Develop An AI Avatar ChatBot with PyTorch And OPEA

The OPEA-based AI Avatar Audio Chatbot example automatically divides its workload over four Intel Gaudi cards on a single Intel Gaudi 2 AI accelerator node

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Every microservice is made to carry out a certain activity or function inside the application architecture

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A megaservice coordinates several microservices to provide a complete solution, as opposed to individual microservices that concentrate on particular tasks

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Request transformation, rate limitation, API design, versioning, and data retrieval from microservices are all supported by gateways

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In a second approach, it can provide FP8 inference on the Intel Gaudi accelerator by utilizing the Intel Neural Compressor package

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The code is available at this site. In Wav2Lip animation, it permits configurable frames-per-second (fps) for the video frame creation

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The user-specified “fps” parameter regulates this. It can choose the frame rate for the finished video when the visual input to Wav2Lip is an image with the avatar’s face

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