update

.gitignore

@@ -1 +1,4 @@
 **/*.sw*
+/tabtab
+/gpt2-large
+/models

download.py

@@ -0,0 +1,28 @@
+import os
+import sys
+import requests
+from tqdm import tqdm
+
+if len(sys.argv) != 2:
+    print('You must enter the model name as a parameter, e.g.: download_model.py 124M')
+    sys.exit(1)
+
+model = sys.argv[1]
+
+subdir = os.path.join('models', model)
+if not os.path.exists(subdir):
+    os.makedirs(subdir)
+subdir = subdir.replace('\\','/') # needed for Windows
+
+for filename in ['checkpoint','encoder.json','hparams.json','model.ckpt.data-00000-of-00001', 'model.ckpt.index', 'model.ckpt.meta', 'vocab.bpe']:
+
+    r = requests.get("https://openaipublic.blob.core.windows.net/gpt-2/" + subdir + "/" + filename, stream=True)
+
+    with open(os.path.join(subdir, filename), 'wb') as f:
+        file_size = int(r.headers["content-length"])
+        chunk_size = 1000
+        with tqdm(ncols=100, desc="Fetching " + filename, total=file_size, unit_scale=True) as pbar:
+            # 1k for chunk_size, since Ethernet packet size is around 1500 bytes
+            for chunk in r.iter_content(chunk_size=chunk_size):
+                f.write(chunk)
+                pbar.update(chunk_size)

run.sh

@@ -0,0 +1,47 @@
+#! /bin/bash
+
+set -e
+set -o pipefail
+
+if ! grep tabtab .gitignore; then
+   echo >> .gitignore
+   echo tabtab >> .gitignore
+fi
+
+image_ui=bel/tabtab:ui-$(date +%Y%m%d)
+if ! docker images | grep ${image_ui##*:}; then
+   if ! [ -d ./tabtab ]; then
+      git clone https://github.com/ainize-team/tabtab.git
+   fi
+   pushd tabtab
+   cp ../tabtab.requirements.txt ./requirements.txt
+   docker build -t $image_ui .
+   popd
+fi
+
+if ! [ -d ./models ]; then
+   mkdir ./models
+   python3 -c 'from tqdm import tqdm' &> /dev/null || pip3 install tqdm
+   python3 ./download.py 124M
+fi
+
+image_server=${image_ui//:ui/:server}
+if ! docker images | grep ${image_server##*:}; then
+   if ! [ -d ./gpt2-large ]; then
+      git clone https://github.com/Henriquepheak/gpt2-large.git
+   fi
+   pushd ./gpt2-large
+   docker build -t $image_server .
+   popd
+fi
+
+cleanup() {
+   docker rm -f $(docker ps -aq)
+}
+trap cleanup EXIT
+
+localhost=$(ifconfig  | grep -o '192.168[^ ]*' | head -n 1)
+docker run -p 12313:80 --rm -d --name tabtab-server                                            $image_server
+docker run -p 12314:80 --rm -d --name tabtab-ui     -e GPT2_SERVER_URL=http://$localhost:12313 $image_ui
+
+docker logs -f $image_ui

tabtab.requirements.txt

@@ -0,0 +1,5 @@
+Flask==1.1.4
+requests==2.24.0
+transformers
+#Jinja2==3.0.3
+markupsafe==2.0.1