Website update and fixes

JohnSnowLabs · Nov 17, 2017 · 20efe4a · 20efe4a
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diff --git a/docs/components.html b/docs/components.html
@@ -110,10 +110,10 @@ <h4 id="DocumentAssembler" class="section-block"> 1. DocumentAssembler: Getting
                                                 which may be used by annotators down the road
                                                 <br><b>Example:</b><br>
                                             </p>
-                                            <pre><code class="language-python">import
-com.johnsnowlabs.nlp._import
-com.johnsnowlabs.nlp.annotators._import
-org.apache.spark.ml.Pipelineval
+                                            <pre><code class="language-python">from sparknlp.annotator import *
+from sparknlp.common import *
+from sparknlp.base import *
+from pyspark.ml import Pipeline
 documentAssembler = new DocumentAssembler() \
 .setInputCol("text") \
 .setOutputCol("document")</code></pre>
@@ -146,10 +146,9 @@ <h4 id="DocumentAssembler" class="section-block"> 1. DocumentAssembler: Getting
                                                 which may be used by annotators down the road
                                                 <br><b>Example:</b><br>
                                             </p>
-                                            <pre><code class="language-python">import
-com.johnsnowlabs.nlp._import
-com.johnsnowlabs.nlp.annotators._import
-org.apache.spark.ml.Pipelineval
+                                            <pre><code class="language-python">import com.johnsnowlabs.nlp._
+import com.johnsnowlabs.nlp.annotators._
+import org.apache.spark.ml.Pipeline
 documentAssembler = new DocumentAssembler()
 .setInputCol("text")
 .setOutputCol("document")</code></pre>

diff --git a/docs/quickstart.html b/docs/quickstart.html
@@ -92,22 +92,20 @@ <h2 class="section-title">Requirements</h2>
                                     get started with Spark.
                                 </p>
                                 <p>
-                                    We are working on updating this page since we published the library on public
-                                    repos to make it easier to use and with spark-packages. This will allow to use pyspark library as well.
-                                    Stay tuned for updates in this section.
+                                    To use the most recent version just add the --packages JohnSnowLabs:spark-nlp:1.0.0 to you spark command
+                                    <div>spark-shell --packages JohnSnowLabs:spark-nlp:1.2.3</div>
+                                    <div>pyspark --packages JohnSnowLabs:spark-nlp:1.2.3</div>
+                                    <div>spark-submit --packages JohnSnowLabs:spark-nlp:1.2.3</div>
                                 </p>
                                 <p>
-                                    You can follow up-to-date instructions in our README page in <a href="https://github.com/JohnSnowLabs/spark-nlp">GitHub</a>.
                                     Another way is including downloadable snapshot jar in spark classpath,
                                     which can be downloaded
                                     <a href="http://repo1.maven.org/maven2/com/johnsnowlabs/nlp/spark-nlp_2.11/1.2.3/spark-nlp_2.11-1.2.3.jar">here</a>
                                     then, run spark-shell or spark-submit with <b>--jars
                                     /path/to/spark-nlp.jar</b> to use the library in scala spark.
                                 </p>
                                 <p>
-                                    To use pyspark now, you may have to clone the repo, and stand inside the python
-                                    folder to make sparknlp module avaiable, while also adding the jar to pyspark with
-                                    --jars as above
+                                    For further alternatives and documentation check out our README page in <a href="https://github.com/JohnSnowLabs/spark-nlp">GitHub</a>.
                                 </p>
                             </div>
                         </section>