From 4395eb9da0936ac8f6dd1347c94d8141d8518230 Mon Sep 17 00:00:00 2001
From: ArthurTemporim <arthurrtl@gmail.com>
Date: Thu, 1 Nov 2018 11:29:50 -0300
Subject: [PATCH 1/5] Improve intents that aren't in the correct format

Signed-off-by: ArthurTemporim <arthurrtl@gmail.com>
---
 rouana/data/intents/curiosidades.md |   2 +-
 rouana/data/intents/geral.md        |   8 +-
 rouana/lab/Dockerfile               |   2 -
 rouana/lab/bot-intent-lab.ipynb     | 510 +++-------------------------
 rouana/lab/docker-compose.yml       |   2 +-
 5 files changed, 57 insertions(+), 467 deletions(-)

diff --git a/rouana/data/intents/curiosidades.md b/rouana/data/intents/curiosidades.md
index 1075f738..c705635f 100644
--- a/rouana/data/intents/curiosidades.md
+++ b/rouana/data/intents/curiosidades.md
@@ -58,7 +58,7 @@
 - como ser proponente
 - quem pode propor
 - como me inscrever
-- proponente
+- como me tornar proponente
 - elegibilidade
 - inscrever
 - participar
diff --git a/rouana/data/intents/geral.md b/rouana/data/intents/geral.md
index 64b73097..c1e0f01c 100644
--- a/rouana/data/intents/geral.md
+++ b/rouana/data/intents/geral.md
@@ -9,7 +9,6 @@
 - posso falar com voce
 - pode me tirar uma duvida
 - gostaria de tirar uma duvida
-- oi tais
 - ola tais
 - to bem
 - tranquilo
@@ -37,7 +36,6 @@
 - tudo bem
 - ja
 - já
-- conheco
 - sim
 - ta
 - ok
@@ -77,15 +75,17 @@
 - creio que sobre a lei rouanet
 - quero falar sobre a lei
 - vamos falar sobre a lei
+- me fale da lei rouanet
 - mais sobre a lei
+- aprender sobre a lei rouanet
 - sobre a lei
-- lei rouanet
+- lei
 - rouanet
 - curiosidades
 - sobre a Lei eu acho
 - aprender mais
 - saber mais
-- lei
+- aprender mais
 
 ## intent:afirmar_projeto
 - prefiro conversar sobre criaçao e andamento de projetos
diff --git a/rouana/lab/Dockerfile b/rouana/lab/Dockerfile
index 58c8251c..5fab6269 100644
--- a/rouana/lab/Dockerfile
+++ b/rouana/lab/Dockerfile
@@ -13,5 +13,3 @@ USER jovyan
 RUN pip install -r /tmp/intent-requirements.txt
 
