File size: 1,428 Bytes
4d7fcdf | 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 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 | from fastapi import FastAPI
from pydantic import BaseModel
import asyncio
from typing import List, Union
from test_main import mainDet
import uvicorn
import logging
from datetime import datetime
import pytz
import torch
import json
app = FastAPI()
class Item(BaseModel):
url: str
def get_bd_time():
bd_timezone = pytz.timezone("Asia/Dhaka")
time_now = datetime.now(bd_timezone)
current_time = time_now.strftime("%I:%M:%S %p")
return current_time
async def process_item(item: Item):
try:
result = await mainDet(item.url)
result = json.loads(result)
return result
finally:
torch.cuda.empty_cache()
pass
@app.get("/status")
async def status():
return "AI Server in running"
@app.post("/Test_bkash_sticker_count")
async def create_items(items: Union[Item, List[Item]]):
try:
results = await process_item(items)
print("Result Sent to User:", results)
print("###################################################################################################")
print(items)
print("Last Execution Time : ", get_bd_time())
return results
except Exception as e:
return {"AI": f"Error: {str(e)}"}
finally:
torch.cuda.empty_cache()
pass
if __name__ == "__main__":
try:
uvicorn.run(app, host="127.0.0.1", port=8000)
finally:
torch.cuda.empty_cache()
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