Kuzgunlar Model Web Interface

This repo is prepared so that the Kuzgunlar Turkish NLP models can be easily used by the end users.

❗ Requirements

• Python3.4 or higher version.
• The Python Package Installer (pip).

⚙ Setup

• Clone or download this repo
• Then use the following command to install the packages named in the requirements.txt file.

 python3 -m pip install -r requirements.txt

❗ IMPORTANT - Each model is ~ 450mb in size and will be downloaded automatically during initial startup. Therefore, the first run may take a long time.

• Installation process:

🎮 Usage of the Web Interface

The web interface provides a very easy to use environment for the end users to test and use the models.

• To run the interface, all you have to do is running this command.

 python3 dash_app.py

• Then you can use the Q&A and NER models by going to http://127.0.0.1:8050 with your browser.

• The Kuzgunlar web interface allows you to try all other models available at https://huggingface.co/models.

• Usage:

🎮 Usage of the Web API

The web API is useful when you need to work fast with big data.

• To run the interface, all you have to do is running this command.

 python3 api.py

• Next, you need to post a POST request to the URL of the model you want to use.
• If you use curl for REST request:

For NER Model:

 curl http://127.0.0.1:5000/ner -H 'Content-Type: application/json' -d '{"context": "Samsun, büyükşehir statüsündeki otuz ilden biridir."}'

For the Question-Answer Model:

 curl http://127.0.0.1:5000/qa -H 'Content-Type: application/json' -d '{"context": "Mehteran birliği 1365 yılında kuruldu.", "question": "Mehteran ne zaman kuruldu?"}'

For Sentiment Analysis Model:

 curl http://127.0.0.1:5000/sentiment -H 'Content-Type: application/json' -d '{"context": "Bu ürün çok başarılı."}'

• Usage: