From 789a5f103a21a29476787e2ddcffe3ecb37b709a Mon Sep 17 00:00:00 2001
From: Federica Nocera <federica.nocera@gmail.com>
Date: Thu, 23 May 2019 11:40:18 -0400
Subject: [PATCH] Small edits.

---
 README.md        | 11 ++++++++++-
 requirements.txt |  9 ++++++++-
 2 files changed, 18 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index bad7ced..05a29d9 100644
--- a/README.md
+++ b/README.md
@@ -18,4 +18,13 @@ You can develop your model with training pipeline and run with whatever variable
 You can then package it as an MLProject and run with this command (replacing variables with whatever you prefer using). 
 ```
 mlflow run model/wine_model_train.py -P model_name="model_1" alpha=0.8 l1_ratio=0.4
-```
\ No newline at end of file
+```
+
+TODO: Add details of ML Flow and AML details.
+
+To deploy a server using an existing Azure Blob storage run: 
+```
+mlflow server --file-store /tmp/mlflow --default-artifact-root "$MLFLOW_SERVER_DEFAULT_ARTIFACT_ROOT" --host 0.0.0.0
+``` 
+Then you can link to the server/where it is hosted for the deployment part. `MLFLOW_SERVER_DEFAULT_ARTIFACT_ROOT=wasbs://container@blob)NAME.blob.core.windows.net
+
diff --git a/requirements.txt b/requirements.txt
index 6472e4a..6ec54eb 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -7,4 +7,11 @@ pandas==0.24.1
 python-dotenv==0.10.1
 scipy==1.2.1
 scikit-learn==0.20.1
-azure-storage
\ No newline at end of file
+azure-storage
+papermill==0.14.1
+numba==0.42.0
+python-dotenv==0.10.1
+Pillow==5.4.1
+azure-cli==2.0.50
+tensorflow
+keras==2.2.4
\ No newline at end of file