This project is a Text classification Project based Using Huggingface🤗 pretrained Models. In this project, we finetuned a hugging face text classification model to determine covid vaccine tweet sentiments.

• Installation
• Usage
• Authors
• Acknowledgement
• contact

To get started , follow these installation steps:

# setup the environment on windows by running the following code.
python -m venv venv; venv\Scripts\activate; python -m pip install -q --upgrade pip; python -m pip install -r requirements.txt  

#On Linux
python3 -m venv venv; source venv/bin/activate; python -m pip install -q --upgrade pip; python -m pip install -r requirements.txt 

The Two commands are of the same structure 1.Activate the python environment 2.Upgrade pip to it current version 3.install the requirements located in requirements.txt: You should be at the root of your env

run streamlit src/streamlit app/app.py

This app has been deployed on Huggingface🤗 cloud platform. To see how it works access it here

To create this project yourself follow these steps

1. Create a huggingface Account here

2.Go to src and load the finetuned notebook: upload this notebook to google colab

3.Using a GPU run the cells in the notebook login section, go to your hugging face profile and and create a write access token paste this token at the notebook login session

4.The model will be pushed to your huggingface account

This project is developed and maintained by:

• Sylvester Junior Ampomah
• Jacob Jaroya 🚀
• Kinsley Yaw Asiedu ⭐️
• Felix kiprotich 💡 Feel free to reach out to us with any questions or feedback!

We would like to express our gratitude to The Azubi Africa team for their valuable contributions to this project.

For any questions, concerns, or suggestions regarding this project, please contact us at [email protected].