update download stuff

download_model.py

@@ -1,24 +1,27 @@
-#!/usr/bin/env python
 import os
 import sys
 import requests
 from tqdm import tqdm
 
-if len(sys.argv)!=2:
+if len(sys.argv) != 2:
     print('You must enter the model name as a parameter, e.g.: download_model.py 117M')
     sys.exit(1)
+
 model = sys.argv[1]
-#Create directory if it does not exist already, then do nothing
-if not os.path.exists('models/'+model):
-    os.makedirs('models/'+model)
-#download all the files
+
+subdir = os.path.join('models', model)
+if not os.path.exists(subdir):
+    os.makedirs(subdir)
+
 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://storage.googleapis.com/gpt-2/models/"+model+"/"+filename,stream=True)
-    #wb flag required for windows
-    with open('models/'+model+'/'+filename,'wb') as currentFile:
-        fileSize = int(r.headers["content-length"])
-        with tqdm(ncols=100,desc="Fetching "+filename,total=fileSize,unit_scale=True) as pbar:
-            #went for 1k for chunk_size. Motivation -> Ethernet packet size is around 1500 bytes.
-            for chunk in r.iter_content(chunk_size=1000):
-                currentFile.write(chunk)
-                pbar.update(1000)
+
+    r = requests.get("https://storage.googleapis.com/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)