new version: fixing spacy warning on version check.

This addresses #11 #8 #5. SpaCy wants the version specification to match the major.minor.

Also added docker example

.vscode/settings.json

@@ -1,3 +1,3 @@
 {
-    "python.pythonPath": "venv/bin/python3.7"
+    "python.pythonPath": "venv/bin/python"
 }

README.md

@@ -23,10 +23,10 @@ Or you can install the following pre-packaged models with pip:
 
 | model name | source | pip package |
 |------------|--------|---|
-| en_use_md  | https://tfhub.dev/google/universal-sentence-encoder | `pip install https://github.com/MartinoMensio/spacy-universal-sentence-encoder/releases/download/v0.3.2/en_use_md-0.3.2.tar.gz#en_use_md-0.3.2` |
-| en_use_lg  | https://tfhub.dev/google/universal-sentence-encoder-large | `pip install https://github.com/MartinoMensio/spacy-universal-sentence-encoder/releases/download/v0.3.2/en_use_lg-0.3.2.tar.gz#en_use_lg-0.3.2` |
-| xx_use_md  | https://tfhub.dev/google/universal-sentence-encoder-multilingual | `pip install https://github.com/MartinoMensio/spacy-universal-sentence-encoder/releases/download/v0.3.2/xx_use_md-0.3.2.tar.gz#xx_use_md-0.3.2` |
-| xx_use_lg  | https://tfhub.dev/google/universal-sentence-encoder-multilingual-large | `pip install https://github.com/MartinoMensio/spacy-universal-sentence-encoder/releases/download/v0.3.2/xx_use_lg-0.3.2.tar.gz#xx_use_lg-0.3.2` |
+| en_use_md  | https://tfhub.dev/google/universal-sentence-encoder | `pip install https://github.com/MartinoMensio/spacy-universal-sentence-encoder/releases/download/v0.3.3/en_use_md-0.3.3.tar.gz#en_use_md-0.3.3` |
+| en_use_lg  | https://tfhub.dev/google/universal-sentence-encoder-large | `pip install https://github.com/MartinoMensio/spacy-universal-sentence-encoder/releases/download/v0.3.3/en_use_lg-0.3.3.tar.gz#en_use_lg-0.3.3` |
+| xx_use_md  | https://tfhub.dev/google/universal-sentence-encoder-multilingual | `pip install https://github.com/MartinoMensio/spacy-universal-sentence-encoder/releases/download/v0.3.3/xx_use_md-0.3.3.tar.gz#xx_use_md-0.3.3` |
+| xx_use_lg  | https://tfhub.dev/google/universal-sentence-encoder-multilingual-large | `pip install https://github.com/MartinoMensio/spacy-universal-sentence-encoder/releases/download/v0.3.3/xx_use_lg-0.3.3.tar.gz#xx_use_lg-0.3.3` |
 
 
 ## Usage
@@ -117,11 +117,16 @@ The solutions are:
 
 To build and upload
 ```bash
-VERSION=0.3.2
+# change version
+VERSION=0.3.3
+# change version references everywhere
+# update locally installed package
+pip install -r requirements.txt
 # build the standalone models (17)
 ./build_models.sh
 # build the archive at dist/spacy_universal_sentence_encoder-${VERSION}.tar.gz
 python setup.py sdist
 # upload to pypi
 twine upload dist/spacy_universal_sentence_encoder-${VERSION}.tar.gz
+# upload language packages to github
 ```

build_models.sh

@@ -1,6 +1,6 @@
 set -e
 
-VERSION=0.3.2
+VERSION=0.3.3
 
 # for every model
 for MODEL_NAME in en_use_md en_use_lg xx_use_md xx_use_lg

docker/Dockerfile

@@ -0,0 +1,5 @@
+from python
+
+RUN pip install https://github.com/MartinoMensio/spacy-universal-sentence-encoder/releases/download/v0.3.3/en_use_lg-0.3.3.tar.gz#en_use_lg-0.3.3
+
+CMD bash

