Upload fusion_t2i_CLIP_interrogator.ipynb

Google Colab Notebooks/fusion_t2i_CLIP_interrogator.ipynb

@@ -52,7 +52,7 @@
         "  for symbol in ['^']:\n",
         "    result = result.replace(symbol,'')\n",
         "  #------#\n",
-        "  result = result.replace('\\\\|','|')\n",
+        "  result = result.replace('\\\\|','|').replace('  |',' |')\n",
         "  return result;\n",
         "\n",
         "\n",
@@ -429,9 +429,9 @@
         "newline_Separator = False # param {type:\"boolean\"}\n",
         "\n",
         "import random\n",
-        "list_size2 = 1000 # param {type:'number'}\n",
-        "start_at_index2 = 10000 # param {type:'number'}\n",
-        "rate_percent  = 0 # param {type:\"slider\", min:0, max:100, step:1}\n",
+        "list_size2 = 0 # param {type:'number'}\n",
+        "start_at_index2 = NUM_VOCAB_ITEMS # param {type:'number'}\n",
+        "rate_percent  = -1 # param {type:\"slider\", min:0, max:100, step:1}\n",
         "\n",
         "# @markdown Repeat output N times\n",
         "N = 7 # @param {type:\"slider\", min:0, max:10, step:1}\n",
@@ -537,7 +537,7 @@
         "\n",
         "  # title Show the 100 most similiar suffix and prefix text-encodings to the text encoding\n",
         "  RANGE = list_size\n",
-        "  separator = '|'\n",
+        "  separator = ' |'\n",
         "  if newline_Separator : separator = separator + '\\n'\n",
         "\n",
         "  _prompts = ''\n",