diff --git a/docker/Dockerfile b/docker/Dockerfile
index d858624..e8016c0 100644
--- a/docker/Dockerfile
+++ b/docker/Dockerfile
@@ -24,13 +24,18 @@ COPY arelight /arelight
 RUN ls -la
 RUN pip install /arelight/. -r /arelight/dependencies.txt
 
+# Download DeepPavlov resources in advance.
+COPY deeppavlov_data.sh /deeppavlov_data.sh
+RUN chmod +x deeppavlov_data.sh
+RUN /deeppavlov_data.sh
+
 # Download required resources.
 RUN python /arelight/download.py
 
 EXPOSE 80
 
 # Setup apache configs.
-RUN apt-get clean && apt-get update && apt-get install -y apache2 python
+RUN apt-get clean && apt-get update && apt-get install -y apache2 python unzip
 RUN a2enmod cgi
 RUN echo export PATH=/root/.pyenv/shims:/root/.pyenv/bin:$PATH >> /etc/apache2/envvars
 
diff --git a/docker/deeppavlov_data.sh b/docker/deeppavlov_data.sh
new file mode 100644
index 0000000..ed8e996
--- /dev/null
+++ b/docker/deeppavlov_data.sh
@@ -0,0 +1,26 @@
+# This is required since DeepPavlov downloader might not work.
+
+# Apache server demo dir.
+demo_dir="/var/www/demo/"
+
+# Assigning remote URLs.
+ner_model_url="http://files.deeppavlov.ai/deeppavlov_data/ner_ontonotes_bert_mult_v1.tar.gz"
+bert_model_url="http://files.deeppavlov.ai/deeppavlov_data/bert/multi_cased_L-12_H-768_A-12.zip"
+
+# Donwload models.
+wget $(ner_model_url)
+wget $(bert_model_url)
+
+# Unpacking models.
+tar -xvf ner_ontonotes_bert_mult_v1.tar.gz
+unzip multi_cased_L-12_H-768_A-12.zip
+rm ner_ontonotes_bert_mult_v1
+rm multi_cased_L-12_H-768_A-12
+
+# Prepare target folders.
+mkdir -p "$(demo_dir).deeppavlov/models/"
+mkdir -p "$(demo_dir).deeppavlov/downloads/bert_models/"
+
+# Moving models.
+mv "ner_ontonotes_bert_mult_v1" "$(demo_dir).deeppavlov/models/"
+mv "multi_cased_L-12_H-768_A-12" "$(demo_dir).deeppavlov/downloads/bert_models/"
diff --git a/examples/demo/wui.py b/examples/demo/wui.py
index 4531d03..b681f4e 100644
--- a/examples/demo/wui.py
+++ b/examples/demo/wui.py
@@ -44,7 +44,7 @@ def prepare_template(data, text, bratUrl):
     cgi_output(template)
     exit(0)
 
-brat_json = demo_infer_texts_bert(text=text,
+brat_json = demo_infer_texts_bert(text=text.strip(),
                                   model_dir="/arelight/data/models",
                                   output_dir=".",
                                   state_name="ra-20-srubert-large-neut-nli-pretrained-3l",