3.0.19

Signed-off-by: Praneeth Bedapudi <[email protected]>

recipes/text_embeddings/example.py

@@ -0,0 +1,5 @@
+example = [
+    "This is a test sentence which is a bit longer than the others and also very long than normal and some more words here and some more words here and some more there",
+    "This is another test sentence",
+    "This is a third test sentence"
+]

recipes/text_embeddings/predictor.py

@@ -0,0 +1,11 @@
+from sentence_transformers import SentenceTransformer
+
+sentences = ['That is a happy person', 'That is a very happy person']
+
+model = SentenceTransformer('Alibaba-NLP/gte-base-en-v1.5', trust_remote_code=True)
+
+from time import time
+
+def predictor(input_list, batch_size=16):
+    return model.encode(input_list, convert_to_numpy=True, normalize_embeddings=True, show_progress_bar=False, batch_size=batch_size)
+

recipes/text_embeddings/requirements.txt

@@ -0,0 +1 @@
+sentence-transformers

setup.py

@@ -18,10 +18,10 @@
 EMAIL = "[email protected]"
 AUTHOR = "BEDAPUDI PRANEETH"
 REQUIRES_PYTHON = ">=3.6.0"
-VERSION = "3.0.18"
+VERSION = "3.0.19"
 
 # What packages are required for this module to be executed?
-REQUIRED = ["falcon", "liteindex", "zstandard", "gunicorn[gevent]", "msgpack"]
+REQUIRED = ["falcon", "liteindex==0.0.3.2.dev4", "zstandard", "gunicorn[gevent]", "msgpack"]
 
 # What packages are optional?
 EXTRAS = {