main.py

from fastapi import FastAPI
from typing import List
from vllm import LLM, SamplingParams
import os
from dotenv import load_dotenv

load_dotenv()

token: str = os.environ.get("HUGGINGFACE_TOKEN")

app = FastAPI()

@app.get("/llm_inference")
def read_root(
        prompt: str,
        model: str = "mistralai/Mistral-7B-v0.1",
        temperature: float = 0.,
        max_tokens: int = 1024) -> List:
    sampling_params = SamplingParams(temperature=temperature, max_tokens=max_tokens)

    llm = LLM(model=model)

    response = llm.generate([prompt], sampling_params)

    return response