Created Spam Email Classification

AdarshRout commented 1 month ago

Description

This pull request introduces a Spam Email Classification App built using Streamlit. The app leverages a pre-trained machine learning model to accurately classify emails as spam or not based on various input parameters such as email subject, sender address, email body, and other metadata.

Type of Change

New feature (non-breaking change which adds functionality)
Documentation added

Checklist

[x] My code follows the style guidelines of this project.
[x] I have performed a self-review of my code.
[x] I have commented my code, particularly in hard-to-understand areas.
[x] I have made corresponding changes to the documentation.
[x] My changes generate no new warnings.
[x] I have added tests that prove my fix is effective or that my feature works.
[x] New and existing unit tests pass locally with my changes.

Additional Notes

Please check the README.md inside it to understand how to run the app.

Summary by CodeRabbit

New Features
- Introduced a Streamlit application for spam email classification.
- Added a Jupyter Notebook for training and testing a Naive Bayes model on spam emails.
- Implemented a README file detailing app functionality, installation, and usage instructions.
- Created a requirements file listing necessary libraries for the project.
Bug Fixes
- Included a .gitignore file to prevent unnecessary files from being tracked.

vercel[bot] commented 1 month ago

The latest updates on your projects. Learn more about Vercel for Git ↗︎

Name	Status	Preview	Comments	Updated (UTC)
universal-box	✅ Ready (Inspect)	Visit Preview	💬 Add feedback	Oct 24, 2024 6:36pm

coderabbitai[bot] commented 1 month ago

[!IMPORTANT]

Review skipped

Auto incremental reviews are disabled on this repository.

Please check the settings in the CodeRabbit UI or the .coderabbit.yaml file in this repository. To trigger a single review, invoke the @coderabbitai review command.

You can disable this status message by setting the reviews.review_status to false in the CodeRabbit configuration file.

Walkthrough

The changes introduce several new files and configurations for the Spam Email Classification project. A .gitignore file is added to exclude unnecessary files from version control. A Jupyter Notebook is created for training a Naive Bayes model for spam classification, along with a README.md file detailing the application and its usage. A requirements.txt file is included to specify necessary dependencies, and a Streamlit application is implemented to provide a user interface for classifying spam emails.

Changes

File	Change Summary
`template/Data-Science/Classification/Spam Email Classification/.gitignore`	Added a `.gitignore` file to exclude `venv/`, `Model/model.pkl`, and `Model/spam_vectorizer.pkl`.
`template/Data-Science/Classification/Spam Email Classification/Model/Spam-Email-Classification.ipynb`	Introduced a Jupyter Notebook for spam classification using a Naive Bayes model, including data processing and model evaluation.
`template/Data-Science/Classification/Spam Email Classification/README.md`	Added a README.md file outlining the application's functionality, installation, and usage instructions.
`template/Data-Science/Classification/Spam Email Classification/requirements.txt`	Created a `requirements.txt` file listing dependencies: `numpy`, `pandas`, `scikit-learn`, `joblib`, `streamlit`.
`template/Data-Science/Classification/Spam Email Classification/streamlit_app.py`	Implemented a Streamlit app for spam classification, including functions to load the model and classify input emails.

Possibly related PRs

87: The addition of a .gitignore file in the Diabetes Prediction project is similar to the .gitignore file introduced in the Spam Email Classification project, both aimed at excluding unnecessary files from version control.
88: The introduction of a requirements.txt file in the Diabetes Prediction project parallels the one created for the Spam Email Classification project, as both specify essential dependencies for their respective applications.

🐰 In fields of data, we hop and play,
With spam and ham, we save the day.
A model trained, a web app bright,
Classifying emails, wrong or right.
With README and requirements in sight,
Our project blooms, a pure delight! 🌼

Thank you for using CodeRabbit. We offer it for free to the OSS community and would appreciate your support in helping us grow. If you find it useful, would you consider giving us a shout-out on your favorite social media?

