type input in the pin manipulate

2 years ago · c8215306ed
2 changed files with 118 additions and 214 deletions
--- a/.ipynb_checkpoints/a_tune_in-checkpoint.ipynb
+++ b/.ipynb_checkpoints/a_tune_in-checkpoint.ipynb
@ -14,7 +14,7 @@
    "\n",
    "## Pincelate\n",
    "\n",
-    "[Pincelate](https://pypi.org/project/pincelate/) is a machine learning model for spelling English words and sounding them out developed by artist [Allison Parrish](https://www.decontextualize.com/). It relies on particular versions of the Google-funded pre-trained machine learning models in [Tensorflow](https://www.tensorflow.org/) and the deep-learning API [Keras](https://keras.io/).\n",
+    "[Pincelate](https://pypi.org/project/pincelate/) is a machine learning model for spelling English words and sounding them out developed by artist [Allison Parrish](https://www.decontextualize.com/). It relies on particular versions of the Google-funded pre-trained machine learning models in [Tensorflow](https://www.tensorflow.org/) and the deep-learning API [Keras](https://keras.io/). If you are interested to see more ways to work with Pincelate, Parrish created a series of tutorials: [https://github.com/aparrish/nonsense-verse-pycon-2020](https://github.com/aparrish/nonsense-verse-pycon-2020).\n",
    "\n",
    "\n",
    "### Installing Pincelate"
@ -22,7 +22,7 @@
  },
  {
   "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 3,
   "id": "ranking-bottom",
   "metadata": {
    "scrolled": false
@ -33,92 +33,53 @@
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: tensorflow==1.15.5 in ./pocket/lib/python3.6/site-packages (1.15.5)\n",
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+      "Requirement already satisfied: keras-applications>=1.0.8 in ./pocket/lib/python3.6/site-packages (from keras==2.2.5) (1.0.8)\n",
      "Requirement already satisfied: pincelate in ./pocket/lib/python3.6/site-packages (0.0.1)\n",
+      "Requirement already satisfied: scikit-learn>=0.20.0 in ./pocket/lib/python3.6/site-packages (from pincelate) (0.24.2)\n",
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      "Requirement already satisfied: pronouncing>=0.2.0 in ./pocket/lib/python3.6/site-packages (from pincelate) (0.2.0)\n",
-      "Requirement already satisfied: scikit-learn>=0.20.0 in ./pocket/lib/python3.6/site-packages (from pincelate) (0.24.2)\n",
+      "Requirement already satisfied: six>=1.9.0 in ./pocket/lib/python3.6/site-packages (from Keras>=2.2.0->pincelate) (1.16.0)\n",
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-      "Requirement already satisfied: pyyaml in ./pocket/lib/python3.6/site-packages (from Keras>=2.2.0->pincelate) (6.0)\n",
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+      "Requirement already satisfied: pyyaml in ./pocket/lib/python3.6/site-packages (from Keras>=2.2.0->pincelate) (6.0)\n",
+      "Requirement already satisfied: scipy>=0.14 in ./pocket/lib/python3.6/site-packages (from Keras>=2.2.0->pincelate) (1.5.4)\n",
+      "Requirement already satisfied: numpy>=1.9.1 in ./pocket/lib/python3.6/site-packages (from Keras>=2.2.0->pincelate) (1.18.5)\n",
      "Requirement already satisfied: cmudict>=0.4.0 in ./pocket/lib/python3.6/site-packages (from pronouncing>=0.2.0->pincelate) (1.0.2)\n",
      "Requirement already satisfied: joblib>=0.11 in ./pocket/lib/python3.6/site-packages (from scikit-learn>=0.20.0->pincelate) (1.1.1)\n",
      "Requirement already satisfied: threadpoolctl>=2.0.0 in ./pocket/lib/python3.6/site-packages (from scikit-learn>=0.20.0->pincelate) (3.1.0)\n"
     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Using TensorFlow backend.\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "WARNING:tensorflow:From /home/angeliki/Documents/Any_One_day_future/A_tune_in/pocket/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:541: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.\n",
-      "\n",
-      "WARNING:tensorflow:From /home/angeliki/Documents/Any_One_day_future/A_tune_in/pocket/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:66: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead.\n",
-      "\n",
-      "WARNING:tensorflow:From /home/angeliki/Documents/Any_One_day_future/A_tune_in/pocket/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:4432: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead.\n",
-      "\n",
-      "WARNING:tensorflow:From /home/angeliki/Documents/Any_One_day_future/A_tune_in/pocket/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:148: The name tf.placeholder_with_default is deprecated. Please use tf.compat.v1.placeholder_with_default instead.\n",
