mirror of https://github.com/arc53/DocsGPT
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45 lines
1.6 KiB
Python
45 lines
1.6 KiB
Python
from application.llm.base import BaseLLM
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import json
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import requests
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class DocsGPTAPILLM(BaseLLM):
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def __init__(self, api_key=None, user_api_key=None, *args, **kwargs):
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super().__init__(*args, **kwargs)
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self.api_key = api_key
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self.user_api_key = user_api_key
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self.endpoint = "https://llm.docsgpt.co.uk"
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def _raw_gen(self, baseself, model, messages, stream=False, *args, **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", json={"prompt": prompt, "max_new_tokens": 30}
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)
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response_clean = response.json()["a"].replace("###", "")
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return response_clean
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def _raw_gen_stream(self, baseself, model, messages, stream=True, *args, **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={"prompt": prompt, "max_new_tokens": 256},
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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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