https://github.com/ankitmishralive/AIBlogGen-AWS-Bedrock-Lambda-S3
This project is designed to generate a blog using AWS Bedrock's language model service, specifically leveraging Meta's LLama model (meta.llama3-70b-instruct-v1:0). The Overall architecture involves AWS Lambda, API Gateway, Bedrock, S3, and Postman as the API client for testing.
https://github.com/ankitmishralive/AIBlogGen-AWS-Bedrock-Lambda-S3
aws aws-apigateway aws-bedrock aws-lambda aws-s3 gen-ai llama3 python3
Last synced: about 2 months ago
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This project is designed to generate a blog using AWS Bedrock's language model service, specifically leveraging Meta's LLama model (meta.llama3-70b-instruct-v1:0). The Overall architecture involves AWS Lambda, API Gateway, Bedrock, S3, and Postman as the API client for testing.
- Host: GitHub
- URL: https://github.com/ankitmishralive/AIBlogGen-AWS-Bedrock-Lambda-S3
- Owner: ankitmishralive
- Created: 2024-11-08T21:09:46.000Z (7 months ago)
- Default Branch: master
- Last Pushed: 2024-11-17T21:47:23.000Z (7 months ago)
- Last Synced: 2025-03-13T07:11:18.201Z (3 months ago)
- Topics: aws, aws-apigateway, aws-bedrock, aws-lambda, aws-s3, gen-ai, llama3, python3
- Language: Python
- Homepage:
- Size: 85 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# End to End A.I Blog Generation with AWS Bedrock, AWS Lambda and S3 Storage
This project is designed to generate a blog using AWS Bedrock's language model service, specifically leveraging Meta's LLama model (meta.llama3-70b-instruct-v1:0). The Overall architecture involves AWS Lambda, API Gateway, Bedrock, S3, and Postman as the API client for testing.
## Architecture
Below is the architecture diagram for the Blog Generation system:
- **Postman**: Used to test the API endpoint.
- **API Gateway**: Acts as the entry point, routing requests to the Lambda function.
- **AWS Lambda**: Executes the blog generation logic by invoking the Bedrock model and saves the output to S3.
- **AWS Bedrock**: Provides a large language model (LLM) used to generate the blog content.
- **Amazon S3**: Stores the generated blog as a text file.
## Prerequisites
- **AWS Account**: You need an AWS account to set up and configure the services.
- **AWS CLI**: [AWS CLI](https://aws.amazon.com/cli/) installed and configured.
- **Postman**: For sending test requests to the API.
## Setup
### 1. Configure Bedrock and S3
- **Amazon Bedrock**: Ensure Bedrock is enabled in your AWS account.
- **Amazon S3**: Create an S3 bucket (e.g., `aws_bedrock_v1`) where the generated blog text files will be stored.
### 2. Deploy Lambda Function
1. **Create a Lambda function** in AWS Lambda.
2. **Set up permissions** for the Lambda function:
- Grant `S3` permissions to store generated blog content.
- Grant `Bedrock` permissions to call the Bedrock model.
3. Upload the `lambda_function.py` code (below) to the Lambda function, ensuring any dependencies like `botocore` and `boto3` are properly installed.
### 3. Configure API Gateway
1. Set up an **API Gateway** to trigger the Lambda function.
2. Create a **POST** endpoint to handle incoming requests with `blogtopic` as a parameter in the body.
3. Enable **CORS** if testing with Postman.
### 4. Testing with Postman
- Use **Postman** to make a `POST` request to the API Gateway endpoint with JSON body input:
```json
{
"blogtopic": "Your Blog Topic Here"
}
```
The function will generate a blog, save it to S3, and respond with a confirmation message.
## Troubleshooting
- **Permissions**: Ensure the Lambda function has `S3` write permissions and `Bedrock` invoke permissions.
- **Timeouts**: Adjust the Lambda timeout settings to ensure Bedrock has enough time to generate the blog.
## License
This project is open source and available under the [MIT License](LICENSE).
## Author
This project is created and maintained by [Ankit Mishra](https://ankitmishra.live/).
You can find my GitHub profile here: [@ankitmishralive](https://github.com/your-github-id).