# Workbench Bridges
End User Application Bridges to Workbench/AWS ML Pipelines.
## Installation
```
pip install workbench-bridges
```
## Examples
Application invocation of an Endpoint on AWS.
```
import pandas as pd
# Workbench-Bridges Imports
from workbench_bridges.endpoints.fast_inference import fast_inference
if __name__ == "__main__":
# Data will be passed in from the End-User Application
eval_df = pd.read_csv("test_evaluation_data.csv")
# Run inference on AWS Endpoint
endpoint_name = "test-my-endpoint"
results = fast_inference(endpoint_name, eval_df)
# A Dataframe with Predictions is returned
print(results)
```
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