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from fastapi import FastAPI, HTTPException | |
from transformers import AutoModelForCausalLM, AutoTokenizer | |
import os | |
import copy | |
import time | |
import llama_cpp | |
from llama_cpp import Llama | |
from huggingface_hub import hf_hub_download | |
app = FastAPI() | |
model_path = hf_hub_download( | |
repo_id="TheBloke/Mistral-7B-v0.1-GGUF", | |
filename="mistral-7b-v0.1.Q4_K_M.gguf") | |
llm = Llama( | |
model_path=model_path, | |
n_ctx=2048, | |
n_threads=2 | |
) | |
async def generate_text(): | |
try: | |
output = llm( | |
"Q: Name the planets in the solar system? A: ", | |
max_tokens=32, | |
stop=["Q:", "\n"], | |
echo=True) | |
return output | |
except Exception as e: | |
raise HTTPException(status_code=500, detail=str(e)) |