app.py

import streamlit as st
from streamlit_player import st_player
from transformers import pipeline



def tester(text):
  #classifier = pipeline("sentiment-analysis", arpanghoshal/EmoRoBERTa)
  #classifier = pipeline("sentiment-analysis", model='cardiffnlp/twitter-roberta-base-emotion')
  #classifier = pipeline("sentiment-analysis", 'j-hartmann/emotion-english-distilroberta-base')
  classifier = pipeline("sentiment-analysis", 'cardiffnlp/twitter-roberta-base-emotion')
  
  
  
  
  cardiffnlp/twitter-roberta-base-emotion
  results = classifier(text)
  st.write(results[0]['label'])
  
  if (results[0]['label']=="anger"):
    st_player("https://youtu.be/CmSKVW1v0xM")
    
  elif (results[0]['label']=="disgust"):
    st_player("https://youtu.be/CmSKVW1v0xM")
    
  elif (results[0]['label']=="fear"):
    st_player("https://youtu.be/CmSKVW1v0xM")
    
  elif (results[0]['label']=="joy"):
    st_player("https://youtu.be/CmSKVW1v0xM")
    
  elif (results[0]['label']=="sadness"):
    st_player("https://open.spotify.com/playlist/37i9dQZF1E4s6KXygylRFz")
    
  elif (results[0]['label']=="surprise"):
    st_player("https://youtu.be/CmSKVW1v0xM")
  
  
  return results[0]['label']
  #return results

emo = st.text_input('Enter text here:')
tester(emo)