Upgrading to nomic 1.5

app.py

@@ -46,7 +46,7 @@ details_md = """
 ## Creation Details
 1. This space is triggered by a webhook for changes on [derek-thomas/dataset-creator-reddit-bestofredditorupdates](https://huggingface.co/datasets/derek-thomas/dataset-creator-reddit-bestofredditorupdates).
 2. It then takes the updates from that dataset and get embeddings by making leveraging [derek-thomas/nomic-embeddings](https://huggingface.co/spaces/derek-thomas/nomic-embeddings)
-    - [derek-thomas/nomic-embeddings](https://huggingface.co/spaces/derek-thomas/nomic-embeddings) is using [zero-spaces](https://huggingface.co/zero-gpu-explorers) a free GPU service
+    - [derek-thomas/nomic-embeddings](https://huggingface.co/spaces/derek-thomas/nomic-embeddings) is using [zero-spaces](https://huggingface.co/zero-gpu-explorers) a free GPU service to compute the model [nomic-ai/nomic-embed-text-v1.5](https://huggingface.co/nomic-ai/nomic-embed-text-v1.5)
     - Im calling this via [gradio_client](https://www.gradio.app/docs/client) which allows any space to be used as an API
 3. The calculated embeddings are stored in this dataset [derek-thomas/reddit-bestofredditorupdates-processed](https://huggingface.co/datasets/derek-thomas/reddit-bestofredditorupdates-processed)
 4. These get visualized by [nomic atlas](https://docs.nomic.ai/atlas/introduction/quick-start). You can see how I process it in [build_nomic.py](https://huggingface.co/spaces/derek-thomas/processing-bestofredditorupdates/blob/main/src/build_nomic.py)

src/utilities.py

@@ -61,5 +61,5 @@ def merge_and_update_datasets(dataset, original_dataset):
 
 
 def update_embeddings(content, client):
-    embedding = client.predict(content, api_name="/embed")
+    embedding = client.predict('search_document: ' + content, api_name="/embed")
     return np.array(embedding)