 RUN python -m spacy download pt
-
-ADD ./bot-intent-lab.ipynb /home/jovyan/work/
diff --git a/rouana/lab/bot-intent-lab.ipynb b/rouana/lab/bot-intent-lab.ipynb
index 79a35ce0..82c96b34 100644
--- a/rouana/lab/bot-intent-lab.ipynb
+++ b/rouana/lab/bot-intent-lab.ipynb
@@ -23,7 +23,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 1,
    "metadata": {
     "scrolled": true
    },
@@ -59,7 +59,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 2,
    "metadata": {
     "scrolled": true
    },
@@ -104,7 +104,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 131,
+   "execution_count": 5,
    "metadata": {
     "colab": {
      "autoexec": {
@@ -137,21 +137,21 @@
      "text": [
       "INFO:rasa_nlu.training_data.loading:Training data format of ../data/intents/geral.md is md\n",
       "INFO:rasa_nlu.training_data.training_data:Training data stats: \n",
-      "\t- intent examples: 118 (6 distinct intents)\n",
-      "\t- Found intents: 'afirmar_curiosidades', 'cumprimentar', 'negar', 'afirmar_projeto', 'afirmar', 'o_que_eh'\n",
+      "\t- intent examples: 120 (6 distinct intents)\n",
+      "\t- Found intents: 'afirmar_projeto', 'negar', 'cumprimentar', 'o_que_eh', 'afirmar_curiosidades', 'afirmar'\n",
       "\t- entity examples: 0 (0 distinct entities)\n",
       "\t- found entities: \n",
       "\n",
       "INFO:rasa_nlu.training_data.loading:Training data format of ../data/intents/curiosidades.md is md\n",
       "INFO:rasa_nlu.training_data.training_data:Training data stats: \n",
-      "\t- intent examples: 167 (8 distinct intents)\n",
-      "\t- Found intents: 'curiosidades_elegibilidade_de_empresa_para_beneficios', 'curiosidades_beneficios_incentivo_projetos_culturais', 'curiosidades_receber_incetivo_de_parentes', 'curiosidades_quantidade_projetos', 'curiosidades_lei_rouanet_elegibilidade', 'curiosidades_lei_rouanet_denuncia', 'curiosidades_deducao_imposto_de_renda_incentivador', 'curiosidades_lei_rouanet_arrecadamento'\n",
+      "\t- intent examples: 160 (8 distinct intents)\n",
+      "\t- Found intents: 'curiosidades_lei_rouanet_arrecadamento', 'curiosidades_elegibilidade_de_empresa_para_beneficios', 'curiosidades_lei_rouanet_denuncia', 'curiosidades_deducao_imposto_de_renda_incentivador', 'curiosidades_receber_incetivo_de_parentes', 'curiosidades_beneficios_incentivo_projetos_culturais', 'curiosidades_lei_rouanet_elegibilidade', 'curiosidades_quantidade_projetos'\n",
       "\t- entity examples: 0 (0 distinct entities)\n",
       "\t- found entities: \n",
       "\n",
       "INFO:rasa_nlu.training_data.training_data:Training data stats: \n",
-      "\t- intent examples: 285 (14 distinct intents)\n",
-      "\t- Found intents: 'curiosidades_elegibilidade_de_empresa_para_beneficios', 'afirmar_curiosidades', 'cumprimentar', 'curiosidades_beneficios_incentivo_projetos_culturais', 'negar', 'curiosidades_receber_incetivo_de_parentes', 'afirmar_projeto', 'afirmar', 'curiosidades_quantidade_projetos', 'curiosidades_lei_rouanet_elegibilidade', 'curiosidades_lei_rouanet_denuncia', 'curiosidades_deducao_imposto_de_renda_incentivador', 'curiosidades_lei_rouanet_arrecadamento', 'o_que_eh'\n",
+      "\t- intent examples: 280 (14 distinct intents)\n",
+      "\t- Found intents: 'afirmar_projeto', 'negar', 'cumprimentar', 'o_que_eh', 'curiosidades_lei_rouanet_arrecadamento', 'curiosidades_lei_rouanet_denuncia', 'curiosidades_elegibilidade_de_empresa_para_beneficios', 'curiosidades_deducao_imposto_de_renda_incentivador', 'curiosidades_receber_incetivo_de_parentes', 'curiosidades_beneficios_incentivo_projetos_culturais', 'afirmar_curiosidades', 'curiosidades_lei_rouanet_elegibilidade', 'afirmar', 'curiosidades_quantidade_projetos'\n",
       "\t- entity examples: 0 (0 distinct entities)\n",
       "\t- found entities: \n",
       "\n",
@@ -165,487 +165,79 @@
       "INFO:rasa_nlu.model:Finished training component.\n",
       "INFO:rasa_nlu.model:Starting to train component intent_classifier_tensorflow_embedding\n",