-      "\n",
-      "WARNING:tensorflow:From /home/angeliki/Documents/Any_One_day_future/A_tune_in/pocket/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:3733: calling dropout (from tensorflow.python.ops.nn_ops) with keep_prob is deprecated and will be removed in a future version.\n",
-      "Instructions for updating:\n",
-      "Please use `rate` instead of `keep_prob`. Rate should be set to `rate = 1 - keep_prob`.\n",
-      "WARNING:tensorflow:From /home/angeliki/Documents/Any_One_day_future/A_tune_in/pocket/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:3239: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.\n",
-      "Instructions for updating:\n",
-      "Use tf.where in 2.0, which has the same broadcast rule as np.where\n",
-      "WARNING:tensorflow:From /home/angeliki/Documents/Any_One_day_future/A_tune_in/pocket/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:190: The name tf.get_default_session is deprecated. Please use tf.compat.v1.get_default_session instead.\n",
-      "\n",
-      "WARNING:tensorflow:From /home/angeliki/Documents/Any_One_day_future/A_tune_in/pocket/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:197: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.\n",
-      "\n",
-      "WARNING:tensorflow:From /home/angeliki/Documents/Any_One_day_future/A_tune_in/pocket/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:203: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.\n",
-      "\n",
-      "WARNING:tensorflow:From /home/angeliki/Documents/Any_One_day_future/A_tune_in/pocket/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:207: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead.\n",
-      "\n",
-      "WARNING:tensorflow:From /home/angeliki/Documents/Any_One_day_future/A_tune_in/pocket/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:216: The name tf.is_variable_initialized is deprecated. Please use tf.compat.v1.is_variable_initialized instead.\n",
-      "\n",
-      "WARNING:tensorflow:From /home/angeliki/Documents/Any_One_day_future/A_tune_in/pocket/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:223: The name tf.variables_initializer is deprecated. Please use tf.compat.v1.variables_initializer instead.\n",
-      "\n"
-     ]
    }
   ],
   "source": [
@ -138,6 +99,8 @@
   "id": "9f1e2cc7",
   "metadata": {},
   "source": [
+    "### Respelling\n",
+    "\n",
    "This is how Parrish describes the *manipulate* function of Pincelate: \"Pincelate actually consists of two models: one that knows how to sound out words based on how they're spelled, and another that knows how to spell words from sounds.\"\n",
    "\n",
    "With this function, words are passing through the two models, taking words, sounding them out from their spelling and then bringing them back into writing via phonemes. As a way to situate ourselves into the conference, we propose to take the conference titles as material to reshape, contort, or respell. \n",
@ -175,46 +138,48 @@
  },
  {
   "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 4,
   "id": "muslim-labor",
   "metadata": {},
   "outputs": [
    {
-     "data": {
-      "text/plain": [
-       "'arcsvtinex'"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "what is your word? Archives\n",
+      "temperature value? 2\n"
+     ]
+    },
+    {
+     "ename": "TypeError",
+     "evalue": "ufunc 'true_divide' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-4-811e22a18341>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0mwor\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0minput\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'what is your word? '\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0mtemp\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0minput\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'temperature value? '\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mpin\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmanipulate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mwor\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlower\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mtemperature\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtemp\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;32m~/Documents/Any_One_day_future/A_tune_in/pocket/lib/python3.6/site-packages/pincelate/__init__.py\u001b[0m in \u001b[0;36mmanipulate\u001b[0;34m(self, s, letters, features, temperature)\u001b[0m\n\u001b[1;32m    