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quarkus-gpt

This project uses GPT4All project to create simple api that respond to question about generating Java code - simple code generator powered by GPT4All model.

This project uses Quarkus, the Supersonic Subatomic Java Framework. If you want to learn more about Quarkus, please visit its website: https://quarkus.io/ .

Prerequsits

Download models: https://huggingface.co/orel12/ggml-gpt4all-j-v1.3-groovy/tree/main https://tfhub.dev/google/universal-sentence-encoder/4

Run postgresql with pgvector extension

docker run -e POSTGRES_USER=user -e POSTGRES_PASSWORD=password -p 5432:5432 -v /data:/var/lib/postgresql/data --name postgresql ankane/pgvector

Run SQL that adds ex: create database embeddings; create extension vector;

Running the application in dev mode

You can run your application in dev mode that enables live coding using:

./mvnw compile quarkus:dev

NOTE: Quarkus now ships with a Dev UI, which is available in dev mode only at http://localhost:8080/q/dev/.

Packaging and running the application

The application can be packaged using:

./mvnw package

It produces the quarkus-run.jar file in the target/quarkus-app/ directory. Be aware that it’s not an über-jar as the dependencies are copied into the target/quarkus-app/lib/ directory.

The application is now runnable using java -jar target/quarkus-app/quarkus-run.jar.

If you want to build an über-jar, execute the following command:

./mvnw package -Dquarkus.package.type=uber-jar

The application, packaged as an über-jar, is now runnable using java -jar target/*-runner.jar.

Creating a native executable

You can create a native executable using:

./mvnw package -Dnative

Or, if you don't have GraalVM installed, you can run the native executable build in a container using:

./mvnw package -Dnative -Dquarkus.native.container-build=true

You can then execute your native executable with: ./target/quarkus-gpt-1.0.0-SNAPSHOT-runner

If you want to learn more about building native executables, please consult https://quarkus.io/guides/maven-tooling.

Usage guide

Steps:

Check if app is responding GET http://localhost:8080/interact

Try code generation skills of the chat (response will take around 1 min) POST http://localhost:8080/interact Content-Type: text/plain Body: write a Java program that encodes string to base64

Add a content to db: POST http://localhost:8080/interact/article Content-Type: text/plain Body: Elephant is cool

Ask a question about your's content: POST http://localhost:8080/interact/ask Content-Type: text/plain Body: What is Elephant?

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