docker/README.md

@@ -0,0 +1,15 @@
+# Docker instructions
+
+## Build the image
+```bash
+docker build -t use .
+```
+
+## Create the container
+
+You can use pre-downloaded models from [TFHub](https://tfhub.dev/google/collections/universal-sentence-encoder/1) by using volume mapping.
+If you want to do so, at the same time you need to provide the environment variable `TFHUB_CACHE_DIR` which will be used by the library to find the downloaded models.
+
+```bash
+docker run -it --rm -v `pwd`/models/universal_sentence_encoder:/SOME_SIMPLE_PATH_HERE -e TFHUB_CACHE_DIR=/SOME_SIMPLE_PATH_HERE --entrypoint /bin/bash nlp
+```

setup.cfg

@@ -1,5 +1,5 @@
 [metadata]
-version = 0.3.2
+version = 0.3.3
 description = SpaCy models for using Universal Sentence Encoder from TensorFlow Hub
 description-file = README.md
 url = https://github.com/MartinoMensio/spacy-universal-sentence-encoder

spacy_universal_sentence_encoder/meta/en_use_lg.json

@@ -1,15 +1,15 @@
 {
     "lang": "en",
     "name": "use_lg",
-    "version": "0.3.2",
-    "spacy_version": ">=2.1,<2.4",
+    "version": "0.3.3",
+    "spacy_version": ">=2.3,<2.4",
     "description": "TensorFlow Hub wrapper for Universal Sentence Encoder",
     "author": "Martino Mensio",
     "email": "[email protected]",
     "url": "https://github.com/MartinoMensio/spacy-universal-sentence-encoder",
     "license": "MIT",
     "requirements": [
-        "spacy_universal_sentence_encoder==0.3.2"
+        "spacy_universal_sentence_encoder==0.3.3"
     ],
     "sources": [{
         "name": "Universal Sentence Encoder - Large",

spacy_universal_sentence_encoder/meta/en_use_md.json

@@ -1,15 +1,15 @@
 {
     "lang": "en",
     "name": "use_md",
-    "version": "0.3.2",
-    "spacy_version": ">=2.1,<2.4",
+    "version": "0.3.3",
+    "spacy_version": ">=2.3,<2.4",
     "description": "TensorFlow Hub wrapper for Universal Sentence Encoder",
     "author": "Martino Mensio",
     "email": "[email protected]",
     "url": "https://github.com/MartinoMensio/spacy-universal-sentence-encoder",
     "license": "MIT",
     "requirements": [
-        "spacy_universal_sentence_encoder==0.3.2"
+        "spacy_universal_sentence_encoder==0.3.3"
     ],
     "sources": [{
         "name": "Universal Sentence Encoder",

spacy_universal_sentence_encoder/meta/xx_use_lg.json

@@ -1,15 +1,15 @@
 {
     "lang": "xx",
     "name": "use_lg",
-    "version": "0.3.2",
-    "spacy_version": ">=2.1,<2.4",
+    "version": "0.3.3",
+    "spacy_version": ">=2.3,<2.4",
     "description": "TensorFlow Hub wrapper for Universal Sentence Encoder",
     "author": "Martino Mensio",
     "email": "[email protected]",
     "url": "https://github.com/MartinoMensio/spacy-universal-sentence-encoder",
     "license": "MIT",
     "requirements": [
-        "spacy_universal_sentence_encoder==0.3.2"
+        "spacy_universal_sentence_encoder==0.3.3"
     ],
     "sources": [{
         "name": "Universal Sentence Encoder Multilingual - Large",

spacy_universal_sentence_encoder/meta/xx_use_md.json

@@ -1,15 +1,15 @@
 {
     "lang": "xx",
     "name": "use_md",
-    "version": "0.3.2",
-    "spacy_version": ">=2.1,<2.4",
+    "version": "0.3.3",
+    "spacy_version": ">=2.3,<2.4",
     "description": "TensorFlow Hub wrapper for Universal Sentence Encoder",
     "author": "Martino Mensio",
     "email": "[email protected]",
     "url": "https://github.com/MartinoMensio/spacy-universal-sentence-encoder",
     "license": "MIT",
     "requirements": [
-        "spacy_universal_sentence_encoder==0.3.2"
+        "spacy_universal_sentence_encoder==0.3.3"
     ],
     "sources": [{
         "name": "Universal Sentence Encoder Multilingual",