444\u001b[0m         )\n\u001b[1;32m    445\u001b[0m         orth_seq = [self.phon2orth.to_target_vocab(item, 1)[0][0]\n\u001b[0;32m--> 446\u001b[0;31m                     for item in orth_decoding]\n\u001b[0m\u001b[1;32m    447\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    448\u001b[0m         \u001b[0;31m# trim start/end tokens\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/Documents/Any_One_day_future/A_tune_in/pocket/lib/python3.6/site-packages/pincelate/__init__.py\u001b[0m in \u001b[0;36m<listcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m    443\u001b[0m                 x ** np.exp(orth_exps), temperature)\n\u001b[1;32m    444\u001b[0m         )\n\u001b[0;32m--> 445\u001b[0;31m         orth_seq = [self.phon2orth.to_target_vocab(item, 1)[0][0]\n\u001b[0m\u001b[1;32m    446\u001b[0m                     for item in orth_decoding]\n\u001b[1;32m    447\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/Documents/Any_One_day_future/A_tune_in/pocket/lib/python3.6/site-packages/pincelate/seq2seq.py\u001b[0m in \u001b[0;36mdecode_sequence\u001b[0;34m(self, state_value, target_seq, transform, maxlen)\u001b[0m\n\u001b[1;32m    234\u001b[0m         \"\"\"\n\u001b[1;32m    235\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 236\u001b[0;31m         \u001b[0;32myield\u001b[0m \u001b[0mtransform\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtarget_seq\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    237\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmaxlen\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    238\u001b[0m             output, h = self.infer_decoder_model.predict(\n",
+      "\u001b[0;32m~/Documents/Any_One_day_future/A_tune_in/pocket/lib/python3.6/site-packages/pincelate/__init__.py\u001b[0m in \u001b[0;36m<lambda>\u001b[0;34m(x)\u001b[0m\n\u001b[1;32m    441\u001b[0m             \u001b[0;31m# orthography inference manipulation\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    442\u001b[0m             transform=lambda x: softmax_temperature(\n\u001b[0;32m--> 443\u001b[0;31m                 x ** np.exp(orth_exps), temperature)\n\u001b[0m\u001b[1;32m    444\u001b[0m         )\n\u001b[1;32m    445\u001b[0m         orth_seq = [self.phon2orth.to_target_vocab(item, 1)[0][0]\n",
+      "\u001b[0;32m~/Documents/Any_One_day_future/A_tune_in/pocket/lib/python3.6/site-packages/pincelate/seq2seq.py\u001b[0m in \u001b[0;36msoftmax_temperature\u001b[0;34m(t, temp)\u001b[0m\n\u001b[1;32m    301\u001b[0m     \u001b[0mzeros\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mzeros\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    302\u001b[0m     \u001b[0mdist\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mt\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfloat64\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;36m0.0001\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 303\u001b[0;31m     \u001b[0mpred\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlog\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdist\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0mtemp\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    304\u001b[0m     \u001b[0mexp_pred\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexp\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpred\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    305\u001b[0m     \u001b[0mpred\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mexp_pred\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msum\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mexp_pred\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mTypeError\u001b[0m: ufunc 'true_divide' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''"
+     ]
    }
   ],
   "source": [
-    "pin.manipulate(\"archives\",temperature=2)"
+    "wor = input('what is your word? ')\n",
+    "temp = input('temperature value? ')\n",
+    "\n",
+    "pin.manipulate(wor.lower(),temperature = int(temp))"
   ]
  },
  {
   "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
   "id": "b648b5ae",
   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "52dbe8b1e0bb4ea9b0276e6902fce2b8",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "interactive(children=(Text(value='any one future died', description='s'), FloatSlider(value=1.2500000000000002…"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
   "source": [
    "@interact(s=\"any one future died\",temp=(0.05,2.5,0.05))\n",
    "def tempadjust(s,temp):\n",
@ -247,7 +212,7 @@
  },
  {
