Duplicate from dahaoGPT/ChatGLM2-6B-chatbot

Co-authored-by: haohaozhuGPT <dahaoGPT@users.noreply.huggingface.co>

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README.md

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+---
+title: ChatGLM2 6B Chatbot
+emoji: 📊
+colorFrom: red
+colorTo: blue
+sdk: gradio
+sdk_version: 3.35.2
+app_file: app.py
+pinned: false
+license: apache-2.0
+duplicated_from: dahaoGPT/ChatGLM2-6B-chatbot
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+from transformers import AutoModel, AutoTokenizer
+import gradio as gr
+tokenizer = AutoTokenizer.from_pretrained("THUDM/chatglm2-6b", trust_remote_code=True)
+model = AutoModel.from_pretrained("THUDM/chatglm2-6b", trust_remote_code=True).half().cuda()
+model = model.eval()
+
+def beginchat(input, history=None):
+    if history is None:
+        history = []
+    response, history = model.chat(tokenizer, input, history)
+    return history, history
+
+
+with gr.Blocks() as chatglm2bot:
+    gr.Markdown('''### ChatGLM2-6B---chatbot demo
+    
+    Glm-130b: An open bilingual pre-trained model
+    Author: Zeng, Aohan and Liu, Xiao and Du, Zhengxiao and Wang, Zihan and Lai, Hanyu and Ding, Ming and Yang, Zhuoyi and Xu, Yifan and Zheng, Wendi and Xia, Xiao and others
+    Paper: arXiv preprint arXiv:2210.02414''')
+    state = gr.State([])
+    chatbot = gr.Chatbot([], elem_id="chatbot")
+    with gr.Row():
+        with gr.Column(scale=4):
+            txt = gr.Textbox(show_label=False, placeholder="Enter text and press enter").style(container=False)
+        with gr.Column(scale=1):
+            button = gr.Button("Generate")
+    txt.submit(beginchat, [txt, state], [chatbot, state])
+    button.click(beginchat, [txt, state], [chatbot, state])
+chatglm2bot.queue().launch()

requirements.txt

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+torch
+transformers>=4.26.1
+cpm_kernels
+icetk