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https://github.com/meiyor/chatbot_jmmapi_aws_lambda_configuration
This is the ChatBot code for the API loaded as Lambda function in AWS services. This API loads a Claude Sonnet 3 model from AWS Bedrock
https://github.com/meiyor/chatbot_jmmapi_aws_lambda_configuration
api aws aws-lambda flask
Last synced: 6 days ago
JSON representation
This is the ChatBot code for the API loaded as Lambda function in AWS services. This API loads a Claude Sonnet 3 model from AWS Bedrock
- Host: GitHub
- URL: https://github.com/meiyor/chatbot_jmmapi_aws_lambda_configuration
- Owner: meiyor
- License: mit
- Created: 2024-11-02T00:16:04.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2024-11-14T22:26:55.000Z (3 months ago)
- Last Synced: 2025-02-13T23:16:48.015Z (6 days ago)
- Topics: api, aws, aws-lambda, flask
- Language: Python
- Homepage: https://avgatsrxmtkd5lxilgojvkmszu0mdjrp.lambda-url.us-east-1.on.aws/
- Size: 101 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# ChatBot_JMMAPI_AWS_Lambda_Configuration
For running this API from your side you need to configure the serverless CLI in your local console,
and run this command after you have configure the **serverless.yml** with your credentials and environment variables.```python
sls deploy
```Here you can see a detailed pipeline-schematic of the API architecture:

Before anything, please be sure you have access and permissions for ECR, S3, Bedrock and Sagemaker services in AWS. A snapshot
of the different permissions you need to configure this API are here. For any detail about configuration and deployment
please don't hesitate to contact me [here](mailto:[email protected]).
Here are two FrontEnd examples of this execution.
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Please in order to execute and interact with the API, follow the instructions and sequences described in this explanatory video
[https://drive.google.com/file/d/1WdxZR2jNM9fGjukFNCYyiFuWVK2nICHK/view?usp=sharing](https://drive.google.com/file/d/1WdxZR2jNM9fGjukFNCYyiFuWVK2nICHK/view?usp=sharing)You can also access the ngrok server address [https://appchatbot.ngrok.app](https://appchatbot.ngrok.app)