iris_classification_lambda / inference_api.py
Clement Vachet
Add inference python file
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import requests
import io
import json
import argparse
import sys
# Default examples
# api_url = "http://localhost:8080/2015-03-31/functions/function/invocations"
def arg_parser():
"""Parse arguments"""
# Create an ArgumentParser object
parser = argparse.ArgumentParser(description='Object detection inference via API call')
# Add arguments
parser.add_argument('-u', '--url', type=str, help='URL to the server (with endpoint location)', required=True)
parser.add_argument('-d', '--data', type=str, help='Input data', required=True)
parser.add_argument('-v', '--verbose', action='store_true', help='Increase output verbosity')
return parser
def main(args=None):
"""Main function"""
args = arg_parser().parse_args(args)
# Use the arguments
if args.verbose:
print(f'Input data: {args.data}')
print(f'Input data type: {type(args.data)}')
# Send request to API
response = requests.post(args.url, json=json.loads(args.data))
if response.status_code == 200:
# Process the response
processed_data = json.loads(response.content)
print('processed_data', processed_data)
else:
print(f"Error: {response.status_code}")
if __name__ == "__main__":
sys.exit(main(sys.argv[1:]))