chore: ready for 1.0.4 released

Author: limcheekin

CHANGELOG.md

@@ -7,6 +7,13 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## [Unreleased]
 
+## [1.0.4] - 2024-02-09
+
+- feat: Added dimensions to request parameter of the embeddings endpoint.
+- fix: Changed langchain imports to langchain_community.
+- fix: GZipRequestMiddleware caused request error in fastapi 0.109.2.
+- doc: Updated readme for download model step and fix open-in-colab badge.
+
 ## [1.0.3] - 2023-11-13
 
 - [jayxuz](https://github.com/jayxuz) contributed [#5](https://github.com/limcheekin/open-text-embeddings/pull/5): improved OpenAI API compatibility, better support for previous versions of Python (start from v3.7), better defaults and bug fixes.

RELEASE.md

@@ -1,4 +1,4 @@
-- [jayxuz](https://github.com/jayxuz) contributed [#5](https://github.com/limcheekin/open-text-embeddings/pull/5): improved OpenAI API compatibility, better support for previous versions of Python (start from v3.7), better defaults and bug fixes.
-- Normalize embeddings enabled by default.
-- Added `VERBOSE` environment variable to support verbose logging, disabled by default.
-- Support `openai` package version >= 1.0.0.
+- feat: Added dimensions to request parameter of the embeddings endpoint.
+- fix: Changed langchain imports to langchain_community.
+- fix: GZipRequestMiddleware caused request error in fastapi 0.109.2.
+- doc: Updated readme for download model step and fix open-in-colab badge.

open/text/embeddings/server/app.py

@@ -27,7 +27,7 @@ def create_app():
     initialize_embeddings()
     app = FastAPI(
         title="Open Text Embeddings API",
-        version="1.0.2",
+        version="1.0.4",
     )
     app.add_middleware(
         CORSMiddleware,

setup.py

@@ -11,7 +11,7 @@
     description="Open Source Text Embedding Models with OpenAI API-Compatible Endpoint",
     long_description=long_description,
     long_description_content_type="text/markdown",
-    version="1.0.3",
+    version="1.0.4",
     author="Lim Chee Kin",
     author_email="[email protected]",
     license="MIT",