       "INFO:rasa_nlu.classifiers.embedding_intent_classifier:Accuracy is updated every 10 epochs\n",
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-      "Epochs:  97%|█████████▋| 292/300 [00:09<00:00, 33.60it/s, loss=0.046, acc=0.996]\u001b[A\n",
-      "Epochs:  97%|█████████▋| 292/300 [00:09<00:00, 33.60it/s, loss=0.041, acc=0.996]\u001b[A\n",
-      "Epochs:  97%|█████████▋| 292/300 [00:09<00:00, 33.60it/s, loss=0.041, acc=0.996]\u001b[A\n",
-      "Epochs:  97%|█████████▋| 292/300 [00:09<00:00, 33.60it/s, loss=0.042, acc=0.996]\u001b[A\n",
-      "Epochs:  97%|█████████▋| 292/300 [00:09<00:00, 33.60it/s, loss=0.041, acc=0.996]\u001b[A\n",
-      "Epochs:  99%|█████████▊| 296/300 [00:09<00:00, 33.44it/s, loss=0.041, acc=0.996]\u001b[A\n",
-      "Epochs:  99%|█████████▊| 296/300 [00:09<00:00, 33.44it/s, loss=0.042, acc=0.996]\u001b[A\n",
-      "Epochs:  99%|█████████▊| 296/300 [00:10<00:00, 33.44it/s, loss=0.043, acc=0.996]\u001b[A\n",
-      "Epochs:  99%|█████████▊| 296/300 [00:10<00:00, 33.44it/s, loss=0.040, acc=0.996]\u001b[A\n",
-      "Epochs:  99%|█████████▊| 296/300 [00:10<00:00, 33.44it/s, loss=0.045, acc=0.996]\u001b[A\n",
-      "Epochs: 100%|██████████| 300/300 [00:10<00:00, 33.88it/s, loss=0.045, acc=0.996]\u001b[A\n",
-      "\u001b[AINFO:rasa_nlu.classifiers.embedding_intent_classifier:Finished training embedding policy, loss=0.045, train accuracy=0.996\n",
+      "Epochs: 100%|██████████| 300/300 [00:08<00:00, 35.34it/s, loss=0.053, acc=1.000]\n",
+      "INFO:rasa_nlu.classifiers.embedding_intent_classifier:Finished training embedding policy, loss=0.053, train accuracy=1.000\n",
       "INFO:rasa_nlu.model:Finished training component.\n",
-      "INFO:rasa_nlu.model:Successfully saved model into '/home/jovyan/work/lab/models/nlu/default/current'\n",
-      "INFO:tensorflow:Restoring parameters from /home/jovyan/work/lab/./models/nlu/default/current/intent_classifier_tensorflow_embedding.ckpt\n",
+      "INFO:rasa_nlu.model:Successfully saved model into '/home/jovyan/lab/models/nlu/default/current'\n",
+      "INFO:tensorflow:Restoring parameters from /home/jovyan/lab/./models/nlu/default/current/intent_classifier_tensorflow_embedding.ckpt\n",
       "INFO:rasa_nlu.training_data.loading:Training data format of ../data/intents/geral.md is md\n",
       "INFO:rasa_nlu.training_data.training_data:Training data stats: \n",
-      "\t- intent examples: 118 (6 distinct intents)\n",
-      "\t- Found intents: 'afirmar_curiosidades', 'cumprimentar', 'negar', 'afirmar_projeto', 'afirmar', 'o_que_eh'\n",
+      "\t- intent examples: 120 (6 distinct intents)\n",
+      "\t- Found intents: 'afirmar_projeto', 'negar', 'cumprimentar', 'o_que_eh', 'afirmar_curiosidades', 'afirmar'\n",
       "\t- entity examples: 0 (0 distinct entities)\n",
       "\t- found entities: \n",
       "\n",
       "INFO:rasa_nlu.training_data.loading:Training data format of ../data/intents/curiosidades.md is md\n",
       "INFO:rasa_nlu.training_data.training_data:Training data stats: \n",
-      "\t- intent examples: 167 (8 distinct intents)\n",
-      "\t- Found intents: 'curiosidades_elegibilidade_de_empresa_para_beneficios', 'curiosidades_beneficios_incentivo_projetos_culturais', 'curiosidades_receber_incetivo_de_parentes', 'curiosidades_quantidade_projetos', 'curiosidades_lei_rouanet_elegibilidade', 'curiosidades_lei_rouanet_denuncia', 'curiosidades_deducao_imposto_de_renda_incentivador', 'curiosidades_lei_rouanet_arrecadamento'\n",
+      "\t- intent examples: 160 (8 distinct intents)\n",
+      "\t- Found intents: 'curiosidades_lei_rouanet_arrecadamento', 'curiosidades_elegibilidade_de_empresa_para_beneficios', 'curiosidades_lei_rouanet_denuncia', 'curiosidades_deducao_imposto_de_renda_incentivador', 'curiosidades_receber_incetivo_de_parentes', 'curiosidades_beneficios_incentivo_projetos_culturais', 'curiosidades_lei_rouanet_elegibilidade', 'curiosidades_quantidade_projetos'\n",
       "\t- entity examples: 0 (0 distinct entities)\n",
       "\t- found entities: \n",
       "\n",
       "INFO:rasa_nlu.training_data.training_data:Training data stats: \n",
