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Chapter 7. Uploading files to your bucket

To upload files to your bucket from your workbench, use the upload_file() method.

Prerequisites

You have cloned the odh-doc-examples repository to your workbench.
You have opened the s3client_examples.ipynb file in your workbench.
You have installed Boto3 and configured an S3 client.
You have imported the files that you want to upload to your object store to your workbench.

Procedure

In the Jupyter notebook, locate the instructions to upload files to a bucket.

#Upload file to bucket
#Replace <file_name>, <bucket_name>, and <object_name> with your values.
#<file_name>: Name of the file to upload. This value must include the full local path to the file on your workbench.
#<bucket_name>: The name of the bucket to upload the file to.
#<object_name>: The full key to use to save the file to the bucket.

s3_client.upload_file('<file_name>', '<bucket_name>', '<object_name>')

Replace <file_name>, <bucket_name> and <object_name> with your own values, as shown in the example, and then run the code cell.
```
s3_client.upload_file('image-973-series123.csv', 'aqs973-image-registry', '/tmp/image-973-series124.csv')
```

Verification

Locate the following instructions to list files in a bucket:

#Upload Verification
for key in s3_client.list_objects_v2(Bucket='<bucket_name>')['Contents']:
print(key['Key'])

Replace <bucket_name> with the name of your bucket, as shown in the example, and then run the code cell.
```
#Upload Verification
for key in s3_client.list_objects_v2(Bucket='aqs973-image-registry')['Contents']:  print(key['Key'])
```
The file that you uploaded is displayed in the output.

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Chapter 7. Uploading files to your bucket

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