Rhythm-Finder is a unsupervised ML driven python powered web-application that can find the songs that suits you.

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Text Data & NLP machine-learning recommendation-engine hacktoberfest hacktoberfest2021
Overview

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Table of Contents
  1. About The Project
  2. Getting Started
  3. Usage
  4. Roadmap
  5. Contributing
  6. License
  7. Contact

About The Project

![Product Name Screen Shot][product-screenshot]

Rhythm-Finder is a unsupervised ML driven python powered web-application that can find the songs that suits you. It takes your basic data over music taste and gives you some song which you might like .

Built With

This section should list any major frameworks that you built your project using. Leave any add-ons/plugins for the acknowledgements section. Here are a few examples.

Getting Started

This is an example of how you may give instructions on setting up your project locally. To get a local copy up and running follow these simple example steps.

Prerequisites

This is an example of how to list things you need to use the software and how to install them.

Installation

  1. Clone the repo 
    git clone https://github.com/gdscjgec/Rhythm-Finder.git
  2. Install dependencies 
    cd Rhythm-Finder
pip install requirements.txt
  3. Open terminal and go to the folder using cd command example : cd
  4. Run the command 
    streamlit run app.py

Usage

Use this space to show useful examples of how a project can be used. Additional screenshots, code examples and demos work well in this space. You may also link to more resources.

For more examples, please refer to the Documentation

Roadmap

See the open issues for a list of proposed features (and known issues).

Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

  1. Fork the Project
  2. Create your Feature Branch ( git checkout -b feature/AmazingFeature )
  3. Add your Changes ( git add . )
  4. Commit your Changes ( git commit -m 'Add some AmazingFeature' )
  5. Push to the Branch ( git push origin feature/AmazingFeature )
  6. Open a Pull Request

License

Distributed under the MIT License. See LICENSE for more information.

Contact

Mail us at - [email protected]

Comments
  • Add Background Image to the web-application

    Add Background Image to the web-application

    🚀 Feature

    Add a background image for the web application. The image should be in .jpg or .png format.

    Procedure : The contributors should take the following steps :

    1. Opt for a relevant image for background (must be in the required format).
    2. Name that bg.jpg.
    3. Push that to the assets folder.
    4. Add the image as streamlit-server background. For reference, you can check this.
    enhancement good first issue hacktoberfest 
    opened by sagnik1511 8
  • Please check and tell me needed changes

    Please check and tell me needed changes

    Description

    1. Replacing Null values
    2. Remove unwanted features and rows
    3. Change categorical data types to categorical

    Checklist

    • [x] I am making a proper pull request, not spam.

    • [x] I've checked the issue list before deciding what to submit.

    Related Issues or Pull Requests

    Preprocess the dataset : Handling NULL values & Duplicate features #1

    Add relevant screenshot or video (if any)

    opened by nilupulmanodya 7
  • Preprocess the dataset : Handling NULL values & Duplicate features

    Preprocess the dataset : Handling NULL values & Duplicate features

    Problem Statement:

    First, run the notebook and preprocess the dataset with given steps :

    Steps:

    1. Relacing Null values: If null values are present then intelligently handle those. 2. Remove unwanted features or rows: If there are features with low variance, constant feature, then omit those. If there are duplicate data in the dataset omit those too.

    The update should reflect in the notebook.

    enhancement hacktoberfest 
    opened by sagnik1511 4
  • Please check and tell me needed changes

    Please check and tell me needed changes

    Description

    1. Replacing Null values
    2. Remove unwanted features and rows

    Checklist

    • [x] I am making a proper pull request, not spam.
    • [x] I've checked the issue list before deciding what to submit.

    Related Issues or Pull Requests

    Preprocess the dataset : Handling NULL values & Duplicate features #1

    Add relevant screenshot or video (if any)

    (Add here)

    hacktoberfest-accepted 
    opened by nilupulmanodya 2
  • LOGO ADDED

    LOGO ADDED

    Description

    (Write your answer here.)

    Checklist

    • [x] I am making a proper pull request, not spam.
    • [x] I've checked the issue list before deciding what to submit.

    Related Issues or Pull Requests

    (Write your answer here.)

    Add relevant screenshot or video (if any)

    (Add here)

    opened by ZiaCodes 1
  • Add Logo and Banner

    Add Logo and Banner

    📚 Documentation

    1. Create a Logo for the repository.

    2. Create a banner for the repository

    All the assets should be in .png format and should be pushed after storing them in assets

    Additional Task :

    Update the README.md with those accordingly.

    documentation good first issue 
    opened by sagnik1511 1
  • reate a scatterplot

    reate a scatterplot

    🚀 Feature

    A clear and concise description of what the feature is. Create a scatterplot based on the songs' valence and danceability values. In addition, we will also use linear regression to find their correlation.

    Is your feature request related to a problem? Please describe. A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]

    Describe the solution you'd like A clear and concise description of what you want to happen.

    Describe alternatives you've considered A clear and concise description of any alternative solutions or features you've considered.