   "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 4,
   "id": "2e25f0db",
   "metadata": {},
   "outputs": [],
@ -261,7 +226,7 @@
  },
  {
   "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 5,
   "id": "189c5b06",
   "metadata": {},
   "outputs": [],
@ -298,28 +263,15 @@
    "\tfor word in dictionary:\n",
    "\t\tif word in new_sentence:\n",
    "\t\t\tnew_sentence = new_sentence.replace(word, random.choice(dictionary[word]['paradoxes']))\n",
-    "\tprint(new_sentence)\n",
-    "\n"
+    "\tprint(new_sentence)"
   ]
  },
  {
   "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
   "id": "b1dde66a",
   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "what are your words? fdkhggfe futures\n",
-      "choose replacing method between \"paranyms\",\"parameanings\",\"paradoxes\",\"all\": all\n",
-      "fdkhggfe \n",
-      "fdkhggfe \n",
-      "fdkhggfe \n"
-     ]
-    }
-   ],
+   "outputs": [],
   "source": [
    "\n",
    "sentence = input('what are your words? ')\n",
--- a/a_tune_in.ipynb
+++ b/a_tune_in.ipynb
@ -14,7 +14,7 @@
    "\n",
    "## Pincelate\n",
    "\n",
-    "[Pincelate](https://pypi.org/project/pincelate/) is a machine learning model for spelling English words and sounding them out developed by artist [Allison Parrish](https://www.decontextualize.com/). It relies on particular versions of the Google-funded pre-trained machine learning models in [Tensorflow](https://www.tensorflow.org/) and the deep-learning API [Keras](https://keras.io/).\n",
+    "[Pincelate](https://pypi.org/project/pincelate/) is a machine learning model for spelling English words and sounding them out developed by artist [Allison Parrish](https://www.decontextualize.com/). It relies on particular versions of the Google-funded pre-trained machine learning models in [Tensorflow](https://www.tensorflow.org/) and the deep-learning API [Keras](https://keras.io/). If you are interested to see more ways to work with Pincelate, Parrish created a series of tutorials: [https://github.com/aparrish/nonsense-verse-pycon-2020](https://github.com/aparrish/nonsense-verse-pycon-2020).\n",
    "\n",
    "\n",
    "### Installing Pincelate"
@ -22,7 +22,7 @@
  },
  {
   "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 3,
   "id": "ranking-bottom",
   "metadata": {
    "scrolled": false
@ -33,92 +33,53 @@
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: tensorflow==1.15.5 in ./pocket/lib/python3.6/site-packages (1.15.5)\n",
-      "Requirement already satisfied: numpy<1.19.0,>=1.16.0 in ./pocket/lib/python3.6/site-packages (from tensorflow==1.15.5) (1.18.5)\n",
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-      "Requirement already satisfied: wrapt>=1.11.1 in ./pocket/lib/python3.6/site-packages (from tensorflow==1.15.5) (1.14.1)\n",
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-      "Requirement already satisfied: six>=1.10.0 in ./pocket/lib/python3.6/site-packages (from tensorflow==1.15.5) (1.16.0)\n",
+      "Requirement already satisfied: opt-einsum>=2.3.2 in ./pocket/lib/python3.6/site-packages (from tensorflow==1.15.5) (3.3.0)\n",
+      "Requirement already satisfied: keras-applications>=1.0.8 in ./pocket/lib/python3.6/site-packages (from tensorflow==1.15.5) (1.0.8)\n",
+      "Requirement already satisfied: tensorboard<1.16.0,>=1.15.0 in ./pocket/lib/python3.6/site-packages (from tensorflow==1.15.5) (1.15.0)\n",
      "Requirement already satisfied: tensorflow-estimator==1.15.1 in ./pocket/lib/python3.6/site-packages (from tensorflow==1.15.5) (1.15.1)\n",
-      "Requirement already satisfied: absl-py>=0.7.0 in ./pocket/lib/python3.6/site-packages (from tensorflow==1.15.5) (1.3.0)\n",
+      "Requirement already satisfied: termcolor>=1.1.0 in ./pocket/lib/python3.6/site-packages (from tensorflow==1.15.5) (1.1.0)\n",
+      "Requirement already satisfied: astor>=0.6.0 in ./pocket/lib/python3.6/site-packages (from tensorflow==1.15.5) (0.8.1)\n",
      "Requirement already satisfied: h5py<=2.10.0 in ./pocket/lib/python3.6/site-packages (from tensorflow==1.15.5) (2.10.0)\n",
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+      "Requirement already satisfied: wrapt>=1.11.1 in ./pocket/lib/python3.6/site-packages (from tensorflow==1.15.5) (1.14.1)\n",
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-      "Requirement already satisfied: astor>=0.6.0 in ./pocket/lib/python3.6/site-packages (from tensorflow==1.15.5) (0.8.1)\n",
+      "Requirement already satisfied: google-pasta>=0.1.6 in ./pocket/lib/python3.6/site-packages (from tensorflow==1.15.5) (0.2.0)\n",
