import streamlit.components.v1 as components
from streamlit_player import st_player
from transformers import pipeline
import streamlit as st
import random 


def tester(text):
  classifier = pipeline("sentiment-analysis", model='bhadresh-savani/distilbert-base-uncased-emotion')
  results = classifier(text)
  #st.subheader(results[0]['label'])

#tester(emo)
  generator = st.button("Generate Song!")
  if (generator == True):
    if (results[0]['label']=="anger"): #songs for anger emotion
      with open('angryplaylist.txt') as f:
        contents = f.read()
    components.html(contents,width=560,height=325)   


#with st.form(key="form1"):
emo = st.text_input("Enter a text/phrase/sentence. A corresponding song will be recommended based on its emotion.", placeholder="tester po")
    #submit = st.form_submit_button("Generate Playlist!")

tester(emo)
  
  
#def finder(ome):

  

  
  
#finder(tester(emo))