-      "\t- intent examples: 285 (14 distinct intents)\n",
-      "\t- Found intents: 'curiosidades_elegibilidade_de_empresa_para_beneficios', 'afirmar_curiosidades', 'cumprimentar', 'curiosidades_beneficios_incentivo_projetos_culturais', 'negar', 'curiosidades_receber_incetivo_de_parentes', 'afirmar_projeto', 'afirmar', 'curiosidades_quantidade_projetos', 'curiosidades_lei_rouanet_elegibilidade', 'curiosidades_lei_rouanet_denuncia', 'curiosidades_deducao_imposto_de_renda_incentivador', 'curiosidades_lei_rouanet_arrecadamento', 'o_que_eh'\n",
+      "\t- intent examples: 280 (14 distinct intents)\n",
+      "\t- Found intents: 'afirmar_projeto', 'negar', 'cumprimentar', 'o_que_eh', 'curiosidades_lei_rouanet_arrecadamento', 'curiosidades_lei_rouanet_denuncia', 'curiosidades_elegibilidade_de_empresa_para_beneficios', 'curiosidades_deducao_imposto_de_renda_incentivador', 'curiosidades_receber_incetivo_de_parentes', 'curiosidades_beneficios_incentivo_projetos_culturais', 'afirmar_curiosidades', 'curiosidades_lei_rouanet_elegibilidade', 'afirmar', 'curiosidades_quantidade_projetos'\n",
       "\t- entity examples: 0 (0 distinct entities)\n",
       "\t- found entities: \n",
       "\n",
       "INFO:rasa_nlu.evaluate:Intent evaluation results:\n",
-      "INFO:rasa_nlu.evaluate:Intent Evaluation: Only considering those 285 examples that have a defined intent out of 285 examples\n",
-      "INFO:rasa_nlu.evaluate:F1-Score:  0.9964936596515546\n",
-      "INFO:rasa_nlu.evaluate:Precision: 0.9966759002770084\n",
-      "INFO:rasa_nlu.evaluate:Accuracy:  0.9964912280701754\n",
+      "INFO:rasa_nlu.evaluate:Intent Evaluation: Only considering those 280 examples that have a defined intent out of 280 examples\n",
+      "INFO:rasa_nlu.evaluate:F1-Score:  1.0\n",
+      "INFO:rasa_nlu.evaluate:Precision: 1.0\n",
+      "INFO:rasa_nlu.evaluate:Accuracy:  1.0\n",
       "INFO:rasa_nlu.evaluate:Classification report: \n",
       "                                                       precision    recall  f1-score   support\n",
       "\n",
-      "                                              afirmar       1.00      1.00      1.00        21\n",
-      "                                 afirmar_curiosidades       0.95      1.00      0.97        18\n",
-      "                                      afirmar_projeto       1.00      1.00      1.00        19\n",
+      "                                              afirmar       1.00      1.00      1.00        20\n",
+      "                                 afirmar_curiosidades       1.00      1.00      1.00        20\n",
+      "                                      afirmar_projeto       1.00      1.00      1.00        20\n",
       "                                         cumprimentar       1.00      1.00      1.00        20\n",
-      " curiosidades_beneficios_incentivo_projetos_culturais       1.00      1.00      1.00        44\n",
-      "   curiosidades_deducao_imposto_de_renda_incentivador       1.00      1.00      1.00        14\n",
-      "curiosidades_elegibilidade_de_empresa_para_beneficios       1.00      1.00      1.00        15\n",
+      " curiosidades_beneficios_incentivo_projetos_culturais       1.00      1.00      1.00        20\n",
+      "   curiosidades_deducao_imposto_de_renda_incentivador       1.00      1.00      1.00        20\n",
+      "curiosidades_elegibilidade_de_empresa_para_beneficios       1.00      1.00      1.00        20\n",
       "               curiosidades_lei_rouanet_arrecadamento       1.00      1.00      1.00        20\n",
       "                    curiosidades_lei_rouanet_denuncia       1.00      1.00      1.00        20\n",
-      "               curiosidades_lei_rouanet_elegibilidade       1.00      1.00      1.00        15\n",
-      "                     curiosidades_quantidade_projetos       1.00      1.00      1.00        19\n",
+      "               curiosidades_lei_rouanet_elegibilidade       1.00      1.00      1.00        20\n",
