metadata

title: Test
emoji: 👀
colorFrom: yellow
colorTo: purple
sdk: docker
pinned: false
license: apache-2.0

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

AI-Powered Mood-Based Music Recommendation System

Welcome to the AI-Powered Mood-Based Music Recommendation System, a captivating project developed using Python and its frameworks. This innovative system aims to offer personalized music recommendations based on the user's current mood, creating an immersive and enjoyable music experience.

Overview

The project opens with an engaging audio prompt asking users, "How are you feeling today?" Utilizing the Whisper library, the user's response, is transcribed into text. An advanced AI model trained for emotion classification analyzes this text to precisely identify the user's emotional state.

Features

Audio Prompt: Engage with an audio message that initiates the interaction.
Speech-to-Text: Whisper library converts spoken responses into text.
Emotion Classification: AI model accurately classifies user emotions.
Music Recommendations: Based on emotions, receive tailored song recommendations.
User-Friendly Interface: Python frameworks create an intuitive web-based UI.

Commands

Build

docker build --tag mood-based --file Dockerfile .

Run

docker run -dit --name mood-based --network host -v /Users/arunaddagatla/Arun/Adarsh/SpeechEmotionV2/app/:/app/ mood-based:latest

To go inside docker

docker exec -it mood-based bash

Stop and remove docker

docker stop mood-based && docker rm mood-based