Sending Batch request to azure cognitive API for TEXT-OCR

I am calling azure cognitive API for OCR text-recognization and I am passing 10-images at the same time simultaneously **(as the code below only accepts one image at a time-- that is 10-independent requests in parallel)** which is not efficient to me, from processing point of view, as I need to use extra modules i.e: Celery and multiprocessing.

So, is there a way to send all the 10-images in a single request and get the output at once then do post processing?
```
import time
from io import BytesIO

import cv2
import requests
from PIL import Image as PILImage
from PIL import Image
file_list = []

headers = {
"Ocp-Apim-Subscription-Key": "",
'Content-Type': 'application/octet-stream'}

p = "symbol_sample.jpg"
print(p,"p")

def recognise_text(p):
p = cv2.imread(p)
cropped_image = PILImage.fromarray(p)
buffer = BytesIO()
cropped_image.save(buffer, format="JPEG")
image_bytes = buffer.getvalue()
try:
response = requests.post(
"https://centralindia.api.cognitive.microsoft.com/vision/v2.0/recognizeText?mode=Printed",
headers=headers,
data=image_bytes
)
header_link = str(response.headers['Operation-Location'])
while (True):
headers_get = {
"Ocp-Apim-Subscription-Key": """,
'Content-Type': 'application/json'
}
result = requests.get(
url=header_link,
headers=headers_get
)
response_r = result.json()
if response_r["status"] == "Succeeded":
return response_r
else:
time.sleep(4)
except Exception as e:
print(e)
return ""

image1="symbol_sample.jpg"
o = recognise_text(image1)
print(o)
```

Any help would be really appreciated.