Uploading Gradio multimodal RAG demo

README.md

@@ -4,7 +4,6 @@ emoji: 👁️📑
 colorFrom: green
 colorTo: green
 sdk: gradio
-python_version: "3.12"
 app_file: app.py
 pinned: false
 license: apache-2.0
@@ -28,6 +27,6 @@ Details:
 * **Embedding model used:** https://huggingface.co/nvidia/llama-nemotron-embed-vl-1b-v2
     * **Note:** By default we use the image + text embeddings as we have access to image and text pairs in our dataset, and according to the [launch blog post](https://huggingface.co/blog/nvidia/llama-nemotron-vl-1b), these work the best.
 * **Rerank model used:** https://huggingface.co/nvidia/llama-nemotron-rerank-vl-1b-v2
-* **Generation model used:** https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-FP8 
+* **Generation model used:** https://huggingface.co/Qwen/Qwen3-VL-2B-Instruct (note: you could use a larger model such as [Nemotron v3](https://huggingface.co/collections/nvidia/nvidia-nemotron-v3), however, this will require more compute resources)
 
 **Note:** This README.md was authored in a [live tutorial recorded for YouTube](https://youtube.com/live/XWmqcFiBvpU?feature=share).

image_text_embeddings_10k.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:53d950314e50f14356586749a457f1cb2be12b720563a9777c2c1a4c9197b90e
+size 41353320

requirements.txt

@@ -1,7 +1,7 @@
 torch==2.9.1
 torchvision==0.24.1
 transformers==4.57.3
-gradio==6.8.0
+gradio==6.2.0
 datasets==4.4.2
 safetensors==0.7.0
 Pillow==12.0.0