+      "                     curiosidades_quantidade_projetos       1.00      1.00      1.00        20\n",
       "            curiosidades_receber_incetivo_de_parentes       1.00      1.00      1.00        20\n",
       "                                                negar       1.00      1.00      1.00        20\n",
-      "                                             o_que_eh       1.00      0.95      0.97        20\n",
+      "                                             o_que_eh       1.00      1.00      1.00        20\n",
       "\n",
-      "                                            micro avg       1.00      1.00      1.00       285\n",
-      "                                            macro avg       1.00      1.00      1.00       285\n",
-      "                                         weighted avg       1.00      1.00      1.00       285\n",
+      "                                            micro avg       1.00      1.00      1.00       280\n",
+      "                                            macro avg       1.00      1.00      1.00       280\n",
+      "                                         weighted avg       1.00      1.00      1.00       280\n",
       "\n",
-      "INFO:rasa_nlu.evaluate:There were some nlu intent classification errors. Use `--verbose` to show them in the log.\n",
-      "INFO:rasa_nlu.evaluate:Model prediction errors saved to errors.json.\n",
+      "INFO:rasa_nlu.evaluate:No prediction errors were found. You are AWESOME!\n",
       "INFO:rasa_nlu.evaluate:Confusion matrix, without normalization: \n",
-      "[[21  0  0  0  0  0  0  0  0  0  0  0  0  0]\n",
-      " [ 0 18  0  0  0  0  0  0  0  0  0  0  0  0]\n",
-      " [ 0  0 19  0  0  0  0  0  0  0  0  0  0  0]\n",
+      "[[20  0  0  0  0  0  0  0  0  0  0  0  0  0]\n",
+      " [ 0 20  0  0  0  0  0  0  0  0  0  0  0  0]\n",
+      " [ 0  0 20  0  0  0  0  0  0  0  0  0  0  0]\n",
       " [ 0  0  0 20  0  0  0  0  0  0  0  0  0  0]\n",
-      " [ 0  0  0  0 44  0  0  0  0  0  0  0  0  0]\n",
-      " [ 0  0  0  0  0 14  0  0  0  0  0  0  0  0]\n",
-      " [ 0  0  0  0  0  0 15  0  0  0  0  0  0  0]\n",
+      " [ 0  0  0  0 20  0  0  0  0  0  0  0  0  0]\n",
+      " [ 0  0  0  0  0 20  0  0  0  0  0  0  0  0]\n",
+      " [ 0  0  0  0  0  0 20  0  0  0  0  0  0  0]\n",
       " [ 0  0  0  0  0  0  0 20  0  0  0  0  0  0]\n",
       " [ 0  0  0  0  0  0  0  0 20  0  0  0  0  0]\n",
-      " [ 0  0  0  0  0  0  0  0  0 15  0  0  0  0]\n",
-      " [ 0  0  0  0  0  0  0  0  0  0 19  0  0  0]\n",
+      " [ 0  0  0  0  0  0  0  0  0 20  0  0  0  0]\n",
+      " [ 0  0  0  0  0  0  0  0  0  0 20  0  0  0]\n",
       " [ 0  0  0  0  0  0  0  0  0  0  0 20  0  0]\n",
       " [ 0  0  0  0  0  0  0  0  0  0  0  0 20  0]\n",
-      " [ 0  1  0  0  0  0  0  0  0  0  0  0  0 19]]\n"
+      " [ 0  0  0  0  0  0  0  0  0  0  0  0  0 20]]\n"
      ]
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -657,7 +249,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -679,11 +271,11 @@
       "INFO:rasa_nlu.evaluate:Classification report: \n",
       "              precision    recall  f1-score   support\n",
       "\n",
-      "   no_entity       1.00      1.00      1.00      1395\n",
+      "   no_entity       1.00      1.00      1.00      1103\n",
       "\n",
-      "   micro avg       1.00      1.00      1.00      1395\n",
-      "   macro avg       1.00      1.00      1.00      1395\n",
-      "weighted avg       1.00      1.00      1.00      1395\n",
+      "   micro avg       1.00      1.00      1.00      1103\n",
+      "   macro avg       1.00      1.00      1.00      1103\n",
+      "weighted avg       1.00      1.00      1.00      1103\n",
       "\n"
      ]
     }
diff --git a/rouana/lab/docker-compose.yml b/rouana/lab/docker-compose.yml
index 9d0ea3df..bbdadce5 100644
--- a/rouana/lab/docker-compose.yml
+++ b/rouana/lab/docker-compose.yml
@@ -5,6 +5,6 @@ services:
     build:
       context: .
     volumes:
-      - ../:/home/jovyan/work
+      - ../:/home/jovyan/
     ports:
       - 8888:8888

