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Emotion Based Music Recommendation System
Commit 9aa790e5 authored by Aditya Hiteshbhai's avatar Aditya Hiteshbhai
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fix: github profile link fixed, found and fixed small bug in app.py

parent 7ff2e846
Pipeline #1889 failed with stages
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      README.md
      View file @ 9aa790e5
      ......@@ -8,23 +8,23 @@ The EmoMusic Recommender is an innovative application that combines text and fac
      - **Udhay Brahmi**
      - Responsibilities: Implementing CNN model
      - GitHub: [GitHub Profile](https://github.com/udhaybrahmi)
      - GitHub: [GitHub Profile](https://git.cse.iitb.ac.in/udhaybrahmi)
      - **Jay Gorakhiya**
      - Responsibilities: Implementing Text-Based model and Database
      - GitHub: [GitHub Profile](https://github.com/jaygorakhiya)
      - GitHub: [GitHub Profile](https://git.cse.iitb.ac.in/jaygorakhiya)
      - **Utsav Manani**
      - Responsibilities: Streamlit Design and Implementation, GitHub
      - GitHub: [GitHub Profile](https://github.com/utsavmanani)
      - GitHub: [GitHub Profile](https://git.cse.iitb.ac.in/utsavuv)
      - **Vinit Patel**
      - Responsibilities: Streamlit Implementation and Presentation
      - GitHub: [GitHub Profile](https://github.com/vinitpatel-007)
      - GitHub: [GitHub Profile](https://git.cse.iitb.ac.in/vinitpatel)
      - **Aditya Kansara**
      - Responsibilities: UI and Model integration with Database
      - GitHub: [GitHub Profile](https://github.com/adityakansara)
      - GitHub: [GitHub Profile](https://git.cse.iitb.ac.in/adityakansara)
      ## Work Split
      ......
      app.py
      View file @ 9aa790e5
      ......@@ -95,7 +95,7 @@ def fun(emotions):
      data = pd.concat([data, temp[:]])
      elif v == 'happyn':
      temp = df_happypn.sample(n=t)
      temp = df_happyn.sample(n=t)
      data = pd.concat([data, temp[:]])
      elif v == 'sadp':
      ......@@ -142,7 +142,7 @@ def fun(emotions):
      data = pd.concat([data, temp[:]])
      elif v == 'happyn':
      temp = df_happypn.sample(n=t)
      temp = df_happyn.sample(n=t)
      data = pd.concat([data, temp[:]])
      elif v == 'sadp':
      ......@@ -189,7 +189,7 @@ def fun(emotions):
      data = pd.concat([data, temp[:]])
      elif v == 'happyn':
      temp = df_happypn.sample(n=t)
      temp = df_happyn.sample(n=t)
      data = pd.concat([data, temp[:]])
      elif v == 'sadp':
      ......@@ -236,7 +236,7 @@ def fun(emotions):
      data = pd.concat([data, temp[:]])
      elif v == 'happyn':
      temp = df_happypn.sample(n=t)
      temp = df_happyn.sample(n=t)
      data = pd.concat([data, temp[:]])
      elif v == 'sadp':
      ......@@ -283,7 +283,7 @@ def fun(emotions):
      data = pd.concat([data, temp[:]])
      elif v == 'happyn':
      temp = df_happypn.sample(n=t)
      temp = df_happyn.sample(n=t)
      data = pd.concat([data, temp[:]])
      elif v == 'sadp':
      ......
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