+      "Requirement already satisfied: keras-preprocessing>=1.0.5 in ./pocket/lib/python3.6/site-packages (from tensorflow==1.15.5) (1.1.2)\n",
+      "Requirement already satisfied: wheel>=0.26 in ./pocket/lib/python3.6/site-packages (from tensorflow==1.15.5) (0.37.1)\n",
+      "Requirement already satisfied: absl-py>=0.7.0 in ./pocket/lib/python3.6/site-packages (from tensorflow==1.15.5) (1.3.0)\n",
      "Requirement already satisfied: setuptools>=41.0.0 in ./pocket/lib/python3.6/site-packages (from tensorboard<1.16.0,>=1.15.0->tensorflow==1.15.5) (59.6.0)\n",
-      "Requirement already satisfied: markdown>=2.6.8 in ./pocket/lib/python3.6/site-packages (from tensorboard<1.16.0,>=1.15.0->tensorflow==1.15.5) (3.3.7)\n",
      "Requirement already satisfied: werkzeug>=0.11.15 in ./pocket/lib/python3.6/site-packages (from tensorboard<1.16.0,>=1.15.0->tensorflow==1.15.5) (2.0.3)\n",
+      "Requirement already satisfied: markdown>=2.6.8 in ./pocket/lib/python3.6/site-packages (from tensorboard<1.16.0,>=1.15.0->tensorflow==1.15.5) (3.3.7)\n",
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      "Requirement already satisfied: dataclasses in ./pocket/lib/python3.6/site-packages (from werkzeug>=0.11.15->tensorboard<1.16.0,>=1.15.0->tensorflow==1.15.5) (0.8)\n",
      "Requirement already satisfied: typing-extensions>=3.6.4 in ./pocket/lib/python3.6/site-packages (from importlib-metadata>=4.4->markdown>=2.6.8->tensorboard<1.16.0,>=1.15.0->tensorflow==1.15.5) (4.1.1)\n",
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      "Requirement already satisfied: pyyaml in ./pocket/lib/python3.6/site-packages (from keras==2.2.5) (6.0)\n",
+      "Requirement already satisfied: numpy>=1.9.1 in ./pocket/lib/python3.6/site-packages (from keras==2.2.5) (1.18.5)\n",
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+      "Requirement already satisfied: keras-applications>=1.0.8 in ./pocket/lib/python3.6/site-packages (from keras==2.2.5) (1.0.8)\n",
      "Requirement already satisfied: pincelate in ./pocket/lib/python3.6/site-packages (0.0.1)\n",
+      "Requirement already satisfied: scikit-learn>=0.20.0 in ./pocket/lib/python3.6/site-packages (from pincelate) (0.24.2)\n",
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-      "Requirement already satisfied: scikit-learn>=0.20.0 in ./pocket/lib/python3.6/site-packages (from pincelate) (0.24.2)\n",
+      "Requirement already satisfied: six>=1.9.0 in ./pocket/lib/python3.6/site-packages (from Keras>=2.2.0->pincelate) (1.16.0)\n",
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     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Using TensorFlow backend.\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "WARNING:tensorflow:From /home/angeliki/Documents/Any_One_day_future/A_tune_in/pocket/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:541: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.\n",
-      "\n",
-      "WARNING:tensorflow:From /home/angeliki/Documents/Any_One_day_future/A_tune_in/pocket/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:66: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead.\n",
-      "\n",
-      "WARNING:tensorflow:From /home/angeliki/Documents/Any_One_day_future/A_tune_in/pocket/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:4432: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead.\n",
-      "\n",
-      "WARNING:tensorflow:From /home/angeliki/Documents/Any_One_day_future/A_tune_in/pocket/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:148: The name tf.placeholder_with_default is deprecated. Please use tf.compat.v1.placeholder_with_default instead.\n",
-      "\n",
-      "WARNING:tensorflow:From /home/angeliki/Documents/Any_One_day_future/A_tune_in/pocket/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:3733: calling dropout (from tensorflow.python.ops.nn_ops) with keep_prob is deprecated and will be removed in a future version.\n",
-      "Instructions for updating:\n",
-      "Please use `rate` instead of `keep_prob`. Rate should be set to `rate = 1 - keep_prob`.\n",
-      "WARNING:tensorflow:From /home/angeliki/Documents/Any_One_day_future/A_tune_in/pocket/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:3239: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.\n",
-      "Instructions for updating:\n",
-      "Use tf.where in 2.0, which has the same broadcast rule as np.where\n",
-      "WARNING:tensorflow:From /home/angeliki/Documents/Any_One_day_future/A_tune_in/pocket/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:190: The name tf.get_default_session is deprecated. Please use tf.compat.v1.get_default_session instead.\n",
