Use anonymous boto client in examples/pytorch/image-classifier-resnet50/predictor.py

(cherry picked from commit 6be60b7)

Author: deliahu

examples/pytorch/image-classifier-resnet50/predictor.py

@@ -7,6 +7,8 @@
 import requests
 import re
 import boto3
+from botocore import UNSIGNED
+from botocore.client import Config
 from torchvision import models, transforms, datasets
 
 
@@ -27,11 +29,16 @@ def __init__(self, config):
         classes = requests.get(config["classes"]).json()
         self.idx2label = [classes[str(k)][1] for k in range(len(classes))]
 
+        # create s3 client
+        if os.environ.get("AWS_ACCESS_KEY_ID"):
+            s3 = boto3.client("s3")  # client will use your credentials if available
+        else:
+            s3 = boto3.client("s3", config=Config(signature_version=UNSIGNED))  # anonymous client
+
         # download the model
         model_path = config["model_path"]
         model_name = config["model_name"]
         bucket, key = re.match("s3://(.+?)/(.+)", model_path).groups()
-        s3 = boto3.client("s3")
         s3.download_file(bucket, os.path.join(key, model_name), model_name)
 
         # load the model

examples/tensorflow/text-generator/encoder.py

@@ -2,7 +2,6 @@
 
 # This file includes code which was modified from https://github.com/openai/gpt-2
 
-import boto3
 import json
 import regex
 from functools import lru_cache