❤️ Share

- [X](https://twitter.com/intent/tweet?text=I%20just%20used%20%40coderabbitai%20for%20my%20code%20review%2C%20and%20it%27s%20fantastic%21%20It%27s%20free%20for%20OSS%20and%20offers%20a%20free%20trial%20for%20the%20proprietary%20code.%20Check%20it%20out%3A&url=https%3A//coderabbit.ai) - [Mastodon](https://mastodon.social/share?text=I%20just%20used%20%40coderabbitai%20for%20my%20code%20review%2C%20and%20it%27s%20fantastic%21%20It%27s%20free%20for%20OSS%20and%20offers%20a%20free%20trial%20for%20the%20proprietary%20code.%20Check%20it%20out%3A%20https%3A%2F%2Fcoderabbit.ai) - [Reddit](https://www.reddit.com/submit?title=Great%20tool%20for%20code%20review%20-%20CodeRabbit&text=I%20just%20used%20CodeRabbit%20for%20my%20code%20review%2C%20and%20it%27s%20fantastic%21%20It%27s%20free%20for%20OSS%20and%20offers%20a%20free%20trial%20for%20proprietary%20code.%20Check%20it%20out%3A%20https%3A//coderabbit.ai) - [LinkedIn](https://www.linkedin.com/sharing/share-offsite/?url=https%3A%2F%2Fcoderabbit.ai&mini=true&title=Great%20tool%20for%20code%20review%20-%20CodeRabbit&summary=I%20just%20used%20CodeRabbit%20for%20my%20code%20review%2C%20and%20it%27s%20fantastic%21%20It%27s%20free%20for%20OSS%20and%20offers%20a%20free%20trial%20for%20proprietary%20code)

🪧 Tips

### Chat There are 3 ways to chat with [CodeRabbit](https://coderabbit.ai): - Review comments: Directly reply to a review comment made by CodeRabbit. Example: - `I pushed a fix in commit , please review it.` - `Generate unit testing code for this file.` - `Open a follow-up GitHub issue for this discussion.` - Files and specific lines of code (under the "Files changed" tab): Tag `@coderabbitai` in a new review comment at the desired location with your query. Examples: - `@coderabbitai generate unit testing code for this file.` - `@coderabbitai modularize this function.` - PR comments: Tag `@coderabbitai` in a new PR comment to ask questions about the PR branch. For the best results, please provide a very specific query, as very limited context is provided in this mode. Examples: - `@coderabbitai gather interesting stats about this repository and render them as a table. Additionally, render a pie chart showing the language distribution in the codebase.` - `@coderabbitai read src/utils.ts and generate unit testing code.` - `@coderabbitai read the files in the src/scheduler package and generate a class diagram using mermaid and a README in the markdown format.` - `@coderabbitai help me debug CodeRabbit configuration file.` Note: Be mindful of the bot's finite context window. It's strongly recommended to break down tasks such as reading entire modules into smaller chunks. For a focused discussion, use review comments to chat about specific files and their changes, instead of using the PR comments. ### CodeRabbit Commands (Invoked using PR comments) - `@coderabbitai pause` to pause the reviews on a PR. - `@coderabbitai resume` to resume the paused reviews. - `@coderabbitai review` to trigger an incremental review. This is useful when automatic reviews are disabled for the repository. - `@coderabbitai full review` to do a full review from scratch and review all the files again. - `@coderabbitai summary` to regenerate the summary of the PR. - `@coderabbitai resolve` resolve all the CodeRabbit review comments. - `@coderabbitai configuration` to show the current CodeRabbit configuration for the repository. - `@coderabbitai help` to get help. ### Other keywords and placeholders - Add `@coderabbitai ignore` anywhere in the PR description to prevent this PR from being reviewed. - Add `@coderabbitai summary` to generate the high-level summary at a specific location in the PR description. - Add `@coderabbitai` anywhere in the PR title to generate the title automatically. ### CodeRabbit Configuration File (`.coderabbit.yaml`) - You can programmatically configure CodeRabbit by adding a `.coderabbit.yaml` file to the root of your repository. - Please see the [configuration documentation](https://docs.coderabbit.ai/guides/configure-coderabbit) for more information. - If your editor has YAML language server enabled, you can add the path at the top of this file to enable auto-completion and validation: `# yaml-language-server: $schema=https://coderabbit.ai/integrations/schema.v2.json` ### Documentation and Community - Visit our [Documentation](https://coderabbit.ai/docs) for detailed information on how to use CodeRabbit. - Join our [Discord Community](http://discord.gg/coderabbit) to get help, request features, and share feedback. - Follow us on [X/Twitter](https://twitter.com/coderabbitai) for updates and announcements.

AdarshRout commented 4 weeks ago

I have made the requested changes to the pull request. Please review the updates and let me know if any further adjustments are needed.

Thank you for your feedback and guidance.

Abhishek-Mallick / universal-box