rahults462 / sample-project

This is a sample project for Spam detection in messages

Directory Structure

1. The repositoy contains the file required to create the Spam detector and App deployment code.

2. The "final-project.ipynb" file is a notebook which you can open and run using colab (recommended).

3. Other files are needed to run the app.

How to run the code

1. Clone/download the repository
2. Install the requirements present in the requirements.txt using pip install -r requirements.txt
3. Run the app using streamlit run app.py

How to use the YouTube comments spam analyzer

1. Use the steps written here to get the "credentials.json" file
2. Add credentials.json file inside the directory
3. Run "youtube_comments.py" to create the token.
4. That's it! Now you can access the YouTube comments from the app.

Video tutorial

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We have created video tutorial to help you out understand the overall flow of the project

1. Part-1 of the tutorial is present here
2. Part-2 of the tutorial is present here