update on latest release from gradient-python-sdk (embeddings batching) and async.

Author: michaelfeil

Diff for: README.md

@@ -15,7 +15,10 @@ GRADIENT_WORKSPACE_ID=...
 
 1. Clone this repo
 2. Run `poetry install`
-3. Run `poetry run fine_tune` to run fine-tuning example, or `poetry run embeddings` to run embeddings example
+3. Run any of the following:
+   - `poetry run fine_tune`
+   - `poetry run embeddings`
+   - `poetry run guidance`
 
 ## Example
 

Diff for: gradient_sdk_python_example/embeddings.py

@@ -2,14 +2,15 @@
 
 load_dotenv()
 from gradientai import Gradient
-
+import asyncio
 
 def main() -> None:
+    print("running sync embeddings example")
     gradient = Gradient()
 
     embeddings_model = gradient.get_embeddings_model(slug="bge-large")
 
-    generate_embeddings_response = embeddings_model.generate_embeddings(
+    generate_embeddings_response = embeddings_model.embed(
         inputs=[
             {
                 "input": "Multimodal brain MRI is the preferred method to evaluate for acute ischemic infarct and ideally should be obtained within 24 hours of symptom onset, and in most centers will follow a NCCT"
@@ -28,6 +29,31 @@ def main() -> None:
 
     gradient.close()
 
+async def main_async() -> None:
+    print("running async embeddings example")
+    gradient = Gradient()
+
+    embeddings_model = gradient.get_embeddings_model(slug="bge-large")
+
+    generate_embeddings_response = await embeddings_model.aembed(
+        inputs=[
+            {
+                "input": "Multimodal brain MRI is the preferred method to evaluate for acute ischemic infarct and ideally should be obtained within 24 hours of symptom onset, and in most centers will follow a NCCT"
+            },
+            {
+                "input": "CTA has a higher sensitivity and positive predictive value than magnetic resonance angiography (MRA) for detection of intracranial stenosis and occlusion and is recommended over time-of-flight (without contrast) MRA"
+            },
+            {
+                "input": "Echocardiographic strain imaging has the advantage of detecting early cardiac involvement, even before thickened walls or symptoms are apparent"
+            },
+        ],
+    )
+
+    for embedding in generate_embeddings_response.embeddings:
+        print(f"generated embedding: {embedding.embedding}")
+
+    gradient.close()
 
 if __name__ == "__main__":
     main()
+    asyncio.run(main_async())