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Generative AI App LangChain Hugging Face Open Source Models Tutorial

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Generative AI App LangChain Hugging Face Open Source Models Tutorial Introduction         If you are looking to build a simple Generative AI App using open source models, then you are at the right place. When I was looking online for a tutorial to build a simple Generative AI App, I usually find videos which are very long and complex to follow or I find courses which are also very long and very time consuming. Hence I decided to come up with this tutorial.         In this tutorial we will focus on building a Generative AI App using simple Python code, LangChain, Open Source models from Hugging Face and Streamlit UI. In this tutorial we will build a simple Generative AI App which creates a caption for any uploaded image, then creates a short story based on the generated caption and then creates an audio file of the generated story which you can listen to. Basics         We will start with some basic concepts and then move on to building this app. We see a lot of abbreviations being used
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PHP MySQL REST API CRUD Tutorial

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PHP MySQL REST API CRUD Tutorial Introduction         I was looking for a simple Full Stack PHP CRUD REST API Tutorial online, but there was not one tutorial which had both the UI and the REST APIs together. In most of the tutorials either the UI only is explained or else the REST APIs are explained without the UI. Hence I decided to come up with a simple post on this which can be used as a base to build your own full stack PHP app.         In this post, we will build an Employee Dashboard App which can be used to view, create, update and delete Employee Data. We will be building the corresponding CRUD APIs.  PHP         PHP (Hypertext Preprocessor), originally stood for “Personal Home Page” and is a scripting language used for web development. Advantages of PHP include: State: Each and every web request starts from a completely blank slate. Concurrency: Each and every web request runs in a single PHP thread.
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Dropwizard AWS LocalStack Tutorial

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Dropwizard AWS LocalStack Tutorial Introduction         Dropwizard is one of the most popular frameworks used today for building microservices. I was looking for a simple Dropwizard AWS LocalStack Tutorial online, but there are a very few tutorials. Some are very tough to follow. Hence I decided to come up with a simple post on this topic.         In this tutorial, we will focus on creating a Dropwizard App and integrating it with AWS SQS(Simple Queue Service) and SNS(Simple Notification Service). Then we will make a SQS Queue to subscribe to a SNS Topic, publish a message on the topic and retrieve it on the SQS Queue. LocalStack         LocalStack is a fully functional local cloud stack. With LocalSatck, you can run your AWS Applications or Lambdas on your local machine without connecting to a remote cloud provider. To know more about LocalStack please visit their  website . I am assuming that you have a Basic Knowledge of Dropwizard and have a
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