From cabd210feff8340fcd70b8be3f7a2ddc24cf582f Mon Sep 17 00:00:00 2001
From: ArthurTemporim <arthurrtl@gmail.com>
Date: Thu, 1 Nov 2018 11:31:51 -0300
Subject: [PATCH 2/5] Add trash to .gitignore

Signed-off-by: ArthurTemporim <arthurrtl@gmail.com>
---
 .gitignore | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/.gitignore b/.gitignore
index bc475560..68a859a4 100644
--- a/.gitignore
+++ b/.gitignore
@@ -2,10 +2,15 @@
 /rouana/models
 rasa_core.log
 errors.json
+
 ### Rasa evaluate ###
 rouana/lab/models/
 rouana/lab/errors.json
 rouana/lab/lab/
+rouana/.ipython/
+rouana/.keras/
+rouana/.local/
+rouana/work
 
 ### Rocketchat ###
 /data

From dc05ca1ec7eefbb06f7293b9c9f0586e72214dc8 Mon Sep 17 00:00:00 2001
From: ArthurTemporim <arthurrtl@gmail.com>
Date: Thu, 1 Nov 2018 12:58:02 -0300
Subject: [PATCH 3/5] All intents improved

Signed-off-by: ArthurTemporim <arthurrtl@gmail.com>
---
 .gitignore                          | 1 +
 rouana/data/intents/curiosidades.md | 1 -
 2 files changed, 1 insertion(+), 1 deletion(-)

diff --git a/.gitignore b/.gitignore
index 68a859a4..a4d4c9d9 100644
--- a/.gitignore
+++ b/.gitignore
@@ -11,6 +11,7 @@ rouana/.ipython/
 rouana/.keras/
 rouana/.local/
 rouana/work
+rouana/lab/bot-intent-lab.ipynb
 
 ### Rocketchat ###
 /data
diff --git a/rouana/data/intents/curiosidades.md b/rouana/data/intents/curiosidades.md
index e694ecaa..da5c0f46 100644
--- a/rouana/data/intents/curiosidades.md
+++ b/rouana/data/intents/curiosidades.md
@@ -39,7 +39,6 @@
 - incentivador
 - patrocinador
 - vantagem
-- pessoa juridica
 - ganha
 
 

From 47472b57800cc09d0d996a3fcb5b30972667aa4f Mon Sep 17 00:00:00 2001
From: ArthurTemporim <arthurrtl@gmail.com>
Date: Mon, 5 Nov 2018 09:42:00 -0200
Subject: [PATCH 4/5] Rename lab to evaluation, move it to root directory and
 improve docker

Signed-off-by: ArthurTemporim <arthurrtl@gmail.com>
---
 .gitignore                                            | 10 +++++-----
 docker-compose.yml                                    | 10 ++++++++++
 {rouana/lab => docker/evaluation}/Dockerfile          | 11 ++++++-----
 .../evaluate-intents.ipynb                            |  0
 {rouana/lab => evaluation}/intent-requirements.txt    |  2 +-
 rouana/lab/docker-compose.yml                         | 10 ----------
 6 files changed, 22 insertions(+), 21 deletions(-)
 rename {rouana/lab => docker/evaluation}/Dockerfile (50%)
 rename rouana/lab/bot-intent-lab.ipynb => evaluation/evaluate-intents.ipynb (100%)
 rename {rouana/lab => evaluation}/intent-requirements.txt (85%)
 delete mode 100644 rouana/lab/docker-compose.yml

diff --git a/.gitignore b/.gitignore
index a4d4c9d9..61c09ec2 100644
--- a/.gitignore
+++ b/.gitignore
@@ -3,15 +3,15 @@
 rasa_core.log
 errors.json
 
-### Rasa evaluate ###
-rouana/lab/models/
-rouana/lab/errors.json
-rouana/lab/lab/
+### Rasa evaluation ###
+evaluation/models/
+evaluation/errors.json
+evaluation/lab/
+evaluation/bot-intent-lab.ipynb
 rouana/.ipython/
 rouana/.keras/
 rouana/.local/
 rouana/work
-rouana/lab/bot-intent-lab.ipynb
 
