From 909657b5f8b1e27dc543be600f6be43043214a70 Mon Sep 17 00:00:00 2001 From: Chun Tao Date: Tue, 29 Oct 2024 07:06:23 -0700 Subject: [PATCH] Update up-to-date public information for the avatar chatbot example (#228) * Fix invalid link fixed link for LivePortrait Signed-off-by: Chun Tao * remove sharepoint locations Signed-off-by: Chun Tao * update avatar project doc Signed-off-by: Chun Tao * update Signed-off-by: Chun Tao * add YT video link Signed-off-by: Chun Tao * update Signed-off-by: Chun Tao * add idz article link Signed-off-by: Chun Tao --------- Signed-off-by: Chun Tao --- .../rfcs/24-08-02-OPEA-AIAvatarChatbot.md | 36 +++++++++++------- community/rfcs/assets/avatar_design.png | Bin 0 -> 318854 bytes community/rfcs/assets/design.png | Bin 173014 -> 0 bytes 3 files changed, 22 insertions(+), 14 deletions(-) create mode 100644 community/rfcs/assets/avatar_design.png delete mode 100644 community/rfcs/assets/design.png diff --git a/community/rfcs/24-08-02-OPEA-AIAvatarChatbot.md b/community/rfcs/24-08-02-OPEA-AIAvatarChatbot.md index 09dd97f7..fbfd8c5f 100644 --- a/community/rfcs/24-08-02-OPEA-AIAvatarChatbot.md +++ b/community/rfcs/24-08-02-OPEA-AIAvatarChatbot.md @@ -1,7 +1,14 @@ # 24-08-02-OPEA-AIAvatarChatbot -A RAG-Powered Human-Like AI Avatar Audio Chatbot integrated with OPEA AudioQnA - +A Human-Like AI Avatar Audio Chatbot integrated with OPEA AudioQnA + +Code contributions: +"animation" component: https://github.com/opea-project/GenAIComps/tree/main/comps/animation/wav2lip +"AvatarChatbot" examples: https://github.com/opea-project/GenAIExamples/tree/main/AvatarChatbot + +Intel Developer Zone Article "Create an AI Avatar Talking Bot with PyTorch* and Open Platform for Enterprise AI (OPEA)": https://www.intel.com/content/www/us/en/developer/articles/technical/ai-avatar-talking-bot-with-pytorch-and-opea.html + +YouTube tech-talk video: https://youtu.be/OjaElyUB8Z0?si=6-IdxwTg0YFMraFl ## Author @@ -9,9 +16,9 @@ A RAG-Powered Human-Like AI Avatar Audio Chatbot integrated with OPEA AudioQnA ## Status -v0.1 - ASMO Team sharing on Fri 6/28/2024 -[GenAIComps pr #400](https://github.com/opea-project/GenAIComps/pull/400) (Under Review) -[GenAIExamples pr #523](https://github.com/opea-project/GenAIExamples/pull/523) (Under Review) +v0.1 - ASMO Team sharing on Thursday 10/24/2024 +* [GenAIComps pr #775](https://github.com/opea-project/GenAIComps/pull/775) | Merged +* [GenAIExamples pr #923](https://github.com/opea-project/GenAIExamples/pull/923) | Merged ## Objective @@ -39,10 +46,10 @@ The chatbot will: * Use multimodal retrieval-augmented generation (RAG) to generate more accurate, in-domain responses, in v0.2 New microservices include: -* animation +* [animation](https://github.com/opea-project/GenAIComps/tree/main/comps/animation/wav2lip) New megaservices include: -* AvatarChatbot +* [AvatarChatbot](https://github.com/opea-project/GenAIExamples/tree/main/AvatarChatbot) ## Motivation @@ -60,9 +67,9 @@ Related works include [Nvidia Audio2Face](https://docs.nvidia.com/ace/latest/mod ### Avatar Chatbot design -![avatar chatbot design](assets/design.png) +![avatar chatbot design](assets/avatar_design.png) -Currently, the RAG feature using the `embedding` and `dataprep` microservices is missing in the above design, including uploading relevant documents/weblinks, storing them in the database, and retrieving them for the LLM model. These features will be added in v0.2. +Currently, the RAG feature using the `embedding`, `retrieval`, `reranking` and `dataprep` microservices and VectorDB is missing in the above design, including uploading relevant documents/weblinks, storing them in the database, and retrieving them for the LLM model. These features will be added in v0.2. Flowchart: AvatarChatbot Megaservice @@ -217,13 +224,14 @@ End-to-End Inference Time for AvatarChatbot Megaservice (asr -> llm -> tts -> an On SPR: ~30 seconds for AudioQnA on SPR, -~40-200 seconds for AvatarAnimation on SPR +~30-200 seconds for AvatarAnimation on SPR On Gaudi 2: ~5 seconds for AudioQnA on Gaudi, -~10-50 seconds for AvatarAnimation on Gaudi, depending on: +~10-40 seconds for AvatarAnimation on Gaudi, depending on: 1) Whether the input is an image or a multi-frame, fixed-fps video -1) LipSync Animation DL model used: Wav2Lip_only or Wav2Lip+GFPGAN or SadTalker -2) Resolution and FPS rate of the resulting mp4 video +2) The `max_tokens` parameter used in LLM text generation +3) LipSync Animation DL model used: Wav2Lip_only or Wav2Lip+GFPGAN or SadTalker +4) Resolution and FPS rate of the resulting mp4 video -All latency reportings are as of 8/2/2024. +All latency reportings are as of 10/24/2024. diff --git a/community/rfcs/assets/avatar_design.png 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