doctapool / career-accl-hug-lp5

📚 SUMMARY TABLE 📚

	Project's Name	Deployment Link	Article Link
1	-Sentiment-Analysis	(https://huggingface.co/spaces/Ausbel/Gradio-vaccine-sentimental-analysis-APP2)	(https://medium.com/@richard.fiagbeati/implications-for-global-health-policy-and-vaccine-communication-from-the-machine-learning-assisted-272044f61925)

📚 Description

This project is to develop a machine learning model to assess if a twitter post that is related to vaccinations is positive, neutral, or negative.

📖 Table of Contents

• Installation
• Usage
• Authors
• Acknowledgement
• contact

🔧 Installation

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

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🚀 Usage

To see how the app works, follow these instructions: 1.After setting up enviroment,activatig the environment, and installing requirments,type bash

👥 Authors

This project is developed and maintained by:

• Richard Fiagbeati Feel free to reach out to me with any questions or feedback!

✨ Acknowledgments

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

📞 Contact

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