main.py
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main.py
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from ctransformers import AutoModelForCausalLM
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from fastapi import FastAPI
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from pydantic import BaseModel
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llm = AutoModelForCausalLM.from_pretrained("TheBloke/CodeLlama-7B-Instruct-GGUF",
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model_file="codellama-7b-instruct.q4_K_M.gguf",
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model_type="llama",
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gpu_layers=0)
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#Pydantic object
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class validation(BaseModel):
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prompt: str
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#Fast API
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app = FastAPI()
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@app.post("/llm_on_cpu")
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async def stream(item: validation):
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system_prompt = 'Below is an instruction that describes a task. Write a response that appropriately completes the request.'
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E_INST = "</s>"
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user, assistant = "<|user|>", "<|assistant|>"
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prompt = f"{system_prompt}{E_INST}\n{user}\n{item.prompt}{E_INST}\n{assistant}\n"
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return llm(prompt)
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