-      "\n",
-      "WARNING:tensorflow:From /home/angeliki/Documents/Any_One_day_future/A_tune_in/pocket/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:197: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.\n",
-      "\n",
-      "WARNING:tensorflow:From /home/angeliki/Documents/Any_One_day_future/A_tune_in/pocket/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:203: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.\n",
-      "\n",
-      "WARNING:tensorflow:From /home/angeliki/Documents/Any_One_day_future/A_tune_in/pocket/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:207: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead.\n",
-      "\n",
-      "WARNING:tensorflow:From /home/angeliki/Documents/Any_One_day_future/A_tune_in/pocket/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:216: The name tf.is_variable_initialized is deprecated. Please use tf.compat.v1.is_variable_initialized instead.\n",
-      "\n",
-      "WARNING:tensorflow:From /home/angeliki/Documents/Any_One_day_future/A_tune_in/pocket/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:223: The name tf.variables_initializer is deprecated. Please use tf.compat.v1.variables_initializer instead.\n",
-      "\n"
-     ]
    }
   ],
   "source": [
@ -138,6 +99,8 @@
   "id": "9f1e2cc7",
   "metadata": {},
   "source": [
+    "### Respelling\n",
+    "\n",
    "This is how Parrish describes the *manipulate* function of Pincelate: \"Pincelate actually consists of two models: one that knows how to sound out words based on how they're spelled, and another that knows how to spell words from sounds.\"\n",
    "\n",
    "With this function, words are passing through the two models, taking words, sounding them out from their spelling and then bringing them back into writing via phonemes. As a way to situate ourselves into the conference, we propose to take the conference titles as material to reshape, contort, or respell. \n",
@ -175,46 +138,48 @@
  },
  {
   "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 4,
   "id": "muslim-labor",
   "metadata": {},
   "outputs": [
    {
-     "data": {
-      "text/plain": [
-       "'arcsvtinex'"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "what is your word? Archives\n",
+      "temperature value? 2\n"
+     ]
+    },
+    {
+     "ename": "TypeError",
+     "evalue": "ufunc 'true_divide' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-4-811e22a18341>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0mwor\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0minput\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'what is your word? '\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0mtemp\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0minput\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'temperature value? '\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mpin\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmanipulate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mwor\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlower\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mtemperature\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtemp\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;32m~/Documents/Any_One_day_future/A_tune_in/pocket/lib/python3.6/site-packages/pincelate/__init__.py\u001b[0m in \u001b[0;36mmanipulate\u001b[0;34m(self, s, letters, features, temperature)\u001b[0m\n\u001b[1;32m    444\u001b[0m         )\n\u001b[1;32m    445\u001b[0m         orth_seq = [self.phon2orth.to_target_vocab(item, 1)[0][0]\n\u001b[0;32m--> 446\u001b[0;31m                     for item in orth_decoding]\n\u001b[0m\u001b[1;32m    447\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    448\u001b[0m         \u001b[0;31m# trim start/end tokens\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/Documents/Any_One_day_future/A_tune_in/pocket/lib/python3.6/site-packages/pincelate/__init__.py\u001b[0m in \u001b[0;36m<listcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m    443\u001b[0m                 x ** np.exp(orth_exps), temperature)\n\u001b[1;32m    444\u001b[0m         )\n\u001b[0;32m--> 445\u001b[0;31m         orth_seq = [self.phon2orth.to_target_vocab(item, 1)[0][0]\n\u001b[0m\u001b[1;32m    446\u001b[0m                     for item in orth_decoding]\n\u001b[1;32m    447\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/Documents/Any_One_day_future/A_tune_in/pocket/lib/python3.6/site-packages/pincelate/seq2seq.py\u001b[0m in \u001b[0;36mdecode_sequence\u001b[0;34m(self, state_value, target_seq, transform, maxlen)\u001b[0m\n\u001b[1;32m    234\u001b[0m         \"\"\"\n\u001b[1;32m    235\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 236\u001b[0;31m         \u001b[0;32myield\u001b[0m \u001b[0mtransform\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtarget_seq\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    237\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmaxlen\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    238\u001b[0m             output, h = self.infer_decoder_model.predict(\n",
