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Update main.py

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  1. main.py +4 -7
main.py CHANGED
@@ -1,27 +1,24 @@
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  from ctransformers import AutoModelForCausalLM
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- from fastapi import FastAPI, Form
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  from pydantic import BaseModel
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- #Model loading
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- llm = AutoModelForCausalLM.from_pretrained("zephyr-7b-beta.Q4_K_S.gguf",
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  model_type='mistral',
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  max_new_tokens = 1096,
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  threads = 3,
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  )
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-
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  #Pydantic object
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  class validation(BaseModel):
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  prompt: str
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-
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  #Fast API
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  app = FastAPI()
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- #Zephyr completion
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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.strip()}{E_INST}\n{assistant}\n"
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  return llm(prompt)
 
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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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+
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+ llm = AutoModelForCausalLM.from_pretrained("noromaid-20b-v0.1.1.Q6_K.gguf",
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  model_type='mistral',
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  max_new_tokens = 1096,
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  threads = 3,
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  )
 
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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)