adding links

.gitignore

@@ -0,0 +1 @@
+venv

app.py

@@ -225,8 +225,27 @@ def classify_image(
 
 with gr.Blocks() as demo:
     gr.Markdown("# Image Classification with Taxonomy Mapping")
+    gr.Markdown("""
+        <div style="display: flex; gap: 10px;">
+            <a href="https://www.marqo.ai/blog/introducing-marqos-ecommerce-embedding-models">
+                <img src="https://img.shields.io/badge/Model_Release-Blog-blue?logo=font-awesome&logoColor=white&style=flat&logo=pencil-alt" alt="Blog">
+            </a>
+            <a href="https://huggingface.co/collections/Marqo/marqo-ecommerce-embeddings-66f611b9bb9d035a8d164fbb">
+                <img src="https://img.shields.io/badge/🤗-Hugging_Face-yellow?logo=hugging-face&logoColor=white&style=flat&logo=pencil-alt" alt="Hugging Face">
+            </a>
+            <a href="https://www.marqo.ai/blog/how-to-build-an-ecommerce-image-search-application">
+                <img src="https://img.shields.io/badge/Ecommerce_Search_-Blog-red?logo=font-awesome&logoColor=white&style=flat&logo=pencil-alt" alt="Blog">
+            </a>
+            <a href="https://colab.research.google.com/drive/1Syl9Gde6LguyMjlpDANetbpvBNb9ddxw?usp=sharing">
+                <img src="https://img.shields.io/badge/🤝_-Open_In_Google_Colab-orange?logo=font-awesome&logoColor=white&style=flat&logo=pencil-alt" alt="Colab">
+            </a>
+            <a href="https://join.slack.com/t/marqo-community/shared_invite/zt-2b4nsvbd2-TDf8agPszzWH5hYKBMIgDA">
+                <img src="https://img.shields.io/badge/Slack-Join_Marqo_Community-purple?logo=Slack" alt="Slack Community">
+            </a>
+        </div>
+        """)
     gr.Markdown(
-        "## How to use this app\n\nThis app compares Marqo's E-commerce embeddings to OpenAI's ViT-B-16 CLIP model for E-commerce taxonomy mapping. A beam search is used to find the correct classification in the taxonomy. The original OpenAI CLIP models perform very poorly on E-commerce data."
+        "## How to use this app\n\nThis app compares Marqo's Ecommerce embeddings to OpenAI's ViT-B-16 CLIP model for Ecommerce taxonomy mapping. A beam search is used to find the correct classification in the taxonomy. The original OpenAI CLIP models perform very poorly on Ecommerce data."
     )
     gr.Markdown(
         "Upload an image, provide an image URL, or select an example image, select the model size, and get the taxonomy mapping. The taxonomy is based on the Amazon product taxonomy."