Spaces:
Runtime error
Runtime error
| 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.write(results[0]['label']) | |
| if (results[0]['label']=="joy"): #songs for joy emotion | |
| with open('joyplaylist.txt') as f: | |
| contents = f.read() | |
| components.html(contents,width=560,height=325) | |
| elif (results[0]['label']=="anger"): #songs for anger emotion | |
| with open('angryplaylist.txt') as f: | |
| contents = f.read() | |
| components.html(contents,width=560,height=325) | |
| elif (results[0]['label']=="fear"): | |
| with open('fearplaylist.txt') as f: | |
| contents = f.read() | |
| components.html(contents,width=560,height=325) | |
| elif (results[0]['label']=="sadness"): #songs for sadness emotion | |
| with open('sadplaylist.txt') as f: | |
| contents = f.read() | |
| components.html(contents,width=560,height=325) | |
| elif (results[0]['label']=="surprise"): | |
| st.write("gulat ka noh") | |
| elif (results[0]['label']=="love"): | |
| with open('loveplaylist.txt') as f: | |
| contents = f.read() | |
| components.html(contents,width=560,height=325) | |
| st.header("stream your emotions") | |
| emo = st.text_input("Enter a text/phrase/sentence. A corresponding song will be recommended based on its emotion.") | |
| st.write("Examples: i love you so much") | |
| st.write("I am exhausted.") | |
| st.write("I feel energetic.") | |
| st.write("bro you scared me there") | |
| tester(emo) | |