 ### Rocketchat ###
 /data
diff --git a/docker-compose.yml b/docker-compose.yml
index b8b2aa31..d463ec07 100644
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -68,3 +68,13 @@ services:
     restart: unless-stopped
     volumes:
       - ./web/postgres-data:/var/lib/postgresql/data
+
+  evaluation:
+    build:
+      context: .
+      dockerfile: ./docker/evaluation/Dockerfile
+    volumes:
+      - ./rouana:/work/rouana
+      - ./evaluation:/work/evaluation
+    ports:
+      - 8888:8888
diff --git a/rouana/lab/Dockerfile b/docker/evaluation/Dockerfile
similarity index 50%
rename from rouana/lab/Dockerfile
rename to docker/evaluation/Dockerfile
index 5fab6269..f4536d6a 100644
--- a/rouana/lab/Dockerfile
+++ b/docker/evaluation/Dockerfile
@@ -1,15 +1,16 @@
 FROM jupyter/minimal-notebook
 
-ADD ./intent-requirements.txt /tmp/
-
 USER root
 
 RUN apt-get update         \
-    && apt-get upgrade -yq \
-    && apt-get install -yq graphviz libgraphviz-dev pkg-config
+    && apt-get upgrade -yq
+
+RUN apt-get install -yq graphviz libgraphviz-dev pkg-config
 
-USER jovyan
+ADD ./evaluation/intent-requirements.txt /tmp/
 
 RUN pip install -r /tmp/intent-requirements.txt
 
+WORKDIR /work/
+
 RUN python -m spacy download pt
diff --git a/rouana/lab/bot-intent-lab.ipynb b/evaluation/evaluate-intents.ipynb
similarity index 100%
rename from rouana/lab/bot-intent-lab.ipynb
rename to evaluation/evaluate-intents.ipynb
diff --git a/rouana/lab/intent-requirements.txt b/evaluation/intent-requirements.txt
similarity index 85%
rename from rouana/lab/intent-requirements.txt
rename to evaluation/intent-requirements.txt
index 30f7c52a..5f654df0 100644
--- a/rouana/lab/intent-requirements.txt
+++ b/evaluation/intent-requirements.txt
@@ -1,4 +1,4 @@
-matplotlib==3.0.1
+matplotlib~=2.0
 rasa-nlu==0.13.7
 pygraphviz==1.5
 spacy==2.0.16
diff --git a/rouana/lab/docker-compose.yml b/rouana/lab/docker-compose.yml
deleted file mode 100644
index bbdadce5..00000000
--- a/rouana/lab/docker-compose.yml
+++ /dev/null
@@ -1,10 +0,0 @@
-version: '2'
-
-services:
-  lab:
-    build:
-      context: .
-    volumes:
-      - ../:/home/jovyan/
-    ports:
-      - 8888:8888

From 3e4385a77bd0b1d5a9186fe5add49d9dcbca0826 Mon Sep 17 00:00:00 2001
From: ArthurTemporim <arthurrtl@gmail.com>
Date: Mon, 5 Nov 2018 11:05:44 -0200
Subject: [PATCH 5/5] Remove the need to insert token and password and rename
 evaluation to analysis

Signed-off-by: ArthurTemporim <arthurrtl@gmail.com>
---
 {evaluation => analysis}/evaluate-intents.ipynb  | 0
 {evaluation => analysis}/intent-requirements.txt | 0
 docker/{evaluation => analysis}/Dockerfile       | 2 ++
 3 files changed, 2 insertions(+)
 rename {evaluation => analysis}/evaluate-intents.ipynb (100%)
 rename {evaluation => analysis}/intent-requirements.txt (100%)
 rename docker/{evaluation => analysis}/Dockerfile (78%)

diff --git a/evaluation/evaluate-intents.ipynb b/analysis/evaluate-intents.ipynb
similarity index 100%
rename from evaluation/evaluate-intents.ipynb
rename to analysis/evaluate-intents.ipynb
diff --git a/evaluation/intent-requirements.txt b/analysis/intent-requirements.txt
similarity index 100%
rename from evaluation/intent-requirements.txt
rename to analysis/intent-requirements.txt
diff --git a/docker/evaluation/Dockerfile b/docker/analysis/Dockerfile
similarity index 78%
rename from docker/evaluation/Dockerfile
rename to docker/analysis/Dockerfile
index f4536d6a..88b206bc 100644
--- a/docker/evaluation/Dockerfile
+++ b/docker/analysis/Dockerfile
@@ -14,3 +14,5 @@ RUN pip install -r /tmp/intent-requirements.txt
 WORKDIR /work/
 
 RUN python -m spacy download pt
+
+CMD jupyter-notebook --allow-root --NotebookApp.token='' --NotebookApp.password=''