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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")
"""
model_path = "/code/cache/hub/models--TheBloke--Mistral-7B-v0.1-GGUF/snapshots/d4ae605152c8de0d6570cf624c083fa57dd0d551/mistral-7b-v0.1.Q4_K_M.gguf"
llm = Llama(
model_path=model_path,
n_ctx=2048,
)
print("kaki")
print(model_path)
print("kaki")
@app.get("/")
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)) |