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https://github.com/arc53/DocsGPT.git
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refactor: update env variable names
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@@ -2,6 +2,7 @@ from application.llm.base import BaseLLM
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from application.core.settings import settings
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import threading
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class LlamaSingleton:
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_instances = {}
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_lock = threading.Lock() # Add a lock for thread synchronization
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@@ -29,7 +30,7 @@ class LlamaCpp(BaseLLM):
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self,
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api_key=None,
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user_api_key=None,
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llm_name=settings.MODEL_PATH,
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llm_name=settings.LLM_PATH,
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*args,
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**kwargs,
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):
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@@ -42,14 +43,18 @@ class LlamaCpp(BaseLLM):
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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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result = LlamaSingleton.query_model(self.llama, prompt, max_tokens=150, echo=False)
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result = LlamaSingleton.query_model(
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self.llama, prompt, max_tokens=150, echo=False
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)
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return result["choices"][0]["text"].split("### Answer \n")[-1]
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def _raw_gen_stream(self, baseself, model, 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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result = LlamaSingleton.query_model(self.llama, prompt, max_tokens=150, echo=False, stream=stream)
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result = LlamaSingleton.query_model(
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self.llama, prompt, max_tokens=150, echo=False, stream=stream
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)
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for item in result:
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for choice in item["choices"]:
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yield choice["text"]
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yield choice["text"]
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