Implementation of hate speech detection task for Turkish news in print media. Rulemodel should be downloaded and be put in a folder whose name is rulemodel.
If you start the app with following command, you can run the fastAPI app to use detect endpoint. You must send body of the news in text parameter.
$ uvicorn app:app --reload --host <host_ip> --port <port_number>
You can use the demo by running the following command.
$ streamlit run demo.py --server.port <port_number>
21 commits
2 commits
Jupyter Notebook
92.4%
Python
7.6%
Implementation of hate speech detection task for Turkish news in print media. Rulemodel should be downloaded and be put in a folder whose name is rulemodel.
If you start the app with following command, you can run the fastAPI app to use detect endpoint. You must send body of the news in text parameter.
$ uvicorn app:app --reload --host <host_ip> --port <port_number>
You can use the demo by running the following command.
$ streamlit run demo.py --server.port <port_number>
21 commits
2 commits
Jupyter Notebook
92.4%
Python
7.6%