Duplicate from DrSong/ChatGLM-6B-ChatBot

Co-authored-by: Song XiXuan <DrSong@users.noreply.huggingface.co>

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README.md

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+---
+title: ChatGLM 6B ChatBot
+emoji: 🐨
+colorFrom: pink
+colorTo: indigo
+sdk: gradio
+sdk_version: 3.20.1
+app_file: app.py
+pinned: false
+license: mit
+duplicated_from: DrSong/ChatGLM-6B-ChatBot
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import psutil
+import gradio as gr
+
+from functools import partial
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+
+mem = psutil.virtual_memory()
+
+tokenizer = AutoTokenizer.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True)
+
+model = AutoModelForSeq2SeqLM.from_pretrained("THUDM/chatglm-6b-int4", trust_remote_code=True).quantize(bits=4, compile_parallel_kernel=True, parallel_num=2).cpu().float()
+
+def chat(query, history=[]):
+    _, history = model.chat(tokenizer, query, history, max_length=512)
+    return history, history
+
+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"
+title = "ChatGLM-6B Chatbot"
+examples = [["Hello?"], ["你好。"], ["介绍清华"]]
+
+chatbot_interface = gr.Interface(
+    fn=chat,
+    title=title,
+    description=description,
+    examples=examples,
+    inputs=["text", "state"],
+    outputs=["chatbot", "state"]
+)
+
+chatbot_interface.launch()

requirements.txt

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+gradio
+torch
+protobuf>=3.19.5,<3.20.1
+transformers>=4.26.1
+icetk
+cpm_kernels
+psutil