SageMaker Deployment Project

The notebook and Python files provided here result in a simple web app which interacts with a deployed recurrent neural network performing sentiment analysis on movie reviews.

Instructions to execute in sagemaker

1. Clone the repository.

   	git clone https://github.com/eswar3/sentiment-analysis-sagemaker-deployment.git
   

2. Open the SageMaker Project.ipynb file.

   	jupyter notebook SageMaker Proejct.ipynb
   

3. Read and follow the instructions! You can find and download the dataset for this project in the notebook.

General Outline

• Step 1: Downloading the data
• Step 2: Preparing and Processing the data
• Step 3: Upload the data to S3
• Step 4: Build and Train the PyTorch Model
• Step 5: Testing the Model
• Step 6: Deploying the model for testing
• Step 7: Use the model for testing
• Step 6 Deploy the model for the web app
• Step 7 Use the model for the web app