qiuhuachuan
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Update README.md
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README.md
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## Code
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```
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import os
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import ujson
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from typing import Optional
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os.environ['CUDA_VISIBLE_DEVICES'] = '
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import uvicorn
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import torch
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from transformers import AutoTokenizer, AutoModel
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from fastapi import FastAPI
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from fastapi.middleware.cors import CORSMiddleware
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from pydantic import BaseModel
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from peft import PeftModel
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trust_remote_code=True)
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class ChatInfo(BaseModel):
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owner: str
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msg: str
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unique_id: str
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class RatingInfo(BaseModel):
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thumb_up: Optional[bool]
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thumb_down: Optional[bool]
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unique_id: str
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idx: int
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app = FastAPI()
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app.add_middleware(CORSMiddleware,
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allow_origins=['*'],
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allow_credentials=True,
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allow_methods=['*'],
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allow_headers=['*'])
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def format_example(example: dict) -> dict:
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context = f'''Input: {example['input']}\n'''
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temperature=0.9,
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top_p=0.9)
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raw_out_text = tokenizer.decode(out[0])
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true_out_text = tokenizer.decode(out[0][input_length:])
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answer = true_out_text.replace('\nEND', '').strip()
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return answer
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existing_files = os.listdir('./dialogues')
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target_file = f'{unique_id}.json'
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if target_file in existing_files:
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with open(f'./dialogues/{unique_id}.json', 'r', encoding='utf-8') as f:
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data: list = ujson.load(f)
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else:
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data = []
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data.append({
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'owner': ChatInfo.owner,
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'msg': ChatInfo.msg,
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'unique_id': ChatInfo.unique_id
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})
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input_str = ''
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for item in data:
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if item['owner'] == 'seeker':
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wrapped_data = {'input': input_str}
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response = generate_response(data=wrapped_data)
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'msg': response,
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'unique_id': unique_id
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}
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data.append(supporter_msg)
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with open(f'./dialogues/{unique_id}.json', 'w', encoding='utf-8') as f:
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ujson.dump(data, f, ensure_ascii=False, indent=2)
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return {'item': supporter_msg, 'responseCode': 200}
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if __name__ == '__main__':
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uvicorn.run(app, host='0.0.0.0', port=8000)
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```
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## Code
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```
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import os
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os.environ['CUDA_VISIBLE_DEVICES'] = '6'
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import torch
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from transformers import AutoTokenizer, AutoModel
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from peft import PeftModel
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trust_remote_code=True)
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def format_example(example: dict) -> dict:
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context = f'''Input: {example['input']}\n'''
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temperature=0.9,
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top_p=0.9)
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true_out_text = tokenizer.decode(out[0][input_length:])
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answer = true_out_text.replace('\nEND', '').strip()
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return answer
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data = []
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while True:
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seeker_msg = input('求助者:')
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data.append({'owner': 'seeker', 'msg': seeker_msg})
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input_str = ''
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for item in data:
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if item['owner'] == 'seeker':
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wrapped_data = {'input': input_str}
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response = generate_response(data=wrapped_data)
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print(f'支持者:{response}')
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supporter_msg = {'owner': 'supporter', 'msg': response}
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data.append(supporter_msg)
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```
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