File size: 1,249 Bytes
3a9c9c9 85544e6 3a9c9c9 | 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 32 33 34 35 36 37 38 39 40 41 42 43 | import os
import logging
from fastapi import FastAPI, HTTPException
from fastapi.responses import StreamingResponse
from pydantic import BaseModel
from langchain_community.llms import Ollama
from langchain.callbacks.manager import CallbackManager
from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
app = FastAPI()
MODEL_NAME = 'tinyllama'
def get_llm():
callback_manager = CallbackManager([StreamingStdOutCallbackHandler()])
return Ollama(model=MODEL_NAME, callback_manager=callback_manager)
class Question(BaseModel):
text: str
@app.get("/")
def read_root():
return {"Hello": f"Welcome to {MODEL_NAME} FastAPI"}
@app.post("/generate")
def generate_response(q: Question):
try:
llm = get_llm()
response = llm.invoke(q.text)
return {"response": response}
except Exception as e:
logger.error(f"Error generating response: {e}")
raise HTTPException(status_code=500, detail=str(e))
@app.on_event("startup")
async def startup_event():
logger.info(f"Starting up with model: {MODEL_NAME}")
@app.on_event("shutdown")
async def shutdown_event():
logger.info("Shutting down") |