Update Readme.md

Author: purvasingh96

Chapter-wise code/Code - PyTorch/5. Deploy Models to PROD via Amazon Sagemaker/2. Deploy your own sentiment analysis model/Readme.md

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+# Deploying Sentiment Analysis Model to PROD using Amazon SageMaker
+
+## Algorithm
+1. Download or otherwise retrieve the data.
+2. Process / Prepare the data.
+3. Upload the processed data to S3.
+4. Build and train the pytorch model.
+5. Test the trained model (typically using a batch transform job).
+6. Deploy the trained model.
+7. Use the deployed model and delete the end-point after use.
+8. Re-deploy the model for web-app.
+    * Create a Lambda function and assign it an IAM role.
+    * Set-up the API gateway
+9. Deploy the end-point to PROD.
+
+## Results
+
+### Testing the web-app on positive reviews 
+
+<img src="Img/pos_review.png"></img><br><br>
+
+
+### Testing the web-app on negative reviews 
+
+<img src="Img/neg_review.png"></img><br><br>
+
+## Notes
+In order to raise ticket follow the below link-<br>
+
 [support ticket for instance capacity raise](https://console.aws.amazon.com/support/home?region=ap-south-1#/case/?displayId=7076603351&language=en)