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Duplicate from multimodalart/ChatGLM-6B

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Co-authored-by: Apolinário from multimodal AI art <multimodalart@users.noreply.huggingface.co>

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  1. .gitattributes +34 -0
  2. README.md +14 -0
  3. app.py +28 -0
  4. requirements.txt +4 -0
.gitattributes ADDED
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README.md ADDED
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+ ---
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+ title: ChatGLM 6B
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+ emoji: 🏃
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+ colorFrom: indigo
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+ colorTo: pink
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+ sdk: gradio
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+ sdk_version: 3.21.0
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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: multimodalart/ChatGLM-6B
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+ ---
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+
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+ Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
app.py ADDED
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+ from transformers import AutoModel, AutoTokenizer
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+ import gradio as gr
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+
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+ tokenizer = AutoTokenizer.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True)
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+ model = AutoModel.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True).half().cuda()
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+ model = model.eval()
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+
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+ def predict(input, history=None):
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+ if history is None:
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+ history = []
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+ response, history = model.chat(tokenizer, input, history)
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+ return history, history
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+
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+
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+ with gr.Blocks() as demo:
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+ gr.Markdown('''## ChatGLM-6B - unofficial demo
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+ Unnoficial demo of the [ChatGLM-6B](https://github.com/THUDM/ChatGLM-6B/blob/main/README_en.md) model, trained on 1T tokens of English and Chinese
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+ ''')
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+ state = gr.State([])
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+ chatbot = gr.Chatbot([], elem_id="chatbot").style(height=400)
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+ with gr.Row():
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+ with gr.Column(scale=4):
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+ txt = gr.Textbox(show_label=False, placeholder="Enter text and press enter").style(container=False)
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+ with gr.Column(scale=1):
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+ button = gr.Button("Generate")
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+ txt.submit(predict, [txt, state], [chatbot, state])
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+ button.click(predict, [txt, state], [chatbot, state])
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+ demo.queue().launch()
requirements.txt ADDED
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+ torch
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+ transformers>=4.26.1
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+ cpm_kernels
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+ icetk