mirror of https://github.com/THUDM/ChatGLM-6B
Zhengxiao Du
2 years ago
committed by
GitHub
1 changed files with 33 additions and 0 deletions
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from typing import Optional |
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from fastapi import FastAPI, Request |
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from pydantic import BaseModel |
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from transformers import AutoTokenizer, AutoModel |
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import uvicorn, json, time, datetime, os, platform |
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app = FastAPI() |
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@app.post("/") |
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async def create_item(request: Request): |
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global history, model, tokenizer |
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jsonPostRaw = await request.json() |
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jsonPost = json.dumps(jsonPostRaw) |
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jsonPostList = json.loads(jsonPost) |
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prompt = jsonPostList.get('prompt') |
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response, history = model.chat(tokenizer, prompt, history=history) |
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now = datetime.datetime.now() |
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time = now.strftime("%Y-%m-%d %H:%M:%S") |
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answer = { |
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"response":response, |
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"status":200, |
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"time":time |
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} |
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log = "["+time+"] "+'device:"'+jsonPostList.get('device')+'", prompt:"'+prompt+'", response:"'+repr(response)+'"' |
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print(log) |
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return answer |
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if __name__ == '__main__': |
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uvicorn.run('API:app',host='0.0.0.0',port=8000,workers=1) |
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history = [] |
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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().quantize(4).cuda() |
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model = model.eval() |
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