This project provides a developer-friendly way to access the services of Huggingface, a platform that provides a large number of pre-trained models for Natural Language Processing (NLP). This is a Spring Cloud Starter for the Huggingface service that removes all the boilerplate code required to access the service. It uses the standards of Spring Boot and Spring Cloud to provide the configuration and the auto-wiring of the service objects.

Just provide the right properties as defined below and the appropriate Huggingface API token will be activated for injection into your Spring objects.

# for Huggingface API token
huggingface.apiToken=YOUR_API_TOKEN

huggingface.modelName=gpt3
huggingface.topK=5
huggingface.topP=0.5
huggingface.temperature=0.5
huggingface.repetitionPenalty=1.0
huggingface.maxNewTokens=100
huggingface.maxTime=60.0
huggingface.returnFullText=true
huggingface.numReturnSequences=1
huggingface.doSample=true
huggingface.options.useCache=true
huggingface.options.waitForModel=false

Once the right API token is injected, you can expect the activation of the HuggingfaceService.

One can use the activated service to interact with the Huggingface model inference endpoints based on the docs for the Huggingface Service.

Once activated, a Service can be autowired and used as below.

@RestController
public class HuggingfaceController {

   private final HuggingfaceService huggingfaceService;


   @Autowired
   public HuggingfaceController(HuggingfaceService huggingfaceService) {
      this.huggingfaceService = huggingfaceService;
   }

   @GetMapping("/invoke")
   public String invoke(@RequestParam String prompt) {
      try {
         return huggingfaceService.invoke(prompt);
      } catch (Exception e) {
         return "Error invoking Huggingface: " + e.getMessage();
      }
   }
}

You might also want to take a look at and/or run the Service tests. To do that, make sure you've set the appropriate HUGGINGFACE_API_TOKEN environment variable, then execute

mvn test -Dspring.profiles.active=authorized