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* Added the print statement to check the execution flow.
* Changes for Food and Wine Pairing Module
* New Python Project for Food Wine Pairing - AI/ML
Added a service for Food Wine pairing.
Calling service from InventoryServiceOrderEventConsumer.
Service finds the suitable wines for the Food item and send the recommendedWines to user.
* Added sk-learn library and changed python to 3.7
* Given permission to sh files before commiting and deleted unnecessary files.
* added sh files of 777 permissions from Paul.
* install python 3.7 - Docker file updated
* install python using apt
* removed rm yum
* Added RUN each line to know the exact line errors
* removed sudo in Docker file and added apt-get update
* changed python3.7 to python.
* changed python version to initial one 3.6
* removed python-oci-sdk
* updated with python 3.7 workaround
* removed FROM oraclelinux:7-slim, added FROM ubuntu:18.04, to resolve apt issue
* set python 3.7 as defaukt
* fetched the latest code and updated foodwinepairing deployment yaml file
* returned no wines suggested
* initialized client with client builder
* added kubectl apply in deploy.sh
* changed hostname to localhost
* reverted url.
* cleared DB related stuffs in deployment yaml file
* cleared non-required configs from deployment yaml file
* added cx_oracle
* imported WineFoodPairings file in app.py
* added install pandas and numpy
* added nltk
* added matplotlib
* added ipython
* Assigned input to test food
* Fixed the issues which were there in 1st working version
* Added foodwinepairing-python in undeploy.sh
* Added the config for calling foodwinepairing service
* Added isSuggestiveSaleAIEnabled config in inventory-helidon deployment yaml
* corrected indentation of isSuggestiveSaleAIEnabled value
* added the same content from main branch to resolve conflicts
* added foodwinepairing-python
* removed foodwinepairing-python
* Added foodwinepairing-python after resolving conflict
* removed the sysout statements
* removed foodwinepairing-python from grabdish/deploy.sh
* Stopwords and Tokenizers config kept only for English. Removed for other languages.
* Revert "Stopwords and Tokenizers config kept only for English. Removed for other languages."
This reverts commit 4b203c1.
* Removed the non-english stopwords and tokenizers which are used during model creation
* Optimized the food wine pairing build.
Using the oraclelinux:7-slim, python 3.6
Removed redundant software installtion like numpy(comes in gensim only)
* created the folder and file for workshop
* updated gensim version to 4.1.2
Co-authored-by: prhirema <prhirema@PRHIREMA-IN.oradev.oraclecorp.com>
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