
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title=title,
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description=description,
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examples=examples,
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inputs=["text", "state"],
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outputs=["chatbot", "state"]
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)
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chatbot_interface.launch()
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requirements.txt
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gradio
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torch
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protobuf>=3.19.5,<3.20.1
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transformers>=4.26.1
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icetk
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cpm_kernels
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psutil
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