+      "\u001b[0;32m~/Documents/Any_One_day_future/A_tune_in/pocket/lib/python3.6/site-packages/pincelate/__init__.py\u001b[0m in \u001b[0;36m<lambda>\u001b[0;34m(x)\u001b[0m\n\u001b[1;32m    441\u001b[0m             \u001b[0;31m# orthography inference manipulation\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    442\u001b[0m             transform=lambda x: softmax_temperature(\n\u001b[0;32m--> 443\u001b[0;31m                 x ** np.exp(orth_exps), temperature)\n\u001b[0m\u001b[1;32m    444\u001b[0m         )\n\u001b[1;32m    445\u001b[0m         orth_seq = [self.phon2orth.to_target_vocab(item, 1)[0][0]\n",
+      "\u001b[0;32m~/Documents/Any_One_day_future/A_tune_in/pocket/lib/python3.6/site-packages/pincelate/seq2seq.py\u001b[0m in \u001b[0;36msoftmax_temperature\u001b[0;34m(t, temp)\u001b[0m\n\u001b[1;32m    301\u001b[0m     \u001b[0mzeros\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mzeros\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    302\u001b[0m     \u001b[0mdist\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mt\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfloat64\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;36m0.0001\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 303\u001b[0;31m     \u001b[0mpred\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlog\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdist\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0mtemp\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    304\u001b[0m     \u001b[0mexp_pred\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexp\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpred\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    305\u001b[0m     \u001b[0mpred\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mexp_pred\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msum\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mexp_pred\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mTypeError\u001b[0m: ufunc 'true_divide' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''"
+     ]
    }
   ],
   "source": [
-    "pin.manipulate(\"archives\",temperature=2)"
+    "wor = input('what is your word? ')\n",
+    "temp = input('temperature value? ')\n",
+    "\n",
+    "pin.manipulate(wor.lower(),temperature = int(temp))"
   ]
  },
  {
   "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
   "id": "b648b5ae",
   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "52dbe8b1e0bb4ea9b0276e6902fce2b8",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "interactive(children=(Text(value='any one future died', description='s'), FloatSlider(value=1.2500000000000002…"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
   "source": [
    "@interact(s=\"any one future died\",temp=(0.05,2.5,0.05))\n",
    "def tempadjust(s,temp):\n",
@ -247,7 +212,7 @@
  },
  {
   "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 4,
   "id": "2e25f0db",
   "metadata": {},
   "outputs": [],
@ -261,7 +226,7 @@
  },
  {
   "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 5,
   "id": "189c5b06",
   "metadata": {},
   "outputs": [],
@ -298,28 +263,15 @@
    "\tfor word in dictionary:\n",
    "\t\tif word in new_sentence:\n",
    "\t\t\tnew_sentence = new_sentence.replace(word, random.choice(dictionary[word]['paradoxes']))\n",
-    "\tprint(new_sentence)\n",
-    "\n"
+    "\tprint(new_sentence)"
   ]
  },
  {
   "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
   "id": "b1dde66a",
   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "what are your words? fdkhggfe futures\n",
-      "choose replacing method between \"paranyms\",\"parameanings\",\"paradoxes\",\"all\": all\n",
-      "fdkhggfe \n",
-      "fdkhggfe \n",
-      "fdkhggfe \n"
-     ]
-    }
-   ],
+   "outputs": [],
   "source": [
    "\n",
    "sentence = input('what are your words? ')\n",