Sentiment Analysis

A wrapper around Google Cloud AutoML & Google Cloud Natural Language for sentiment analysis

Setup & Running

Please make sure to create the GOOGLE_APPLICATION_CREDENTIALS entry following the instructions below:

In the GCP Console, go to the Create service account key page.

Go to the Create Service Account Key page

From the Service account drop-down list, select New service account.
In the Service account name field, enter a name .
From the Role drop-down list, select Project > Owner.

Note: The Role field authorizes your service account to access resources. You can view and change this field later by using GCP Console. If you are developing a production app, specify more granular permissions than Project > Owner. For more information, see granting roles to service accounts.

Click Create. A JSON file that contains your key downloads to your computer. Please make sure to provide it in the project root folder and rename it to credentials.json.

Then, you need to create and to activate the venv and install the requirements. Please make sure to use Python 3. You may use asdf to manage Python versions; a .tool-versions file is already available.

$ python3 -m venv venv
$ source venv/bin/activate
$ pip install -r requirements.txt

Once the setup is complete, you may run python index.py. The web server will be available at port 3000 by default.

Deployment

In order to deploy it, you may create a Docker image and then setup a Docker container. The following commands may help on that:

$ docker build -t fiap/sentiment-analysis .
$ docker run -d -p 8080:80 fiap/sentiment-analysis:latest

The web server will be available at port 8080.

earaujoassis/sentiment-analysis

Sentiment Analysis

Setup & Running

Deployment

License