File size: 909 Bytes
55c91ef
 
 
c08854c
c21381d
55c91ef
2a9023b
55c91ef
 
 
 
 
 
 
 
 
 
 
c21381d
55c91ef
05660cd
 
 
 
 
55c91ef
 
 
 
7dee98c
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
from ctransformers import AutoModelForCausalLM
from fastapi import FastAPI
from pydantic import BaseModel
import logging


llm = AutoModelForCausalLM.from_pretrained("zephyr-7b-beta.Q8_0.gguf",
model_type='mistral',
max_new_tokens = 1096,
threads = 3,
)

#Pydantic object
class validation(BaseModel):
    prompt: str
#Fast API
app = FastAPI()

@app.post("/bpandey23_llm")
async def stream(item: validation):
    logging.basicConfig(format='%(process)d-%(levelname)s-%(message)s')
    payload_llm="This is the prompt by the user: " + item.prompt
    logging.info(payload_llm)

    #llm stuff starts now
    system_prompt = 'Below is an instruction that describes a task. Write a response that appropriately completes the request.'
    E_INST = "</s>"
    user, assistant = "<|user|>", "<|assistant|>"
    prompt = f"{system_prompt}{E_INST}\n{user}\n{item.prompt}{E_INST}\n{assistant}\n"
    return llm(prompt)