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import os
import logging
import argparse
import requests
import numpy as np
def send_image_post_request(ARGS: argparse.Namespace) -> None:
logging.basicConfig(level=logging.INFO)
list_test_images = os.listdir(ARGS.dir_test_images)
for file_image in list_test_images:
file_image = os.path.join(ARGS.dir_test_images, file_image)
files = {"image_file": (file_image, open(file_image, "rb"))}
# if the deployment is on local machine
# response = requests.post(
# "http://127.0.0.1:7860/predict",
# files=files,
# )
# if the deployment is on hugging face
response = requests.post(
"https://abhishekrs4-handwriting-recognition.hf.space/predict",
files=files,
)
logging.info(response.json())
return
def main() -> None:
dir_test_images = "./sample_test_images/"
parser = argparse.ArgumentParser(
formatter_class=argparse.ArgumentDefaultsHelpFormatter
)
parser.add_argument(
"--dir_test_images",
default=dir_test_images,
type=str,
help="full directory path to dataset containing test images",
)
ARGS, unparsed = parser.parse_known_args()
send_image_post_request(ARGS)
return
if __name__ == "__main__":
main()
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