mirror of https://github.com/arc53/DocsGPT
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51 lines
1.6 KiB
Python
51 lines
1.6 KiB
Python
from application.llm.base import BaseLLM
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from application.core.settings import settings
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import json
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import io
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import requests
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class DocsGPTAPILLM(BaseLLM):
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def __init__(self, *args, **kwargs):
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self.endpoint = "https://llm.docsgpt.co.uk"
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def gen(self, model, engine, messages, stream=False, **kwargs):
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context = messages[0]['content']
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user_question = messages[-1]['content']
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prompt = f"### Instruction \n {user_question} \n ### Context \n {context} \n ### Answer \n"
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response = requests.post(
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f"{self.endpoint}/answer",
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json={
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"prompt": prompt,
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"max_new_tokens": 30
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}
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)
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response_clean = response.json()['a'].split("###")[0]
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return response_clean
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def gen_stream(self, model, engine, messages, stream=True, **kwargs):
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context = messages[0]['content']
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user_question = messages[-1]['content']
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prompt = f"### Instruction \n {user_question} \n ### Context \n {context} \n ### Answer \n"
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# send prompt to endpoint /stream
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response = requests.post(
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f"{self.endpoint}/stream",
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json={
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"prompt": prompt,
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"max_new_tokens": 256
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},
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stream=True
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)
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for line in response.iter_lines():
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if line:
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#data = json.loads(line)
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data_str = line.decode('utf-8')
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if data_str.startswith("data: "):
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data = json.loads(data_str[6:])
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yield data['a']
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