    Additional context Add any other context or screenshots about the feature request here.

    opened by aryasoni98 0
  • Add background image

    Add background image

    Description

    Added the required background image in web application. Check background image in assets folder.

    Checklist

    • [x] I am making a proper pull request, not spam.
    • [x] I've checked the issue list before deciding what to submit.

    Related Issues or Pull Requests

    #4

    hacktoberfest-accepted 
    opened by AnuragYadav365 0
  • Bump streamlit from 0.78.0 to 1.11.1

    Bump streamlit from 0.78.0 to 1.11.1

    Bumps streamlit from 0.78.0 to 1.11.1.

    Release notes

    Sourced from streamlit's releases.

    1.11.1

    No release notes provided.

    1.11.0

    No release notes provided.

    1.10.0

    No release notes provided.

    1.9.2

    No release notes provided.

    1.9.1

    No release notes provided.

    1.9.0

    No release notes provided.

    1.8.1

    No release notes provided.

    1.8.0

    No release notes provided.

    1.7.0

    • ❄️ Add st.snow()!

    1.6.0

    • 🗜 WebSocket compression is now disabled by default, which will improve CPU and latency performance for large dataframes. You can use the server.enableWebsocketCompression  configuration option to re-enable it if you find the increased network traffic more impactful.
    • ☑️ 🔘 Radio and checkboxes improve focus on Keyboard navigation (#4308)

    1.5.1

    No release notes provided.

    1.5.0

    Release date: Jan 27, 2022

    Notable Changes

    • 🌟 Favicon defaults to a PNG to allow for transparency (#4272).
    • 🚦 Select Slider Widget now has the disabled parameter that removes interactivity (completing all of our widgets) (#4314).

    Other Changes

    • 🔤 Improvements to our markdown library to provide better support for HTML (specifically nested HTML) (#4221).
    • 📖 Expanders maintain their expanded state better when multiple expanders are present (#4290).
    • 🗳 Improved file uploader and camera input to call its on_change handler only when necessary (#4270).

    1.4.0

    ... (truncated)

    Commits

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    dependencies 
    opened by dependabot[bot] 0
  • Bump numpy from 1.19.2 to 1.22.0

    Bump numpy from 1.19.2 to 1.22.0

    Bumps numpy from 1.19.2 to 1.22.0.

    Release notes

    Sourced from numpy's releases.

    v1.22.0

    NumPy 1.22.0 Release Notes

    NumPy 1.22.0 is a big release featuring the work of 153 contributors spread over 609 pull requests. There have been many improvements, highlights are:

    • Annotations of the main namespace are essentially complete. Upstream is a moving target, so there will likely be further improvements, but the major work is done. This is probably the most user visible enhancement in this release.
    • A preliminary version of the proposed Array-API is provided. This is a step in creating a standard collection of functions that can be used across application such as CuPy and JAX.
    • NumPy now has a DLPack backend. DLPack provides a common interchange format for array (tensor) data.
    • New methods for quantile, percentile, and related functions. The new methods provide a complete set of the methods commonly found in the literature.
    • A new configurable allocator for use by downstream projects.

    These are in addition to the ongoing work to provide SIMD support for commonly used functions, improvements to F2PY, and better documentation.

    The Python versions supported in this release are 3.8-3.10, Python 3.7 has been dropped. Note that 32 bit wheels are only provided for Python 3.8 and 3.9 on Windows, all other wheels are 64 bits on account of Ubuntu, Fedora, and other Linux distributions dropping 32 bit support. All 64 bit wheels are also linked with 64 bit integer OpenBLAS, which should fix the occasional problems encountered by folks using truly huge arrays.

    Expired deprecations

    Deprecated numeric style dtype strings have been removed

    Using the strings "Bytes0", "Datetime64", "Str0", "Uint32", and "Uint64" as a dtype will now raise a TypeError.

    (gh-19539)

    Expired deprecations for loads, ndfromtxt, and mafromtxt in npyio

    numpy.loads was deprecated in v1.15, with the recommendation that users use pickle.loads instead. ndfromtxt and mafromtxt were both deprecated in v1.17 - users should use numpy.genfromtxt instead with the appropriate value for the usemask parameter.

    (gh-19615)

    ... (truncated)

    Commits

    Dependabot compatibility score

    Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.

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    You can disable automated security fix PRs for this repo from the Security Alerts page.

    dependencies 
    opened by dependabot[bot] 0
  • Web-app UI Enhancement

    Web-app UI Enhancement

    🚀 Feature

    Add the following features to the webpage :

    1. Add the project banner on the top of the streamlit web app. The banner should be in the middle.
    2. Create a sidebar.
    3. In the sidebar add a heading that says Update User Preferences.

    Things to remember :

    1. If you're using any library which is not inside the requirements.txt file, do remember to update that.
    2. Share the screenshot of the webpage with the PR (Do not commit those on the repo).
    3. To submit a PR, do remember to comment on the issue, so that the maintainer can assign you for the task.
    enhancement good first issue hacktoberfest 
    opened by sagnik1511 0
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