add app
Browse files- README.md +3 -3
- app.py +130 -0
- requirements.txt +22 -0
README.md
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---
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title: KumaGLM
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emoji:
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sdk: gradio
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sdk_version: 3.24.1
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app_file: app.py
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---
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title: KumaGLM
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emoji: 🐻
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colorFrom: blue
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colorTo: green
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sdk: gradio
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sdk_version: 3.24.1
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app_file: app.py
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app.py
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# Credit:
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# https://huggingface.co/spaces/ljsabc/Fujisaki/blob/main/app.py
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import torch
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import gradio as gr
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from peft import PeftModel
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from transformers import AutoTokenizer, GenerationConfig, AutoModel
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model = AutoModel.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True, revision="4de8efe").float()
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tokenizer = AutoTokenizer.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True, revision="4de8efe")
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peft_path = 'KumaTea/twitter'
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model = PeftModel.from_pretrained(
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model,
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peft_path,
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torch_dtype=torch.float,
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)
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# dump a log to ensure everything works well
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# print(model.peft_config)
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# We have to use full precision, as some tokens are >65535
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model.eval()
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# print(model)
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torch.set_default_tensor_type(torch.FloatTensor)
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def evaluate(context, temperature, top_p, top_k):
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generation_config = GenerationConfig(
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temperature=temperature,
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top_p=top_p,
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top_k=top_k,
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#repetition_penalty=1.1,
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num_beams=1,
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do_sample=True,
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)
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with torch.no_grad():
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input_text = f"Context: {context}Answer: "
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ids = tokenizer.encode(input_text)
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input_ids = torch.LongTensor([ids]).to('cpu')
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out = model.generate(
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input_ids=input_ids,
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max_length=160,
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generation_config=generation_config
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)
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out_text = tokenizer.decode(out[0]).split("Answer: ")[1]
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return out_text
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def evaluate_stream(msg, history, temperature, top_p):
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generation_config = GenerationConfig(
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temperature=temperature,
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top_p=top_p,
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#repetition_penalty=1.1,
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num_beams=1,
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do_sample=True,
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)
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history.append([msg, None])
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context = ""
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if len(history) > 4:
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history.pop(0)
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for j in range(len(history)):
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history[j][0] = history[j][0].replace("<br>", "")
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# concatenate context
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for h in history[:-1]:
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context += h[0] + "||" + h[1] + "||"
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context += history[-1][0]
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context = context.replace(r'<br>', '')
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# TODO: Avoid the tokens are too long.
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CUTOFF = 224
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while len(tokenizer.encode(context)) > CUTOFF:
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# save 15 token size for the answer
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context = context[15:]
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h = []
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print("History:", history)
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print("Context:", context)
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for response, h in model.stream_chat(tokenizer, context, h, max_length=CUTOFF, top_p=top_p, temperature=temperature):
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history[-1][1] = response
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yield history, ""
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#return response
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title = """<h1 align="center">KumaGLM</h1>
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<h3 align='center'>这是一个 AI Kuma,你可以与她聊天,或者直接在文本框按下Enter</h3>
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<p align='center'>采样范围 2020/06/13 - 2023/04/15</p>"""
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footer = """<p align='center'>
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本项目基于
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<a href='https://github.com/ljsabc/Fujisaki' target='_blank'>ljsabc/Fujisaki</a>
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,模型采用
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<a href='https://huggingface.co/THUDM/chatglm-6b' target='_blank'>THUDM/chatglm-6b</a>
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。
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</p>
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<p align='center'>
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<em>每天起床第一句!</em>
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</p>"""
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with gr.Blocks() as demo:
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gr.HTML(title)
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state = gr.State()
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with gr.Row():
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with gr.Column(scale=2):
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temp = gr.components.Slider(minimum=0, maximum=1.1, value=0.8, label="Temperature",
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info="温度参数,越高的温度生成的内容越丰富,但是有可能出现语法问题。小的温度也能帮助生成更相关的回答。")
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top_p = gr.components.Slider(minimum=0.5, maximum=1.0, value=0.975, label="Top-p",
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info="top-p参数,只输出前p>top-p的文字,越大生成的内容越丰富,但也可能出现语法问题。数字越小似乎上下文的衔接性越好。")
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#code = gr.Textbox(label="temp_output", info="解码器输出")
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#top_k = gr.components.Slider(minimum=1, maximum=200, step=1, value=25, label="Top k",
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# info="top-k参数,下一个输出的文字会从top-k个文字中进行选择,越大生成的内容越丰富,但也可能出现语法问题。数字越小似乎上下文的衔接性越好。")
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with gr.Column(scale=3):
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chatbot = gr.Chatbot(label="聊天框", info="")
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msg = gr.Textbox(label="输入框", placeholder="最近过得怎么样?",
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info="输入你的内容,按[Enter]发送。也可以什么都不填写生成随机数据。对话一般不能太长,否则就复读机了,建议清除数据。")
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clear = gr.Button("清除聊天")
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msg.submit(evaluate_stream, [msg, chatbot, temp, top_p], [chatbot, msg])
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clear.click(lambda: None, None, chatbot, queue=False)
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gr.HTML(footer)
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demo.queue()
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demo.launch(debug=False)
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requirements.txt
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# https://huggingface.co/spaces/ljsabc/Fujisaki/blob/main/requirements.txt
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# int8
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bitsandbytes>=0.37.1
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accelerate>=0.17.1
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# chatglm
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protobuf>=3.19.5,<3.20.1
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transformers>=4.27.1
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icetk
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cpm_kernels>=1.0.11
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#
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datasets>=2.10.1
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git+https://github.com/huggingface/peft.git # 最新版本 >=0.3.0.dev0
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-f https://download.pytorch.org/whl/cpu
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torch
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-f https://download.pytorch.org/whl/cpu
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torchvision
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-f https://download.pytorch.org/whl/cpu
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torchaudio
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