Merge pull request #42 from dusty-nv/20231106-llamaspeak

added llamaspeak page

docs/tutorial_llamaspeak.md

@@ -0,0 +1,15 @@
+# Tutorial - llamaspeak
+
+Talk live with Llama using Riva ASR/TTS, and chat about images with Llava!
+
+<a href="https://github.com/dusty-nv/jetson-containers/tree/master/packages/llm/llamaspeak" target=”_blank”><img src="https://raw.githubusercontent.com/dusty-nv/jetson-containers/docs/docs/images/llamaspeak_voice_clip.gif"></a>
+
+* [`llamaspeak:v1`](https://github.com/dusty-nv/jetson-containers/tree/master/packages/llm/llamaspeak) - uses text-generation-webui loaders for LLM models (llama.cpp, exllama, AutoGPTQ, Transformers)
+* [`llamaspeak:v2`](https://github.com/dusty-nv/jetson-containers/tree/master/packages/llm/local_llm) - uses AWQ/MLC from [`local_llm`](https://github.com/dusty-nv/jetson-containers/tree/master/packages/llm/local_llm) package, web chat voice agent 
+
+llamaspeak v2 has multimodal support for chatting about images with quantized Llava-1.5:
+
+<a href="https://github.com/dusty-nv/jetson-containers/tree/master/packages/llm/local_llm" target=”_blank”><img src="https://raw.githubusercontent.com/dusty-nv/jetson-containers/docs/docs/images/llamaspeak_llava_clip.gif"></a>
+> [Multimodal Voice Chat with LLaVA-1.5 13B on NVIDIA Jetson AGX Orin](https://www.youtube.com/watch?v=9ObzbbBTbcc) (container: [`local_llm`](https://github.com/dusty-nv/jetson-containers/tree/master/packages/llm/local_llm))  
+
+See the [`Voice Chat`](https://github.com/dusty-nv/jetson-containers/tree/master/packages/llm/local_llm#voice-chat) section of the [`local_llm`](https://github.com/dusty-nv/jetson-containers/tree/master/packages/llm/local_llm) documentation to run llamaspeak v2.

mkdocs.yml

@@ -69,8 +69,7 @@ nav:
     - About NVIDIA Jetson: tutorial-intro.md
     - Text (LLM):
       - text-generation-webui: tutorial_text-generation.md 
-    # - LLM + ASR/TTS:
-    #   - LlamaSpeak: tutorial_llamaspeak.md
+      - llamaspeak: tutorial_llamaspeak.md
     - Text + Vision (VLM):
       - Mini-GPT4: tutorial_minigpt4.md
       - LLaVA: tutorial_llava.md